Indigo AG, Inc.

United States of America

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Date
2024 26
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2022 15
2021 23
2020 3
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IPC Class
G06Q 50/02 - AgricultureFishingForestryMining 34
A01C 1/06 - Coating or dressing seed 30
A01H 17/00 - Symbiotic or parasitic combinations including one or more new plants, e.g. mycorrhiza 25
A01N 63/00 - Biocides, pest repellants or attractants, or plant growth regulators containing microorganisms, viruses, microbial fungi, animals or substances produced by, or obtained from, microorganisms, viruses, microbial fungi or animals, e.g. enzymes or fermentates 25
C12N 1/20 - BacteriaCulture media therefor 23
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NICE Class
42 - Scientific, technological and industrial services, research and design 18
35 - Advertising and business services 17
36 - Financial, insurance and real estate services 17
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services 13
01 - Chemical and biological materials for industrial, scientific and agricultural use 12
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1.

CLIPS

      
Serial Number 98812391
Status Pending
Filing Date 2024-10-21
Owner Indigo Ag, Inc. ()
NICE Classes  ? 07 - Machines and machine tools

Goods & Services

Agricultural machines for dispensing biological inoculants and agricultural chemicals during planting, harvesting, processing, transportation, or storage operations; Machines for dispensing agricultural formulations in liquid, gel, powder, vapor, or gas form; Agricultural machines, namely, seed treaters; Agricultural seed treatment machines, namely automated systems for applying biological and chemical treatments to seeds; Machines for applying biological inoculants or agricultural chemicals to agricultural plants or seeds; Agricultural machines for automated dispensing of treatments in liquid, gas, vapor, gel, or powder form onto crops, seeds, or soils; Mechanical devices for applying treatments, such as biological inoculants or seed treatments, during seed preparation and storage; Machines for handling and stabilizing seed treatments during storage and transport; Agricultural input dispensing machines for use with planting, harvesting, processing, storage, and crop transportation equipment; Agricultural machines for dispensing biological or chemical products into crop transfer equipment, such as augers, conveyors, or tenders; Agricultural machines for dispensing biological or chemical products into seed storage containers, such as seed boxes, seed bags, and seed bins; Mechanical apparatus for dispensing biological inoculants or agricultural chemicals into containers for storage of agricultural crops; Agricultural dispensing machines for use with planting or harvesting equipment during field operations, for applying liquids, gases, vapors, gels, or powders;

2.

ECOSYSTEM ATTRIBUTE SIMULATION MODELS

      
Application Number US2024020134
Publication Number 2024/192344
Status In Force
Filing Date 2024-03-15
Publication Date 2024-09-19
Owner INDICO AG, INC. (USA)
Inventor
  • Brummitt, Charles, D.
  • Dokoohaki, Hamze
  • Kumar, Ashok, A.
  • Easter, Mark, J.
  • Segal, Brian
  • Black, Christopher, K.
  • Kent, Jeffrey, J.

Abstract

An application determines, for a first given time, first latent states for a geographic region. The application obtains one or more measurements for one or more ecosystem attributes for the geographic region. Following an intervention, the application determines, at a second given time following the first given time, second latent states for the geographic region. The application obtains one or more post-intervention ecosystem attributes by applying the one or more measurements and the second latent states to a model configured to output one or more estimated ecosystem attributes for the geographic region. The application updates the first latent states using the post-intervention estimated ecosystem attributes and determines a counterfactual latent state for the region using the updated first latent states. The application generates, based on the counterfactual latent state, a simulation for the geographic region that simulates counterfactual ecosystem attributes for a scenario where the intervention had not occurred.

IPC Classes  ?

3.

SEED TREATMENT DISPENSERS

      
Application Number US2024018574
Publication Number 2024/186853
Status In Force
Filing Date 2024-03-06
Publication Date 2024-09-12
Owner INDIGO AG, INC. (USA)
Inventor
  • Giebel, Jonathan
  • Calzia, Kevin
  • Xu, Tao
  • Nikkel, Corey
  • Baker, Trudi, A.
  • Caldwell, Bruce
  • Moyer, Jon
  • Fife, Jane
  • Koenig, Chris
  • Sells, Matt
  • Braun, Erika
  • Riekert, Samuel
  • Cink, James, H.

Abstract

A seed treatment dispenser system is described herein. The seed treatment dispenser includes a seed treatment reservoir storing seed treatment that can be applied to seeds when or prior to planting the seeds. The seed treatment dispenser system includes an activation mechanism that, when activated, controls a release of the seed treatment from the seed treatment reservoir. The activation mechanism can be mechanical, for instance producing a release of seed treatment in response to pressure caused by seeds flowing through a seed container. The activation mechanism can be electronic, for instance controlling seed treatment release in response to detecting a movement of seeds or in response to a proximity of seeds. The activation mechanism may activate in response to a force applied or input provided by a user, for instance in response to pressure produced by the activation mechanism being applied directly to the seed treatment reservoir.

IPC Classes  ?

  • A01C 7/04 - Single-grain seeders with or without suction devices
  • A01C 1/06 - Coating or dressing seed

4.

FORMULATION FOR STABILIZATION OF BIOLOGICAL MATERIALS

      
Application Number US2024015273
Publication Number 2024/168313
Status In Force
Filing Date 2024-02-09
Publication Date 2024-08-15
Owner INDIGO AG, INC. (USA)
Inventor
  • Dacunha, Ii, Christopher M.
  • Sauder, Laura A.
  • Schuster, Brian M.

Abstract

Disclosed herein include methods for improving the stability of biological material, e.g., through manufacturing and distribution of products comprising the same. Also disclosed herein are synthetic compositions comprising microorganisms having improved stability and treatment formulations capable of providing improved stability for a microorganism heterologously disposed therein.

IPC Classes  ?

  • A01N 63/27 - Pseudomonas
  • A01P 5/00 - Nematocides
  • A01N 25/22 - Biocides, pest repellants or attractants, or plant growth regulators, characterised by their forms, or by their non-active ingredients or by their methods of applicationSubstances for reducing the noxious effect of the active ingredients to organisms other than pests containing ingredients stabilising the active ingredients
  • C12N 1/20 - BacteriaCulture media therefor
  • A01N 25/08 - Biocides, pest repellants or attractants, or plant growth regulators, characterised by their forms, or by their non-active ingredients or by their methods of applicationSubstances for reducing the noxious effect of the active ingredients to organisms other than pests containing solids as carriers or diluents
  • A01P 21/00 - Plant growth regulators

5.

Remote sensing algorithms for mapping regenerative agriculture

      
Application Number 18435087
Grant Number 12277761
Status In Force
Filing Date 2024-02-07
First Publication Date 2024-08-01
Grant Date 2025-04-15
Owner Indigo Ag, Inc. (USA)
Inventor
  • Melaas, Eli Kellen
  • Braswell, Bobby Harold
  • Bolton, Douglas Kane

Abstract

This invention relates to methods for determining adoption and impact of regenerative farming practices. Embodiments of these methods, take satellite imagery and weather data as inputs, process those data according to methods of the present invention, and produce outputs which indicate whether a specific farming practice (for example, no-till or cover cropping) was adopted for a particular field or region for a particular season.

IPC Classes  ?

6.

AGRICULTURAL ENDOPHYTE-PLANT COMPOSITIONS, AND METHODS OF USE

      
Application Number 18222226
Status Pending
Filing Date 2023-07-14
First Publication Date 2024-08-01
Owner Indigo Ag, Inc. (USA)
Inventor
  • Von Maltzahn, Geoffrey
  • Flavell, Richard Bailey
  • Toledo, Gerardo V.
  • Jack, Allison
  • Johnston, David Morris
  • Djonovic, Slavica
  • Marquez, Luis Miguel
  • Millet, Yves Alain
  • Sadowski, Craig
  • Lyford, Jeffrey
  • Naydich, Alexander

Abstract

This application relates to methods and materials for providing a benefit to a seed or seedling of an agricultural plant (e.g., an agricultural grass plant or a Glycine plant), or the agricultural plant derived from the seed or seedling. For example, this application provides purified bacterial populations that include novel seed bacterial endophytes, and synthetic combinations of seeds and/or seedlings (e.g., cereal or soy seeds and/or cereal or soy seedlings) with heterologous seed-derived bacterial endophytes.

IPC Classes  ?

  • G01N 33/50 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing
  • A01C 1/06 - Coating or dressing seed
  • A01N 63/20 - BacteriaSubstances produced thereby or obtained therefrom
  • A01C 1/00 - Apparatus, or methods of use thereof, for testing or treating seed, roots, or the like, prior to sowing or planting

7.

Remote Sensing Algorithms for Mapping Regenerative Agriculture

      
Application Number 18440354
Status Pending
Filing Date 2024-02-13
First Publication Date 2024-07-25
Owner Indigo Ag, Inc. (USA)
Inventor
  • Melaas, Eli Kellen
  • Braswell, Bobby Harold
  • Bolton, Douglas Kane

Abstract

This invention relates to methods for determining adoption and impact of regenerative farming practices. Embodiments of these methods, take satellite imagery and weather data as inputs, process those data according to methods of the present invention, and produce outputs which indicate whether a specific farming practice (for example, no-till or cover cropping) was adopted for a particular field or region for a particular season.

IPC Classes  ?

8.

FRAMEWORK FOR MODELING SYNTHETIC AND EXPERIMENTAL AGRONOMIC DATA

      
Application Number US2024011516
Publication Number 2024/152027
Status In Force
Filing Date 2024-01-12
Publication Date 2024-07-18
Owner INDIGO AG, INC. (USA)
Inventor
  • Mcloud, Philip, Andrew
  • Fratangelo, Timothy
  • Peters, Samuel, J.
  • Shulman, Ben, Wong

Abstract

A system for modeling synthetic and experimental agronomic data is provided. The system generates, based on accessed agronomic data, a representative data object for each management event performed on an agronomic region. The system generates, in response to receiving a request to perform a target experimental farming practice on a candidate agronomic region, a target experimental data object for the candidate agronomic region using a target experimental template. The system identifies one or more candidate data objects corresponding to the target experimental farming practice for the candidate agronomic region and determines an ecosystem attribute of the candidate agronomic region using one or more second models trained to predict ecosystem attributes of agronomic regions. The system assigns an impact score to the target experimental farming practice based on a difference between the determined ecosystem attribute and a baseline ecosystem attribute for the candidate agronomic region.

IPC Classes  ?

  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06F 9/451 - Execution arrangements for user interfaces
  • G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
  • G09B 29/00 - MapsPlansChartsDiagrams, e.g. route diagrams

9.

Systems for Management of Location-Aware Market Data

      
Application Number 18618882
Status Pending
Filing Date 2024-03-27
First Publication Date 2024-07-18
Owner INDIGO AG, INC. (USA)
Inventor
  • Tubilla, Fernando
  • Malizia, Nicholas

Abstract

A method of generating a visualization of location-dependent values is provided where a plurality of bids and a plurality of supply locations are received from at least one datastore. Each of the plurality of bids has an associated location. A first geographic location is selected from the plurality of supply locations. A ball tree is generated, the ball tree comprising a plurality of nodes, each node of the ball tree comprising a pivot geographic location and a radius, each node corresponding to at least one local value having a location within the radius of the pivot. The ball tree is traversed to generate sorted collection of location dependent values. Each of the location dependent values is determined from one of the plurality of bids. A map of the collection of location dependent values is output.

IPC Classes  ?

10.

LOCALIZED CARBON SOURCE INTERVENTION MODELING

      
Application Number US2023085583
Publication Number 2024/138084
Status In Force
Filing Date 2023-12-21
Publication Date 2024-06-27
Owner INDIGO AG, INC. (USA)
Inventor
  • Shankar, Jyoti
  • Basch, Nathan
  • Weeks, Joseph

Abstract

A system and method for determining an expected ecosystem attributes for an agronomic region using an emulator system. The system includes a network system configured to access ground-truth agronomic data and remote sensing data for a plurality of agronomic regions, apply a first agronomic model to generate emulator training data for the agronomic regions, train a second agronomic model to generate an emissions baseline for an input agronomic region, and apply a third agronomic model to generate one or more interventions for the input agronomic region. The interventions may include one or more agronomic practices that are different from typical agronomic practices for the region, and may be selected based on their potential impact on an ecosystem attribute. The system may be used to determine the contribution of one or more agronomic practices, fields, or combinations thereof to ecosystem attributes and impacts of a geographic region.

IPC Classes  ?

11.

IRRIGATION SYSTEM IN AGRICULTURAL ENVIRONMENT

      
Application Number 18391335
Status Pending
Filing Date 2023-12-20
First Publication Date 2024-06-27
Owner Indigo Ag, Inc. (USA)
Inventor
  • Qu, Yuanshuo
  • Shankar, Jyoti
  • Atwill, Richard L.
  • Zmijewski, Kirk A.

Abstract

Irrigation systems in agricultural contexts are described herein. Specifically, temperature data is measured using temperature sensors installed above a minimum waterline and below a maximum waterline. Water pump activity data is measured based on water flow outputs from water pumps on a field. Irrigation events are detected and managed using the temperature data and the water pump activity data. Future irrigation events can be implemented, modified, or changed based on detected irrigation events.

IPC Classes  ?

  • A01G 25/16 - Control of watering
  • G05B 19/042 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors

12.

EFFICIENT GENERATION OF ZONAL SUMMARIES OF GEOSPATIAL DATA

      
Application Number US2023085208
Publication Number 2024/137853
Status In Force
Filing Date 2023-12-20
Publication Date 2024-06-27
Owner INDIGO AG, INC. (USA)
Inventor
  • Salib, Michael, J.
  • Cormier, Tina, A.
  • Braswell, Bobby, H.

Abstract

The method includes a first node receiving an input shape representing a field boundary with geographic coordinates. The first node accesses a geospatial data raster which includes tiles and with metadata defining boundaries of the tiles. The input shape is partitioned into multiple request shapes based on the boundaries of the tiles and the input shape's coordinates. The first node generates a first request to a second node to produce a zonal summary for the input shape. The second node generates a second request in response to receiving the first request, to generate a request shape digest for each of the plurality of request shapes. The second node instantiates workers to perform the second request. The workers generate digests based on tiles overlapping the request shape, and provides the digests to the first computing node, which aggregates the digests to produce a zonal summary for the input shape.

IPC Classes  ?

  • G06T 7/10 - SegmentationEdge detection
  • G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
  • G06F 16/909 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
  • G06F 16/29 - Geographical information databases
  • G06T 11/20 - Drawing from basic elements, e.g. lines or circles

13.

ENDOPHYTE COMPOSITIONS AND METHODS FOR IMPROVED PLANT HEALTH

      
Application Number 18556542
Status Pending
Filing Date 2022-04-22
First Publication Date 2024-06-06
Owner INDIGO AG, INC. (USA)
Inventor
  • Hubert, David A.
  • Satinsky, Brandon M.
  • Basu, Shib

Abstract

This invention relates to compositions and methods for improving plant health, wherein a plant is heterologously disposed to one or more endophytes, or derived from a plant element heterologously disposed to one or more endophytes.

IPC Classes  ?

  • A01N 63/22 - Bacillus
  • A01N 25/08 - Biocides, pest repellants or attractants, or plant growth regulators, characterised by their forms, or by their non-active ingredients or by their methods of applicationSubstances for reducing the noxious effect of the active ingredients to organisms other than pests containing solids as carriers or diluents
  • A01N 25/24 - Biocides, pest repellants or attractants, or plant growth regulators, characterised by their forms, or by their non-active ingredients or by their methods of applicationSubstances for reducing the noxious effect of the active ingredients to organisms other than pests containing ingredients to enhance the sticking of the active ingredients
  • A01N 63/27 - Pseudomonas
  • A01N 63/38 - Trichoderma
  • A01P 3/00 - Fungicides
  • C12R 1/07 - Bacillus
  • C12R 1/38 - Pseudomonas
  • C12R 1/885 - Trichoderma

14.

Addressing Incomplete Soil Sample Data in Soil Enrichment Protocol Projects

      
Application Number 18507512
Status Pending
Filing Date 2023-11-13
First Publication Date 2024-05-30
Owner Indigo Ag, Inc. (USA)
Inventor
  • Segal, Brian
  • Brummitt, Charles David

Abstract

In various embodiments, methods, systems, and computer program products are provided for estimating greenhouse gas emissions. In particular, methods, systems, and computer program products are presented for the task of quantifying emissions reduction from changes in stocks of soil organic carbon (SOC). The methods apply more generally to tasks that involve quantification of a total or average across a population of land (and/or possibly any space and any time) using measurements at a sample from that population. The sample may not be representative or unbiased. In some examples, estimating greenhouse gas emissions may apply to quantifying the total stock of SOC in land, the total nitrous oxide emissions in land and a time interval.

IPC Classes  ?

15.

MACHINE LEARNING APPROACH TO DETECTING AND TRACING AGGREGATED ECOSYSTEM ATTRIBUTES

      
Application Number US2023078118
Publication Number 2024/097621
Status In Force
Filing Date 2023-10-27
Publication Date 2024-05-10
Owner INDIGO AG, INC. (USA)
Inventor
  • Sherburne, Abigail
  • Jones, Ryan
  • Kelly, Francis
  • Chang, Alice S.
  • Basch, Nathan
  • Weeks, Joseph
  • Shankar, Jyoti
  • Sidorsky, Misha
  • Coles, Peyton

Abstract

An application identifies a geographic boundary associated with a crop. The application retrieves remote sensing data corresponding to the geographic boundary and a time, and applies a machine-learned model to the remote sensing data, the machine-learned model configured to produce ecosystem data comprising a measure of one or more ecosystem attributes associated with the geographic boundary and the time. The application modifies a crop database to include the ecosystem data in association with the crop.

IPC Classes  ?

16.

Machine learning in agricultural planting, growing, and harvesting contexts

      
Application Number 18456129
Grant Number 12243112
Status In Force
Filing Date 2023-08-25
First Publication Date 2024-04-18
Grant Date 2025-03-04
Owner Indigo Ag, Inc. (USA)
Inventor
  • Perry, David Patrick
  • Von Maltzahn, Geoffrey Albert
  • Berendes, Robert
  • Jeck, Eric Michael
  • Knight, Barry Loyd
  • Raymond, Rachel Ariel
  • Trivisvavet, Ponsi
  • Wong, Justin Y H
  • Rajdev, Neal Hitesh
  • Meunier, Marc-Cedric Joseph
  • Leist, Casey James
  • Tadi, Pranav Ram
  • Flaherty, Andrea Lee
  • Brummitt, Charles David
  • Sinha, Naveen Neil
  • Lambert, Jordan
  • Hennek, Jonathan
  • Becco, Carlos
  • Allen, Mark
  • Bachner, Daniel
  • Derossi, Fernando
  • Lamont, Ewan
  • Lowenthal, Rob
  • Creagh, Dan
  • Abramson, Steve
  • Allen, Ben
  • Shankar, Jyoti
  • Moscardini, Chris
  • Crane, Jeremy
  • Weisman, David
  • Keating, Gerard
  • Moores, Lauren
  • Pate, William

Abstract

A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

IPC Classes  ?

  • G06Q 50/02 - AgricultureFishingForestryMining
  • A01B 79/00 - Methods for working soil
  • A01B 79/02 - Methods for working soil combined with other agricultural processing, e.g. fertilising, planting
  • A01C 21/00 - Methods of fertilising
  • G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
  • G06F 18/21 - Design or setup of recognition systems or techniquesExtraction of features in feature spaceBlind source separation
  • G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
  • G06N 3/02 - Neural networks
  • G06N 3/047 - Probabilistic or stochastic networks
  • G06N 3/08 - Learning methods
  • G06N 5/04 - Inference or reasoning models
  • G06N 7/01 - Probabilistic graphical models, e.g. probabilistic networks
  • G06N 20/00 - Machine learning
  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
  • G06Q 30/02 - MarketingPrice estimation or determinationFundraising
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06V 10/84 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks
  • G06V 20/10 - Terrestrial scenes

17.

OUTCOME AWARE COUNTERFACTUAL SCENARIOS FOR AGRONOMY

      
Application Number US2023076750
Publication Number 2024/081823
Status In Force
Filing Date 2023-10-12
Publication Date 2024-04-18
Owner INDIGO AG, INC. (USA)
Inventor
  • Peters, Samuel, J.
  • Weeks, Joseph
  • Shankar, Jyoti
  • Basch, Nathan
  • Kumar, Ashok, A.
  • Horvath, Samantha
  • Shulman, Ben, Wong
  • Brown, Christopher, R.

Abstract

A counterfactual engine identifies counterfactual agronomic practices that would reduce an ecosystem impact for agronomic areas and/or regions overseen by that manager. To do so, the counterfactual engine identifies a baseline scenario for an agronomic region. The agronomic region includes agronomic areas sharing similar characteristics. The baseline scenario includes agronomic practices typically implemented in the region. The counterfactual engine determines an ecosystem outcome for the baseline scenario. The counterfactual engine identifies one or more counterfactual agronomic practices that would improve or maintain a baseline ecosystem outcome if implemented. The resulting counterfactual agronomic practices may be included in a counterfactual scenario generated by the counterfactual engine.

IPC Classes  ?

18.

UNCERTAINTY PREDICTION MODELS

      
Application Number US2023032930
Publication Number 2024/059300
Status In Force
Filing Date 2023-09-15
Publication Date 2024-03-21
Owner INDIGO AG, INC. (USA)
Inventor
  • Melaas, Eli Kellen
  • Braswell, Bobby Harold
  • Graesser, Jordan

Abstract

A method of determining an uncertainty of a machine learning model. The method includes initializing a plurality of models, each with a unique set of model parameters, reading a training dataset, selecting a unique subset of the training dataset for each of the plurality of models, training each of the plurality of models according to its unique set of model parameters and unique subset of the training data, reading a validation dataset, applying each of the plurality of models to the validation dataset to obtain a plurality of output distributions, determining an uncertainty from the plurality of output distributions.

IPC Classes  ?

  • G06N 20/20 - Ensemble learning
  • A01B 79/00 - Methods for working soil
  • G06F 18/2415 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
  • G06N 7/01 - Probabilistic graphical models, e.g. probabilistic networks

19.

METHODS OF USE OF SEED-ORIGIN ENDOPHYTE POPULATIONS

      
Application Number 18368704
Status Pending
Filing Date 2023-09-15
First Publication Date 2024-03-07
Owner Indigo Ag, Inc. (USA)
Inventor
  • Von Maltzahn, Geoffrey
  • Flavell, Richard Bailey
  • Toledo, Gerardo V.
  • Djonovic, Slavica
  • Marquez, Luis Miguel
  • Johnston, David Morris
  • Millet, Yves Alain
  • Lyford, Jeffrey
  • Naydich, Alexander
  • Sadowski, Craig

Abstract

This application relates to methods and materials for providing a benefit to a seed or seedling of an agricultural plant (e.g., an agricultural grass plant), or the agricultural plant derived from the seed or seedling. For example, this application provides purified bacterial populations that include novel seed-origin bacterial endophytes, and synthetic combinations of seeds and/or seedlings (e.g., cereal seeds and/or seedlings) with heterologous seed-derived bacterial endophytes.

IPC Classes  ?

  • A01N 63/20 - BacteriaSubstances produced thereby or obtained therefrom
  • A01C 1/06 - Coating or dressing seed
  • G01N 33/50 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing

20.

BOUNDARY VERIFICATION SYSTEMS

      
Application Number US2023030295
Publication Number 2024/039690
Status In Force
Filing Date 2023-08-15
Publication Date 2024-02-22
Owner INDIGO AG, INC. (USA)
Inventor
  • Slone, Ben
  • Moreau, Kristen
  • Godoshian, Sarah
  • Herron, Rebecca
  • Hilbert, Matthew
  • Kasper, Ashley

Abstract

Boundary Verification Systems are provided. A proposed boundary of a geographic area is read. One or more boundary validation criteria is read. One or more attribute of the geographic area over time is determined from satellite imagery of the geographic area. The proposed boundary is validated against the one or more boundary validation criteria and the one or more attribute. A revised boundary is generated based on the proposed boundary and the one or more attribute.

IPC Classes  ?

  • G06T 7/00 - Image analysis
  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06N 20/00 - Machine learning
  • G06V 20/10 - Terrestrial scenes
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

21.

INTERVENTION AND FIELD CHARACTERISTIC MACHINE-LEARNED MODELING

      
Application Number 18268564
Status Pending
Filing Date 2021-12-17
First Publication Date 2024-02-08
Owner INDIGO AG, INC. (USA)
Inventor
  • Xu, Ying
  • Winston, Max E.
  • Wang, Ching-Hao
  • Wang, Huan
  • Xu, Sharon

Abstract

One or more fields can be divided into portions, and different sets of interventions can be performed during the course of planting and growing a crop in each field portion. The effect of each set of interventions on the crop outcome of the corresponding field portion can be determined using a best performing model of a set of predictive models applied to the set of interventions. The selected model can be used to determine an effect of each intervention on crop outcome of a field portion by estimating a portion of the crop outcome attributable to the intervention. A machine-learned model can be trained based on the effect each intervention has on crop outcome determined by the selected model, and the machine-learned model can be applied to subsequent fields and crops to predict effects that various interventions can have on subsequent crop outcomes.

IPC Classes  ?

  • G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
  • G06Q 50/02 - AgricultureFishingForestryMining

22.

FIELD-SCALE HARVEST DATE ESTIMATION BASED ON SATELLITE IMAGERY

      
Application Number US2023029167
Publication Number 2024/030401
Status In Force
Filing Date 2023-08-01
Publication Date 2024-02-08
Owner INDIGO AG, INC. (USA)
Inventor
  • Nguyen, Nhung
  • Jensen, Katherine

Abstract

A method of predicting a field-scale harvest date includes receiving a time series of satellite image inputs and a time series of weather inputs for a given geographic region during a predetermined time period; generating a time series of metrics from the satellite image inputs and the weather inputs for at least one field within the geographic region, wherein the metrics comprise at least a normalized difference vegetation index (ND VI), a normalized difference water index (NDWI), shortwave infrared (SWIR2) reflectance, temperature, precipitation, and growing degree days (ODD); providing the time series of metrics to one or more trained models to obtain a time series of daily probabilities of harvest status for the at least one field; and comparing the time series of daily probabilities to a predetermined threshold to determine the predicted harvest date.

IPC Classes  ?

23.

ENDOPHYTE COMPOSITIONS AND METHODS FOR IMPROVED PLANT HEALTH

      
Application Number US2023070356
Publication Number 2024/020353
Status In Force
Filing Date 2023-07-17
Publication Date 2024-01-25
Owner INDIGO AG, INC. (USA)
Inventor
  • Petersen, Nicole Marie
  • Cong, Tao
  • Calzia, Kevin
  • Hudson, Mary Ashley
  • Sarver, Jason M.
  • Tazi, Hiba M.

Abstract

Disclosed herein include methods for improving plant health by heterologously disposing one or more endophytes to a plant element in an effective amount to improve a trait of agronomic importance in a plant derived from the treated plant element relative to a reference plant derived from a reference plant element. For example, the one or more endophytes comprise at least one polynucleotide sequence that is at least 97% identical to one or more of SEQ ID NOs. 5 and 6.

IPC Classes  ?

24.

SYSTEMS AND METHODS FOR ECOSYSTEM CREDIT RECOMMENDATIONS

      
Application Number 18372287
Status Pending
Filing Date 2023-09-25
First Publication Date 2024-01-18
Owner Indigo Ag, Inc. (USA)
Inventor
  • Campbell, Eleanor Elizabeth
  • Mcdonald, Jacob S.
  • Goodman, Aaron J.
  • Salib, Michael J.
  • Baldo, Elisabeth F.
  • Ma, Keith F.
  • Stack, Daniel Michael
  • Treischman, Erich J.
  • Motew, Melissa
  • Peters, Samuel J.
  • Black, Christopher K.
  • Gurung, Ram B.
  • Brummitt, Charles D.
  • Segal, Brian D.
  • Smart, David P.
  • Kumar, Ashok A.
  • Rogers, Barclay Rowland
  • Belousova, Maria
  • Shankar, Jyoti
  • Harbourt, Christopher Mark
  • Hovsepian, Ronald W.
  • Menipaz, Amit
  • Weeks, Joseph
  • Horvath, Samantha

Abstract

Systems, methods, and computer program products for recommending farming practices based on modelled outcomes are provided. In various embodiments, field data comprising geospatial boundaries of one or more field are received. Management event data comprising one or more management events within the one or more fields is received. For each management event, a management event boundary defining geospatial boundaries is received, and one or more management zones is determined based on the management event boundaries. One or more ecosystem attribute quantification method is applied to each of the one or more management zones to generate one or more ecosystem attributes of the one or more management zones. One or more ecosystem attribute is selected for each management zone. An ecosystem credit token or portion thereof is generated for each selected ecosystem attribute. The ecosystem credit token is associated with a quantity of raw agricultural product.

IPC Classes  ?

25.

ENDOPHYTE COMPOSITIONS AND METHODS FOR IMPROVED PLANT HEALTH

      
Application Number US2023070181
Publication Number 2024/015944
Status In Force
Filing Date 2023-07-13
Publication Date 2024-01-18
Owner INDIGO AG, INC. (USA)
Inventor
  • Hubert, David A.
  • Basu, Shib Sankar
  • Smith, John Paul
  • Valencia, Cesar U.
  • Screen, Steven E.
  • Vassallo, Carlos

Abstract

This invention relates to compositions and methods for improving plant health, wherein a plant is heterologously disposed to one or more endophytes, or derived from a plant element heterologously disposed to one or more endophytes.

IPC Classes  ?

  • A01N 63/22 - Bacillus
  • A01N 63/50 - Isolated enzymesIsolated proteins
  • A01P 3/00 - Fungicides
  • A01P 15/00 - Biocides for specific purposes not provided for in groups
  • A01P 21/00 - Plant growth regulators
  • C12N 1/20 - BacteriaCulture media therefor
  • A01N 37/46 - N-acyl derivatives
  • A01N 43/56 - 1,2-DiazolesHydrogenated 1,2-diazoles
  • A01P 5/00 - Nematocides
  • A01N 25/00 - Biocides, pest repellants or attractants, or plant growth regulators, characterised by their forms, or by their non-active ingredients or by their methods of applicationSubstances for reducing the noxious effect of the active ingredients to organisms other than pests
  • A01N 25/04 - Dispersions or gels

26.

ENDOPHYTE COMPOSITIONS AND METHODS FOR IMPROVED PLANT HEALTH

      
Application Number US2023070091
Publication Number 2024/015884
Status In Force
Filing Date 2023-07-12
Publication Date 2024-01-18
Owner INDIGO AG, INC. (USA)
Inventor
  • Maloney, Diana
  • Basu, Shib Sankar
  • Dacunha Ii, Christopher M.
  • Sauder, Laura A.
  • Schuster, Brian M.
  • Younger, Kristin H.
  • Screen, Steven E.
  • Xiang, Ni
  • Handy, Tess E.
  • Valencia, Cesar U.
  • Call, Jennifer D.

Abstract

This invention relates to compositions and methods for improving plant health, wherein a plant is heterologously disposed to one or more endophytes, or derived from a plant element heterologously disposed to one or more endophytes.

IPC Classes  ?

  • A01N 63/27 - Pseudomonas
  • A01P 5/00 - Nematocides
  • A01N 25/22 - Biocides, pest repellants or attractants, or plant growth regulators, characterised by their forms, or by their non-active ingredients or by their methods of applicationSubstances for reducing the noxious effect of the active ingredients to organisms other than pests containing ingredients stabilising the active ingredients
  • C12N 1/20 - BacteriaCulture media therefor

27.

AUTOMATED RIGHTS MANAGEMENT

      
Application Number US2023025503
Publication Number 2023/244769
Status In Force
Filing Date 2023-06-16
Publication Date 2023-12-21
Owner INDIGO AG, INC. (USA)
Inventor
  • Pezente, Aline De Souza Oliveira
  • Menipaz, Amit

Abstract

Automated rights management is provided. A plurality of delivery confirmations for a product are received. Each of the plurality of delivery confirmations is allocated among one or more contracts of sale, each of the one or more contracts of sale indicating at least a payor. Proceeds of the one or more contracts of sale are determined based on the allocation. A plurality of payment rules is read, each payment rule indicating at least a payee. Based on the proceeds of the one or more contracts of sale and the plurality of payment rules, a transaction list is constructed that minimizes the total number of transactions among the payors and payees.

IPC Classes  ?

  • G06Q 50/28 - Logistics, e.g. warehousing, loading, distribution or shipping
  • G06Q 10/0875 - Itemisation or classification of parts, supplies or services, e.g. bill of materials
  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange
  • G06Q 30/0201 - Market modellingMarket analysisCollecting market data
  • G06Q 30/06 - Buying, selling or leasing transactions
  • G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
  • G06Q 30/0601 - Electronic shopping [e-shopping]
  • G06Q 10/0835 - Relationships between shipper or supplier and carriers

28.

Endophytes, Associated Compositions, and Methods of Use

      
Application Number 18097146
Status Pending
Filing Date 2023-01-13
First Publication Date 2023-10-19
Owner Indigo Ag, Inc. (USA)
Inventor
  • Von Maltzahn, Geoffrey
  • Flavell, Richard Bailey
  • Toledo, Gerardo V.
  • Leff, Jonathan W.
  • Samayoa, Phillip
  • Marquez, Luis Miguel
  • Johnston, David Morris
  • Djonovic, Slavica
  • Millet, Yves Alain
  • Sadowski, Craig
  • Lyford, Jeffrey
  • Ambrose, Karen V.
  • Zhang, Xuecheng

Abstract

Materials and methods for improving plant traits and for providing plant benefits are provided. In some embodiments, the materials, and methods employing the same, can comprise endophytes.

IPC Classes  ?

  • A01N 63/30 - Microbial fungiSubstances produced thereby or obtained therefrom
  • A01H 17/00 - Symbiotic or parasitic combinations including one or more new plants, e.g. mycorrhiza
  • C05F 11/08 - Organic fertilisers containing added bacterial cultures, mycelia or the like

29.

Systems and methods for ecosystem credit recommendations

      
Application Number 18166640
Grant Number 11810021
Status In Force
Filing Date 2023-02-09
First Publication Date 2023-09-28
Grant Date 2023-11-07
Owner Indigo Ag, Inc. (USA)
Inventor
  • Campbell, Eleanor Elizabeth
  • Mcdonald, Jacob S.
  • Goodman, Aaron J.
  • Salib, Michael J.
  • Baldo, Elisabeth F.
  • Ma, Keith F.
  • Stack, Daniel Michael
  • Treischman, Erich J.
  • Motew, Melissa
  • Peters, Samuel J.
  • Black, Christopher K.
  • Gurung, Ram B.
  • Brummitt, Charles D.
  • Segal, Brian D.
  • Smart, David P.
  • Kumar, Ashok A.
  • Rogers, Barclay Rowland
  • Belousova, Maria
  • Shankar, Jyoti
  • Harbourt, Christopher Mark
  • Hovsepian, Ronald W.
  • Menipaz, Amit R.
  • Weeks, Joseph
  • Horvath, Samantha

Abstract

Systems, methods, and computer program products for recommending farming practices based on modelled outcomes are provided. In various embodiments, field data comprising geospatial boundaries of one or more field are received. Management event data comprising one or more management events within the one or more fields is received. For each management event, a management event boundary defining geospatial boundaries is received, and one or more management zones is determined based on the management event boundaries. The determination of one or more management zones comprises sequentially intersecting a geospatial boundary. Each sequential intersection operation creating two branches, one with the intersection of the geometries and one with the difference. This process is repeated for all management event boundaries occurring in a geospatial boundary defining a contiguous region, wherein each individual management zone contains a unique set of farming practices relative to any other management zone within the contiguous region.

IPC Classes  ?

30.

PLANT-ENDOPHYTE COMBINATIONS AND USES THEREFOR

      
Application Number 18092534
Status Pending
Filing Date 2023-01-03
First Publication Date 2023-09-14
Owner
  • AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH (Austria)
  • INDIGO AG, INC. (USA)
Inventor
  • Mitter, Birgit
  • Pastar, Milica
  • Sessitsch, Angela
  • Ambrose, Karen
  • Zhang, Xuecheng
  • Reichenberger, Guenther
  • Pfaffenbichler, Nikolaus

Abstract

The disclosure provides materials and methods for conferring improved plant traits or benefits on plants. The materials can include a formulation comprising an exogenous endophytic bacterial population, which can be disposed on an exterior surface of a seed or seedling, typically in an amount effective to colonize the plant. The formulations can include at least one member selected from the group consisting of an agriculturally compatible carrier, a tackifier, a microbial stabilizer, a fungicide, an antibacterial agent, an herbicide, a nematicide, an insecticide, a plant growth regulator, a rodenticide, and a nutrient.

IPC Classes  ?

  • G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
  • A01N 63/25 - Paenibacillus
  • C12N 1/20 - BacteriaCulture media therefor

31.

INFORMATION TRANSLATION IN AN ONLINE AGRICULTURAL SYSTEM

      
Application Number 18194655
Status Pending
Filing Date 2023-04-03
First Publication Date 2023-09-14
Owner Indigo Ag, Inc. (USA)
Inventor
  • Perry, David Patrick
  • Knight, Barry Loyd
  • Jeck, Eric Michael
  • Raymond, Rachel Ariel
  • Rajdev, Neal Hitesh
  • Von Maltzahn, Geoffrey Albert
  • Berendes, Robert
  • Post, Nathan
  • Sheets-Poling, Philip Gabriel
  • Connor, Rodney
  • Hennek, Jonathan

Abstract

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

IPC Classes  ?

  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
  • G06Q 30/0202 - Market predictions or forecasting for commercial activities
  • G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
  • G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
  • G06Q 30/0601 - Electronic shopping [e-shopping]
  • G01W 1/10 - Devices for predicting weather conditions
  • G06Q 10/0832 - Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
  • G06Q 10/0833 - Tracking
  • G06Q 10/0835 - Relationships between shipper or supplier and carriers
  • G08G 1/0968 - Systems involving transmission of navigation instructions to the vehicle
  • G06Q 10/0834 - Choice of carriers
  • G06Q 10/0836 - Recipient pick-ups
  • G06Q 30/0201 - Market modellingMarket analysisCollecting market data
  • G06N 20/00 - Machine learning
  • G06F 9/451 - Execution arrangements for user interfaces
  • G06Q 30/0283 - Price estimation or determination
  • G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange
  • G06V 20/10 - Terrestrial scenes
  • G05D 1/02 - Control of position or course in two dimensions

32.

ENDOPHYTE COMPOSITIONS AND METHODS FOR IMPROVED PLANT HEALTH

      
Application Number US2023063741
Publication Number 2023/168448
Status In Force
Filing Date 2023-03-03
Publication Date 2023-09-07
Owner INDIGO AG, INC. (USA)
Inventor
  • Knight-Connoni, Victoria
  • Schaeffer, Scott
  • Ryan, Rebecca
  • Dong, Zhanshan

Abstract

This invention relates to compositions and methods for improving plant health, wherein a plant is heterologously disposed to one or more endophytes, or derived from a plant element heterologously disposed to one or more endophytes.

IPC Classes  ?

33.

Systems and methods for ecosystem credit recommendations

      
Application Number 18166639
Grant Number 11830089
Status In Force
Filing Date 2023-02-09
First Publication Date 2023-06-15
Grant Date 2023-11-28
Owner Indigo Ag, Inc. (USA)
Inventor
  • Campbell, Eleanor Elizabeth
  • Mcdonald, Jacob S.
  • Goodman, Aaron J.
  • Salib, Michael J.
  • Baldo, Elisabeth F.
  • Ma, Keith F.
  • Stack, Daniel Michael
  • Treischman, Erich J.
  • Motew, Melissa
  • Peters, Samuel J.
  • Black, Christopher K.
  • Gurung, Ram B.
  • Brummitt, Charles D.
  • Segal, Brian D.
  • Smart, David P.
  • Kumar, Ashok A.
  • Rogers, Barclay Rowland
  • Belousova, Maria
  • Shankar, Jyoti
  • Harbourt, Christopher Mark
  • Hovsepian, Ronald W.
  • Menipaz, Amit R.
  • Weeks, Joseph
  • Horvath, Samantha

Abstract

Systems, methods, and computer program products for maintaining a collection of ecosystem credit tokens based on modelled outcomes are provided. In various embodiments, an ecosystem attribute target profile for the collection of ecosystem credit tokens is accessed. The target profile comprises a set of ecosystem characteristics, quantities of one or more ecosystem characteristics, and permanence of one or more ecosystem characteristics. A set of ecosystem credit tokens is accessed, wherein each ecosystem credit token data record comprises one or more of: a validated and verified management event, a methodology, an ecosystem attribute, a boundary, an ecosystem impact, an ecosystem credit, and an ecosystem attribute quantification method. A current profile of the collection of ecosystem credit tokens is determined, wherein the profile comprises the set of ecosystem characteristics within the collection, quantities of ecosystem characteristics, and permanence of ecosystem characteristics. The collection is automatically updated to maintain a current profile.

IPC Classes  ?

34.

ENDOPHYTE COMPOSITIONS AND METHODS FOR IMPROVED PLANT HEALTH

      
Application Number US2022081127
Publication Number 2023/108033
Status In Force
Filing Date 2022-12-07
Publication Date 2023-06-15
Owner INDIGO AG, INC. (USA)
Inventor
  • Basu, Shib Sankar
  • Hubert, David A.
  • Collins, Sara B.
  • Satinsky, Brandon M.

Abstract

This invention relates to compositions and methods for improving plant health, including treatment formulations plant comprising one or more endophytes.

IPC Classes  ?

  • A01N 63/00 - Biocides, pest repellants or attractants, or plant growth regulators containing microorganisms, viruses, microbial fungi, animals or substances produced by, or obtained from, microorganisms, viruses, microbial fungi or animals, e.g. enzymes or fermentates

35.

Systems for management of location-aware market data

      
Application Number 18154643
Grant Number 11978072
Status In Force
Filing Date 2023-01-13
First Publication Date 2023-06-08
Grant Date 2024-05-07
Owner INDIGO AG, INC. (USA)
Inventor
  • Tubilla, Fernando
  • Malizia, Nicholas

Abstract

A method of generating a visualization of location-dependent values is provided where a plurality of bids and a plurality of supply locations are received from at least one datastore. Each of the plurality of bids has an associated location. A first geographic location is selected from the plurality of supply locations. A ball tree is generated, the ball tree comprising a plurality of nodes, each node of the ball tree comprising a pivot geographic location and a radius, each node corresponding to at least one local value having a location within the radius of the pivot. The ball tree is traversed to generate sorted collection of location dependent values. Each of the location dependent values is determined from one of the plurality of bids. A map of the collection of location dependent values is output.

IPC Classes  ?

36.

RATE CARD MANAGEMENT

      
Application Number 18051798
Status Pending
Filing Date 2022-11-01
First Publication Date 2023-05-25
Owner Indigo Ag, Inc. (USA)
Inventor
  • Menipaz, Amit
  • Tubilla, Fernando
  • Sidorsky, Misha
  • Hunter, John Richard
  • Klein, Kearney
  • Luther, Andrew A.
  • Kabrich, Nick
  • Conrad, Adam
  • Davis-Cooke, Jason
  • Pollard, Jordan Lee

Abstract

Computationally efficient management of location-dependent values, such as rate cards, is provided, for example in the context of transport and market systems. A ball tree is traversed. The ball tree comprises a plurality of nodes, each node of the ball tree comprising a pivot geographic location and a radius, each node corresponding to at least one local value having a location within the radius of the pivot. Traversing the ball tree comprises: computing a bound on the location-dependent value for at least one node of the ball tree based on its corresponding at least one local value, its pivot geographic location, and a first geographic location, selectively traversing at least one child of the at least one node according to the bound, computing the location-dependent value for the at least one child based on its corresponding at least one local value, its pivot geographic location, and the first geographic location, and inserting the location dependent value of the at least one child to a sorted collection having a predetermined size.

IPC Classes  ?

  • G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
  • G06Q 10/0835 - Relationships between shipper or supplier and carriers
  • G06Q 30/0283 - Price estimation or determination

37.

Remote sensing algorithms for mapping regenerative agriculture

      
Application Number 18156814
Grant Number 11978251
Status In Force
Filing Date 2023-01-19
First Publication Date 2023-05-18
Grant Date 2024-05-07
Owner INDIGO AG, INC. (USA)
Inventor
  • Melaas, Eli Kellen
  • Braswell, Bobby Harold
  • Bolton, Douglas Kane

Abstract

This invention relates to methods for determining adoption and impact of regenerative farming practices. Embodiments of these methods, take satellite imagery and weather data as inputs, process those data according to methods of the present invention, and produce outputs which indicate whether a specific farming practice (for example, no-till or cover cropping) was adopted for a particular field or region for a particular season.

IPC Classes  ?

38.

Addressing incomplete soil sample data in soil enrichment protocol projects

      
Application Number 18066477
Grant Number 11946922
Status In Force
Filing Date 2022-12-15
First Publication Date 2023-05-11
Grant Date 2024-04-02
Owner INDIGO AG, INC. (USA)
Inventor
  • Segal, Brian
  • Brummitt, Charles David

Abstract

In various embodiments, methods, systems, and computer program products are provided for estimating greenhouse gas emissions. In particular, methods, systems, and computer program products are presented for the task of quantifying emissions reduction from changes in stocks of soil organic carbon (SOC). The methods apply more generally to tasks that involve quantification of a total or average across a population of land (and/or possibly any space and any time) using measurements at a sample from that population. The sample may not be representative or unbiased. In some examples, estimating greenhouse gas emissions may apply to quantifying the total stock of SOC in land, the total nitrous oxide emissions in land and a time interval.

IPC Classes  ?

39.

SYSTEMS FOR DISTRIBUTED ORDER PROCESSING

      
Application Number US2022047390
Publication Number 2023/081024
Status In Force
Filing Date 2022-10-21
Publication Date 2023-05-11
Owner INDIGO AG, INC. (USA)
Inventor
  • Koenigsknecht, Ian
  • Leon, Aumit, Hasan
  • Lee, Tze, Tsun Justin
  • Griisser, Matthew, Donovan

Abstract

Systems, methods, and computer program products for distributed order processing are provided. A request for a price quote for a tradable asset is sent to a pricing server. The request includes user metadata including a user identifier and asset metadata including an asset identifier. A price quote with associated price metadata is received from the pricing server based on the asset metadata. A digest is generated from the price, user, and asset metadata and is verifiable with a cryptographic key. The price, user, and asset metadata are combined with the digest, thereby generating a verifiable transaction initiation object. The initiation object is provided to a user for provision to a transaction server for execution. A request to authenticate the initiation object is received from the transaction server. An approval to execute the initiation object is sent to the transaction server without reference to the pricing server.

IPC Classes  ?

  • G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange
  • G06Q 30/06 - Buying, selling or leasing transactions
  • G06Q 20/38 - Payment protocolsDetails thereof
  • G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
  • G06Q 30/02 - MarketingPrice estimation or determinationFundraising
  • H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols

40.

Dynamic data tiling

      
Application Number 18051789
Grant Number 12198237
Status In Force
Filing Date 2022-11-01
First Publication Date 2023-03-23
Grant Date 2025-01-14
Owner INDIGO AG, INC. (USA)
Inventor
  • Holden, Christopher Edward
  • Ma, Keith Frederick
  • Mcdonald, Jacob Samuel

Abstract

Dynamic data tiling is provided. In various embodiments, a request is received for a tile of geographic data from a requestor. The request specifies a region relative to a projection. The region is looked up in a spatial index to determine one or more source tiles. The spatial index corresponds to the projection and the one or more source tiles intersecting the region. The one or more source tiles are requested from a proxy. The proxy is configured to maintain one or more persistent connections to one or more datastores and to retrieve the one or more source tiles via the one or more persistent connections. The one or more source tiles is received from the proxy. The requested tile of geographic data is constructed from the one or more source tiles. The requested tile of geographic data is provided to the requestor.

IPC Classes  ?

  • G06T 11/40 - Filling a planar surface by adding surface attributes, e.g. colour or texture
  • G06F 16/587 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location

41.

Systems and methods for ecosystem credit recommendations

      
Application Number 17900428
Grant Number 11880894
Status In Force
Filing Date 2022-08-31
First Publication Date 2023-03-16
Grant Date 2024-01-23
Owner INDIGO AG, INC. (USA)
Inventor
  • Campbell, Eleanor Elizabeth
  • Mcdonald, Jacob S.
  • Goodman, Aaron J.
  • Salib, Michael J.
  • Baldo, Elisabeth F.
  • Ma, Keith F.
  • Stack, Daniel Michael
  • Treischman, Erich J.
  • Motew, Melissa
  • Peters, Samuel J.
  • Black, Christopher K.
  • Gurung, Ram B.
  • Brummitt, Charles D.
  • Segal, Brian D.
  • Smart, David P.
  • Kumar, Ashok A.
  • Rogers, Barclay Rowland
  • Belousova, Maria
  • Shankar, Jyoti
  • Harbourt, Christopher Mark
  • Hovsepian, Ronald W.
  • Menipaz, Amit R.
  • Weeks, Joseph
  • Horvath, Samantha

Abstract

Systems, methods, and computer program products for recommending ecosystem credit tokens based on modelled outcomes are provided. In various embodiments, field data comprising geospatial boundaries of one or more field are received. One or more methodology is accessed. For each of the one or more fields, one or more farming practice is accessed, wherein each farming practice comprises a location and time. For each of the one or more fields, for each crop production period, an ecosystem attribute is generated by applying one or more ecosystem attribute quantification methods to each spatially and temporally unique set of one or more farming practices. Selection of one or more program is optimized for each field based on the set of selected programs being compatible within the field and production period.

IPC Classes  ?

42.

SYSTEMS FOR MANAGEMENT OF LOCATION-AWARE MARKET DATA

      
Application Number US2022041518
Publication Number 2023/034118
Status In Force
Filing Date 2022-08-25
Publication Date 2023-03-09
Owner INDIGO AG, INC. (USA)
Inventor
  • Tubilla, Fernando
  • Malizia, Nicholas

Abstract

A method of generating a visualization of location-dependent values is provided where a plurality of bids and a plurality of supply locations are received from at least one datastore. Each of the plurality of bids has an associated location. A first geographic location is selected from the plurality of supply locations. A sorted collection of location dependent values is generated. Each of the location dependent values is determined from one of the plurality of bids. A map of the collection of location dependent values is output.

IPC Classes  ?

  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
  • G06F 16/22 - IndexingData structures thereforStorage structures
  • G06F 16/29 - Geographical information databases
  • G01C 21/00 - NavigationNavigational instruments not provided for in groups

43.

SYSTEMS AND METHODS FOR ECOSYSTEM CREDIT RECOMMENDATIONS

      
Document Number 03230474
Status Pending
Filing Date 2022-08-31
Open to Public Date 2023-03-09
Owner INDIGO AG, INC. (USA)
Inventor
  • Campbell, Eleanor Elizabeth
  • Mcdonald, Jacob S.
  • Goodman, Aaron J.
  • Salib, Michael J.
  • Baldo, Elisabeth F.
  • Ma, Keith F.
  • Stack, Daniel Michael
  • Treischman, Erich J.
  • Motew, Melissa
  • Peters, Samuel J.
  • Black, Christopher K.
  • Gurung, Ram B.
  • Brummitt, Charles D.
  • Segal, Brian D.
  • Smart, David P.
  • Kumar, Ashok A.
  • Rogers, Barclay Rowland
  • Belousova, Maria
  • Shankar, Jyoti
  • Harbourt, Christopher Mark
  • Hovsepian, Ronald W.
  • Menipaz, Amit R.
  • Weeks, Joseph
  • Horvath, Samantha

Abstract

Systems, methods, and computer program products for recommending ecosystem credit tokens based on modelled outcomes are provided. In various embodiments, field data comprising geospatial boundaries of one or more field are received. One or more methodology is accessed. For each of the one or more fields, one or more farming practice is accessed, wherein each farming practice comprises a location and time. For each of the one or more fields, for each crop production period, an ecosystem attribute is generated by applying one or more ecosystem attribute quantification methods to each spatially and temporally unique set of one or more farming practices. Selection of one or more program is optimized for each field based on the set of selected programs being compatible within the field and production period.

IPC Classes  ?

  • G06Q 20/36 - Payment architectures, schemes or protocols characterised by the use of specific devices using electronic wallets or electronic money safes
  • G06T 17/05 - Geographic models
  • G06V 20/10 - Terrestrial scenes

44.

SYSTEMS AND METHODS FOR ECOSYSTEM CREDIT RECOMMENDATIONS

      
Application Number US2022042164
Publication Number 2023/034386
Status In Force
Filing Date 2022-08-31
Publication Date 2023-03-09
Owner INDIGO AG, INC. (USA)
Inventor
  • Campbell, Eleanor, Elizabeth
  • Mcdonald, Jacob, S.
  • Goodman, Aaron, J.
  • Salib, Michael, J.
  • Baldo, Elisabeth, F.
  • Ma, Keith, F.
  • Stack, Daniel, Michael
  • Treischman, Erich, J.
  • Motew, Melissa
  • Peters, Samuel, J.
  • Black, Christopher, K.
  • Gurung, Ram, B.
  • Brummitt, Charles, D.
  • Segal, Brian, D.
  • Smart, David, P.
  • Kumar, Ashok, A.
  • Rogers, Barclay, Rowland
  • Belousova, Maria
  • Shankar, Jyoti
  • Harbourt, Christopher Mark
  • Hovsepian, Ronald W.
  • Menipaz, Amit R.
  • Weeks, Joseph

Abstract

Systems, methods, and computer program products for recommending ecosystem credit tokens based on modelled outcomes are provided. In various embodiments, field data comprising geospatial boundaries of one or more field are received. One or more methodology is accessed. For each of the one or more fields, one or more farming practice is accessed, wherein each farming practice comprises a location and time. For each of the one or more fields, for each crop production period, an ecosystem attribute is generated by applying one or more ecosystem attribute quantification methods to each spatially and temporally unique set of one or more farming practices. Selection of one or more program is optimized for each field based on the set of selected programs being compatible within the field and production period.

IPC Classes  ?

  • G06Q 20/36 - Payment architectures, schemes or protocols characterised by the use of specific devices using electronic wallets or electronic money safes
  • G06V 20/10 - Terrestrial scenes
  • G06T 17/05 - Geographic models

45.

Addressing incomplete soil sample data in soil enrichment protocol projects

      
Application Number 17724912
Grant Number 11592431
Status In Force
Filing Date 2022-04-20
First Publication Date 2022-11-17
Grant Date 2023-02-28
Owner Indigo Ag, Inc. (USA)
Inventor
  • Segal, Brian
  • Brummitt, Charles David

Abstract

In various embodiments, methods, systems, and computer program products are provided for estimating greenhouse gas emissions. In particular, methods, systems, and computer program products are presented for the task of quantifying emissions reduction from changes in stocks of soil organic carbon (SOC). The methods apply more generally to tasks that involve quantification of a total or average across a population of land (and/or possibly any space and any time) using measurements at a sample from that population. The sample may not be representative or unbiased. In some examples, estimating greenhouse gas emissions may apply to quantifying the total stock of SOC in land, the total nitrous oxide emissions in land and a time interval.

IPC Classes  ?

46.

ADDRESSING INCOMPLETE SOIL SAMPLE DATA IN SOIL ENRICHMENT PROTOCOL PROJECTS

      
Document Number 03212719
Status Pending
Filing Date 2022-04-20
Open to Public Date 2022-10-27
Owner INDIGO AG, INC. (USA)
Inventor
  • Segal, Brian
  • Brummitt, Charles David

Abstract

In various embodiments, methods, systems, and computer program products are provided for estimating greenhouse gas emissions. In particular, methods, systems, and computer program products are presented for the task of quantifying emissions reduction from changes in stocks of soil organic carbon (SOC). The methods apply more generally to tasks that involve quantification of a total or average across a population of land (and/or possibly any space and any time) using measurements at a sample from that population. The sample may not be representative or unbiased. In some examples, estimating greenhouse gas emissions may apply to quantifying the total stock of SOC in land, the total nitrous oxide emissions in land and a time interval.

IPC Classes  ?

  • G01N 33/24 - Earth materials
  • G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling

47.

ADDRESSING INCOMPLETE SOIL SAMPLE DATA IN SOIL ENRICHMENT PROTOCOL PROJECTS

      
Application Number US2022025478
Publication Number 2022/226023
Status In Force
Filing Date 2022-04-20
Publication Date 2022-10-27
Owner INDIGO AG, INC. (USA)
Inventor
  • Segal, Brian
  • Brummitt, Charles David

Abstract

In various embodiments, methods, systems, and computer program products are provided for estimating greenhouse gas emissions. In particular, methods, systems, and computer program products are presented for the task of quantifying emissions reduction from changes in stocks of soil organic carbon (SOC). The methods apply more generally to tasks that involve quantification of a total or average across a population of land (and/or possibly any space and any time) using measurements at a sample from that population. The sample may not be representative or unbiased. In some examples, estimating greenhouse gas emissions may apply to quantifying the total stock of SOC in land, the total nitrous oxide emissions in land and a time interval.

IPC Classes  ?

  • G01N 33/24 - Earth materials
  • G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling

48.

ENDOPHYTE COMPOSITIONS AND METHODS FOR IMPROVED PLANT HEALTH

      
Application Number US2022026051
Publication Number 2022/226376
Status In Force
Filing Date 2022-04-22
Publication Date 2022-10-27
Owner INDIGO AG, INC. (USA)
Inventor
  • Hubert, David A.
  • Satinsky, Brandon M.
  • Basu, Shib

Abstract

This invention relates to compositions and methods for improving plant health, wherein a plant is heterologously disposed to one or more endophytes, or derived from a plant element heterologously disposed to one or more endophytes.

IPC Classes  ?

49.

Modulated nutritional quality traits in seeds

      
Application Number 17512034
Grant Number 11766045
Status In Force
Filing Date 2021-10-27
First Publication Date 2022-09-29
Grant Date 2023-09-26
Owner Indigo Ag, Inc. (USA)
Inventor
  • Riley, Raymond
  • Djonovic, Slavica
  • Vosnidou, Nancy
  • Bitas, Vasileios

Abstract

This invention relates to methods and materials for modulating seed nutritional quality traits of seeds produced by a wheat, cotton, soybean, or maize plant, said plant having been heterologously disposed to, or grown from, a plant element treated with an endophyte.

IPC Classes  ?

  • C12N 15/82 - Vectors or expression systems specially adapted for eukaryotic hosts for plant cells
  • A01N 63/30 - Microbial fungiSubstances produced thereby or obtained therefrom
  • A01H 17/00 - Symbiotic or parasitic combinations including one or more new plants, e.g. mycorrhiza
  • A01H 5/10 - Seeds
  • A01H 3/00 - Processes for modifying phenotypes

50.

CROP YIELD FORECASTING MODELS

      
Application Number 17625287
Status Pending
Filing Date 2020-07-08
First Publication Date 2022-08-18
Owner Indigo Ag, Inc. (USA)
Inventor
  • Malizia, Nicholas
  • Xu, Ying
  • Bechtel, Jonathon
  • Friedl, Mark

Abstract

Methods of and computer program products for predicting crop yield of a geographic region are provided. In various embodiments, a time series of satellite imagery is received. The time series of satellite imagery covers at least the geographic region during a predetermined time period. The predetermined time period comprises one or more phenology periods. A time series of weather data is received. The time series of weather data covers at least the geographic region during the predetermined time period. At least one surface feature of the geographic region during each of the one or more phenology periods is generated from the time series of satellite imagery. At least one weather feature of the geographic region during each of the one or more phenology periods is generated from the time series of weather data. The at least one surface feature and the at least one weather feature are provided to a trained model. A prediction of crop yield for the geographical region is received from the trained model.

IPC Classes  ?

  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06V 20/13 - Satellite images
  • G06V 20/10 - Terrestrial scenes
  • G06V 10/62 - Extraction of image or video features relating to a temporal dimension, e.g. time-based feature extractionPattern tracking
  • G06N 20/20 - Ensemble learning
  • G06N 5/00 - Computing arrangements using knowledge-based models

51.

Methods of use of seed-origin endophyte populations

      
Application Number 17493779
Grant Number 11793202
Status In Force
Filing Date 2021-10-04
First Publication Date 2022-07-28
Grant Date 2023-10-24
Owner Indigo Ag, Inc. (USA)
Inventor
  • Von Maltzahn, Geoffrey
  • Flavell, Richard Bailey
  • Toledo, Gerardo V.
  • Djonovic, Slavica
  • Marquez, Luis Miguel
  • Johnston, David Morris
  • Millet, Yves Alain
  • Lyford, Jeffrey
  • Naydich, Alexander
  • Sadowski, Craig

Abstract

This application relates to methods and materials for providing a benefit to a seed or seedling of an agricultural plant (e.g., an agricultural grass plant), or the agricultural plant derived from the seed or seedling. For example, this application provides purified bacterial populations that include novel seed-origin bacterial endophytes, and synthetic combinations of seeds and/or seedlings (e.g., cereal seeds and/or seedlings) with heterologous seed-derived bacterial endophytes.

IPC Classes  ?

  • A01N 63/20 - BacteriaSubstances produced thereby or obtained therefrom
  • A01C 1/06 - Coating or dressing seed
  • G01N 33/50 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing
  • A01C 1/00 - Apparatus, or methods of use thereof, for testing or treating seed, roots, or the like, prior to sowing or planting

52.

IMPUTATION OF REMOTE SENSING TIME SERIES FOR LOW-LATENCY AGRICULTURAL APPLICATIONS

      
Application Number 17704622
Status Pending
Filing Date 2022-03-25
First Publication Date 2022-07-07
Owner Indigo Ag, Inc. (USA)
Inventor
  • Melaas, Eli Kellen
  • Baldo, Elisabeth Florence Ilona
  • Braswell, Bobby Harold

Abstract

Imputation of remote sensing time series for low-latency agricultural applications is provided. In various embodiments, a first time series of raster data is read. The first time series spans a geographic region and has a first resolution and a first frequency. A second time series of raster data is read. The second time series spans the geographic region and has a second resolution and a second frequency. The second resolution is lower than the first resolution. The second frequency is higher than the first frequency. A mean time series is determined from the first time series of raster data. A predicted time series of values for a location within the geographic region is determined at the first resolution by determining a first time series of values for the location from the first time series of raster data, determining a second time series of values of the location from the second time series of raster data, and determining the predicted time series by multiple linear regression with the first time series dependent on the mean time series and the second time series.

IPC Classes  ?

  • G06V 20/10 - Terrestrial scenes
  • G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting
  • A01B 79/00 - Methods for working soil

53.

Modeling field irrigation with remote sensing imagery

      
Application Number 17704773
Grant Number 11755966
Status In Force
Filing Date 2022-03-25
First Publication Date 2022-07-07
Grant Date 2023-09-12
Owner Indigo Ag, Inc. (USA)
Inventor Baldo, Elisabeth Florence Ilona

Abstract

Detection of field irrigation through remote sensing is provided. In various embodiments, at least one time series of index rasters for a geographic region is read. A time series of weather data for the geographic region is read. The at least one time series of index rasters and the time series of weather data are divided into a plurality of time windows. The at least one time series of index rasters is composited within each of the plurality of time windows, yielding a composite index raster for each of the at least one time series of index rasters in each of the plurality of time windows. The time series of weather data is composited within each of the plurality of time windows, yielding composite weather data in each of the plurality of time windows. The composite index rasters and composite weather data are provided to a trained classifier. A pixel irrigation label for each pixel of the composite index rasters is obtained therefrom. Each pixel irrigation label indicates the presence or absence of irrigation at the associated pixel.

IPC Classes  ?

  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
  • G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
  • G06V 20/10 - Terrestrial scenes
  • A01G 25/16 - Control of watering
  • G06Q 50/02 - AgricultureFishingForestryMining

54.

INTERVENTION AND FIELD CHARACTERISTIC MACHINE-LEARNED MODELING

      
Application Number US2021064200
Publication Number 2022/140201
Status In Force
Filing Date 2021-12-17
Publication Date 2022-06-30
Owner INDIGO AG, INC. (USA)
Inventor
  • Xu, Ying
  • Winston, Max, E.
  • Wang, Ching-Hao
  • Wang, Huan
  • Xu, Sharon

Abstract

One or more fields can be divided into portions, and different sets of interventions can be performed during the course of planting and growing a crop in each field portion. The effect of each set of interventions on the crop outcome of the corresponding field portion can be determined using a best performing model of a set of predictive models applied to the set of interventions. The selected model can be used to determine an effect of each intervention on crop outcome of a field portion by estimating a portion of the crop outcome attributable to the intervention. A machine-learned model can be trained based on the effect each intervention has on crop outcome determined by the selected model, and the machine-learned model can be applied to subsequent fields and crops to predict effects that various interventions can have on subsequent crop outcomes.

IPC Classes  ?

55.

Imagery-based boundary identification for agricultural fields

      
Application Number 17681126
Grant Number 12165222
Status In Force
Filing Date 2022-02-25
First Publication Date 2022-06-09
Grant Date 2024-12-10
Owner INDIGO AG, INC. (USA)
Inventor
  • Braswell, Bobby Harold
  • Cormier, Tina A.
  • Sulla-Menashe, Damien
  • Ma, Keith Frederick

Abstract

Imagery-based boundary identification for agricultural fields is provided. In various embodiments, a time series of surface reflectance rasters for a geographic region is received. For each of the surface reflectance rasters, at least one index raster is determined, yielding at least one time series of index rasters. The at least one time series of index rasters is divided into a plurality of consecutive time windows. The at least one time series of index rasters is composited within each of the plurality of time windows, yielding a composite index raster for each of the at least one time series of index rasters in each of the plurality of time windows. The composite index rasters are segmented into a plurality of spatially compact regions of the geographic region. A plurality of polygons is generated from the plurality of spatially compact regions, each of the plurality of polygons corresponding to an agricultural field in the geographic region.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06T 5/70 - DenoisingSmoothing
  • G06T 7/11 - Region-based segmentation
  • G06T 7/13 - Edge detection
  • G06T 7/162 - SegmentationEdge detection involving graph-based methods
  • G06V 10/26 - Segmentation of patterns in the image fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection of occlusion
  • G06V 10/30 - Noise filtering
  • G06V 10/32 - Normalisation of the pattern dimensions
  • G06V 10/34 - Smoothing or thinning of the patternMorphological operationsSkeletonisation
  • G06V 10/60 - Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
  • G06V 20/10 - Terrestrial scenes

56.

Isolated complex endophyte compositions and methods for improved plant traits

      
Application Number 17348189
Grant Number 11751571
Status In Force
Filing Date 2021-06-15
First Publication Date 2022-05-12
Grant Date 2023-09-12
Owner Indigo Ag, Inc. (USA)
Inventor
  • Ambrose, Karen V.
  • Boghigian, Brett A.
  • Djonovic, Slavica
  • Gray, Paul Andrew
  • Toldedo, Gerardo V.
  • Marquez, Luis Miguel
  • Von Maltzahn, Geoffrey

Abstract

This invention relates to methods and materials for providing a benefit to a plant by associating the plant with a complex endophyte comprising a host fungus further comprising a component bacterium, including benefits to a plant derived from a seed or other plant element treated with a complex endophyte. For example, this invention provides purified complex endophytes, purified complex endophyte components such as bacteria or fungi, synthetic combinations comprising said complex endophytes and/or components, and methods of making and using the same.

IPC Classes  ?

  • C07H 21/04 - Compounds containing two or more mononucleotide units having separate phosphate or polyphosphate groups linked by saccharide radicals of nucleoside groups, e.g. nucleic acids with deoxyribosyl as saccharide radical
  • A01N 63/00 - Biocides, pest repellants or attractants, or plant growth regulators containing microorganisms, viruses, microbial fungi, animals or substances produced by, or obtained from, microorganisms, viruses, microbial fungi or animals, e.g. enzymes or fermentates
  • A01G 22/00 - Cultivation of specific crops or plants not otherwise provided for
  • A01N 63/30 - Microbial fungiSubstances produced thereby or obtained therefrom
  • A01N 63/20 - BacteriaSubstances produced thereby or obtained therefrom
  • A01G 22/05 - Fruit crops, e.g. strawberries, tomatoes or cucumbers
  • A01G 22/15 - Leaf crops, e.g. lettuce or spinach
  • A01G 22/20 - Cereals
  • A01G 22/25 - Root crops, e.g. potatoes, yams, beet or wasabi
  • A01G 22/35 - BulbsAlliums, e.g. onions or leeks
  • A01G 22/40 - Fabaceae, e.g. beans or peas
  • A01G 22/50 - Cotton
  • A01G 22/55 - Sugar cane
  • A01G 22/60 - FlowersOrnamental plants
  • A01G 22/10 - Asparagus
  • A01G 22/22 - Rice

57.

SATELLITE-BASED AGRICULTURAL MODELING

      
Application Number 17504310
Status Pending
Filing Date 2021-10-18
First Publication Date 2022-02-03
Owner Indigo Ag, Inc. (USA)
Inventor
  • Perry, David Patrick
  • Knight, Barry Loyd
  • Jeck, Eric Michael
  • Raymond, Rachel Ariel
  • Rajdev, Neal Hitesh
  • Von Maltzahn, Geoffrey Albert
  • Berendes, Robert
  • Post, Nathan
  • Hennek, Jonathan
  • Mullins, Ean Shaughnessy Wahl

Abstract

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

IPC Classes  ?

  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
  • G06Q 30/02 - MarketingPrice estimation or determinationFundraising
  • G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
  • G06Q 10/08 - Logistics, e.g. warehousing, loading or distributionInventory or stock management
  • G06Q 30/06 - Buying, selling or leasing transactions
  • G01W 1/10 - Devices for predicting weather conditions
  • G05D 1/02 - Control of position or course in two dimensions
  • G08G 1/0968 - Systems involving transmission of navigation instructions to the vehicle
  • G06N 20/00 - Machine learning
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06F 9/451 - Execution arrangements for user interfaces
  • G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange

58.

REMOTE SENSING ALGORITHMS FOR MAPPING REGENERATIVE AGRICULTURE

      
Document Number 03186476
Status Pending
Filing Date 2021-07-21
Open to Public Date 2022-01-27
Owner INDIGO AG, INC. (USA)
Inventor
  • Melaas, Eli Kellen
  • Braswell, Bobby Harold
  • Bolton, Douglas Kane

Abstract

This invention relates to methods for determining adoption and impact of regenerative farming practices. Embodiments of these methods, take satellite imagery and weather data as inputs, process those data according to methods of the present invention, and produce outputs which indicate whether a specific farming practice (for example, no-till or cover cropping) was adopted for a particular field or region for a particular season.

IPC Classes  ?

  • A01B 79/02 - Methods for working soil combined with other agricultural processing, e.g. fertilising, planting
  • G06Q 50/02 - AgricultureFishingForestryMining

59.

REMOTE SENSING ALGORITHMS FOR MAPPING REGENERATIVE AGRICULTURE

      
Application Number US2021042542
Publication Number 2022/020448
Status In Force
Filing Date 2021-07-21
Publication Date 2022-01-27
Owner INDIGO AG, INC. (USA)
Inventor
  • Melaas, Eli, Kellen
  • Braswell, Bobby, Harold
  • Bolton, Douglas, Kane

Abstract

This invention relates to methods for determining adoption and impact of regenerative farming practices. Embodiments of these methods, take satellite imagery and weather data as inputs, process those data according to methods of the present invention, and produce outputs which indicate whether a specific farming practice (for example, no-till or cover cropping) was adopted for a particular field or region for a particular season.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • A01B 79/02 - Methods for working soil combined with other agricultural processing, e.g. fertilising, planting
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06Q 50/02 - AgricultureFishingForestryMining

60.

Interaction management in an online agricultural system

      
Application Number 17468280
Grant Number 11915329
Status In Force
Filing Date 2021-09-07
First Publication Date 2021-12-30
Grant Date 2024-02-27
Owner INDIGO AG, INC. (USA)
Inventor
  • Perry, David Patrick
  • Knight, Barry Loyd
  • Jeck, Eric Michael
  • Raymond, Rachel Ariel
  • Rajdev, Neal Hitesh
  • Von Maltzahn, Geoffrey Albert
  • Berendes, Robert
  • Post, Nathan
  • Sheets-Poling, Philip Gabriel
  • Connor, Rodney
  • Hennek, Jonathan
  • Mullins, Ean Shaughnessy Wahl

Abstract

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

IPC Classes  ?

  • G06Q 10/00 - AdministrationManagement
  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
  • G06Q 30/0202 - Market predictions or forecasting for commercial activities
  • G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
  • G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
  • G06Q 30/0601 - Electronic shopping [e-shopping]
  • G01W 1/10 - Devices for predicting weather conditions
  • G06Q 10/0832 - Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
  • G06Q 10/0833 - Tracking
  • G06Q 10/0835 - Relationships between shipper or supplier and carriers
  • G08G 1/0968 - Systems involving transmission of navigation instructions to the vehicle
  • G06Q 10/0834 - Choice of carriers
  • G06Q 10/0836 - Recipient pick-ups
  • G06Q 30/0201 - Market modellingMarket analysisCollecting market data
  • G06N 20/00 - Machine learning
  • G06F 9/451 - Execution arrangements for user interfaces
  • G06Q 30/0283 - Price estimation or determination
  • G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange
  • G06V 20/10 - Terrestrial scenes
  • G05D 1/00 - Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
  • G06Q 50/30 - Transportation; Communications
  • G16Y 10/05 - Agriculture

61.

MARKET+

      
Serial Number 97976672
Status Registered
Filing Date 2021-12-06
Registration Date 2023-12-05
Owner Indigo Ag, Inc. ()
NICE Classes  ?
  • 35 - Advertising and business services
  • 39 - Transport, packaging, storage and travel services
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

monitoring for business purposes to ascertain the geographic locations of movable objects, namely, freight, agricultural goods, and bulk commodities; provision of business information, business advice and business consultancy in relation to carbon dioxide offsets and greenhouse gas emissions; business consulting services in the field of agricultural technology; business consulting services in the field of environmental technology; marketing consulting services for creating workflows to meet agricultural crop marketing objectives providing information related to the transportation of freight, agricultural goods, and bulk commodities; providing information regarding freight forwarding rates providing online, non-downloadable software for collection of data regarding carbon and greenhouse gas offsets, and agricultural crops; provision of information, advice, and consultancy in relation to measurement and verification of offsetting of carbon dioxide and greenhouse gas emissions; technology consulting services pertaining to agricultural technology; technology consulting services pertaining to environmental technology; providing online, non-downloadable software for collecting, calibrating, cleaning, analyzing, and displaying data from farm equipment and remote sensing devices in the field of agriculture; providing online, non-downloadable software for monitoring agricultural crops for compliance with sustainability goals; providing online, non-downloadable software for supply chain management in the field of agriculture; providing online, non-downloadable software and mobile applications for supply chain visualization, tracing and tracking in the field of agriculture; providing online, non-downloadable software for providing consulting in the field of agriculture; data automation and collection service using proprietary software to evaluate, analyze and collect farming data; computer services in the nature of customized web pages featuring user-defined information; providing geospatial analysis, namely, mapping services and mapping analysis in the field of agriculture; providing information in the field of mapping services and mapping analysis in the field of agriculture; monitoring of agricultural technologies and agricultural yields for scientific research purposes; scientific data analysis in the field of agriculture; data-acquisition and collection for calibration purposes; data acquisition and collection for validation purposes in the field of measurements of carbon dioxide and other greenhouse gas emission offsets; data automation and collection service using proprietary software to evaluate, analyze and collect agronomic and environmental data; on-line web site featuring technology that enables the management of environmental program compliance by providing reports and recommendations based on data provided by users; providing online, non-downloadable software for identifying the supply of freight, agricultural goods, and bulk commodities available for shipping or purchase; providing online, non-downloadable software for connecting users to searchable databases of information and data related to freight, agricultural goods, and bulk commodities, namely, transactional data, market data, scale tickets, location, and prices; providing online, non-downloadable software for analyzing and displaying electronic tracking and monitoring of agricultural products, namely, measurement of environmental conditions, geolocation, weather conditions, and market conditions; providing online, non-downloadable software for marketing agricultural goods and environmental credits via an online marketplace; providing online, non-downloadable software for accessing an online marketplace for agricultural goods; providing online, non-downloadable software for accessing an online marketplace for environmental credits; providing online, non-downloadable software for estimating, submitting and tracking payments for agricultural products; providing online, non-downloadable software for estimating, submitting, and tracking payments for environmental credits; providing online, non-downloadable software for monitoring resource utilization in the field of agriculture; providing online, non-downloadable software for enabling buyers and sellers to contract directly using customized pricing capabilities; providing monitoring of freight, agricultural goods, and bulk commodities for quality control purposes agricultural advice; agricultural advice relating to regenerative farming practices; providing an online searchable database featuring information in the field of agriculture, namely, the conservation of environmental resources through agricultural processes; agronomic consulting services relating to creating and providing agronomic technology workflows for meeting agricultural sustainability objectives; consulting services in the fields of agriculture and agronomy, namely, providing farming practice, and crop recommendations

62.

Miscellaneous Design

      
Serial Number 97976673
Status Registered
Filing Date 2021-12-06
Registration Date 2023-12-05
Owner Indigo Ag, Inc. ()
NICE Classes  ?
  • 35 - Advertising and business services
  • 36 - Financial, insurance and real estate services
  • 39 - Transport, packaging, storage and travel services
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

monitoring for business purposes to ascertain the geographic locations of movable objects, namely, freight, agricultural goods, and bulk commodities; provision of business information, business advice and business consultancy in relation to carbon dioxide offsets and greenhouse gas emissions; business consulting services in the field of agricultural technology; business consulting services in the field of environmental technology; marketing consulting services for creating workflows to meet agricultural crop marketing objectives brokerage services relating to buying and selling opportunities in the field of agricultural crops; brokerage of environmental credits, namely, credits for carbon sequestration, nitrogen-run off reduction and other environmental conservation practices; brokerage of greenhouse gas offsets arranging transportation of freight, agricultural goods, and bulk commodities; freight brokerage; providing information related to the transportation of freight, agricultural goods, and bulk commodities; freight forwarding; providing information regarding freight forwarding rates providing online, non-downloadable software for collection of data regarding carbon and greenhouse gas offsets, and agricultural crops; provision of information, advice, and consultancy in relation to measurement and verification of offsetting of carbon dioxide and greenhouse gas emissions; technology consulting services pertaining to agricultural technology; technology consulting services pertaining to environmental technology; providing online, non-downloadable software for collecting, calibrating, cleaning, analyzing, and displaying data from farm equipment and remote sensing devices in the field of agriculture; providing online, non-downloadable software for monitoring agricultural crops for compliance with sustainability goals; providing online, non-downloadable software for supply chain management in the field of agriculture; providing online, non-downloadable software and mobile applications for supply chain visualization, tracing and tracking in the field of agriculture; providing online, non-downloadable software for providing consulting in the field of agriculture; data automation and collection service using proprietary software to evaluate, analyze and collect farming data; computer services in the nature of customized web pages featuring user-defined information; providing geospatial analysis, namely, mapping services and mapping analysis in the field of agriculture; providing information in the field of mapping services and mapping analysis in the field of agriculture; monitoring of agricultural technologies and agricultural yields for scientific research purposes; scientific data analysis in the field of agriculture; data-acquisition and collection for calibration purposes; data acquisition and collection for validation purposes in the field of measurements of carbon dioxide and other greenhouse gas emission offsets; data automation and collection service using proprietary software to evaluate, analyze and collect agronomic and environmental data; on-line web site featuring technology that enables the management of environmental program compliance by providing reports and recommendations based on data provided by users; providing online, non-downloadable software for identifying the supply of freight, agricultural goods, and bulk commodities available for shipping or purchase; providing online, non-downloadable software for connecting users to searchable databases of information and data related to freight, agricultural goods, and bulk commodities, namely, transactional data, market data, scale tickets, location, and prices; providing online, non-downloadable software for analyzing and displaying electronic tracking and monitoring of agricultural products, namely, measurement of environmental conditions, geolocation, weather conditions, and market conditions; providing online, non-downloadable software for marketing agricultural goods and environmental credits via an online marketplace; providing online, non-downloadable software for accessing an online marketplace for agricultural goods; providing online, non-downloadable software for accessing an online marketplace for environmental credits; providing online, non-downloadable software for estimating, submitting and tracking payments for agricultural products; providing online, non-downloadable software for estimating, submitting, and tracking payments for environmental credits; providing online, non-downloadable software for monitoring resource utilization in the field of agriculture; providing online, non-downloadable software for enabling buyers and sellers to contract directly using customized pricing capabilities; providing monitoring of freight, agricultural goods, and bulk commodities for quality control purposes agricultural advice; agricultural advice relating to regenerative farming practices; providing an online searchable database featuring information in the field of agriculture, namely, the conservation of environmental resources through agricultural processes; agronomic consulting services relating to creating and providing agronomic technology workflows for meeting agricultural sustainability objectives; consulting services in the fields of agriculture and agronomy, namely, providing farming practice, and crop recommendations

63.

Agricultural endophyte-plant compositions, and methods of use

      
Application Number 17138109
Grant Number 11754553
Status In Force
Filing Date 2020-12-30
First Publication Date 2021-12-02
Grant Date 2023-09-12
Owner Indigo Ag, Inc. (USA)
Inventor
  • Von Maltzahn, Geoffrey
  • Flavell, Richard Bailey
  • Toledo, Gerardo V.
  • Jack, Allison
  • Johnston, David Morris
  • Djonovic, Slavica
  • Marquez, Luis Miguel
  • Millet, Yves Alain
  • Sadowski, Craig
  • Lyford, Jeffrey
  • Naydich, Alexander

Abstract

Glycine plant), or the agricultural plant derived from the seed or seedling. For example, this application provides purified bacterial populations that include novel seed bacterial endophytes, and synthetic combinations of seeds and/or seedlings (e.g., cereal or soy seeds and/or cereal or soy seedlings) with heterologous seed-derived bacterial endophytes.

IPC Classes  ?

  • G01N 33/50 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing
  • A01N 63/20 - BacteriaSubstances produced thereby or obtained therefrom
  • A01C 1/06 - Coating or dressing seed
  • A01C 1/00 - Apparatus, or methods of use thereof, for testing or treating seed, roots, or the like, prior to sowing or planting

64.

Method for propagating microorganisms within plant bioreactors and stably storing microorganisms within agricultural seeds

      
Application Number 17124955
Grant Number 11753618
Status In Force
Filing Date 2020-12-17
First Publication Date 2021-11-25
Grant Date 2023-09-12
Owner
  • Indigo Ag, Inc. (USA)
  • AIT Austrian Institute of Technology GMBH (Austria)
Inventor
  • Mitter, Birgit
  • Naveed, Muhammad
  • Berninger, Teresa
  • Compant, Stephane
  • Sessitsch, Angela
  • Von Maltzahn, Geoffrey
  • Flavell, Richard Bailey
  • Toledo, Gerardo V.
  • Djonovic, Slavica
  • Marquez, Luis Miguel
  • Johnston, David Morris
  • Millet, Yves Alain
  • Lyford, Jeffrey
  • Leff, Jonathan W.
  • Samayoa, Phillip
  • Sadowski, Craig

Abstract

The present invention relates to methods of scalably producing microorganisms by propagating them within plant tissues and introducing them into agricultural seeds to improve their shelf-life during long-term storage, to produce substances of interest, and to create libraries of microbes.

IPC Classes  ?

  • C12N 1/20 - BacteriaCulture media therefor
  • A01H 5/00 - Angiosperms, i.e. flowering plants, characterised by their plant partsAngiosperms characterised otherwise than by their botanic taxonomy
  • G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
  • A01N 63/30 - Microbial fungiSubstances produced thereby or obtained therefrom
  • A01N 63/20 - BacteriaSubstances produced thereby or obtained therefrom

65.

CARBON

      
Application Number 018598733
Status Registered
Filing Date 2021-11-11
Registration Date 2022-05-04
Owner Indigo Ag, Inc (USA)
NICE Classes  ?
  • 35 - Advertising and business services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

marketing services, including marketing of agricultural goods and environmental credits through a marketplace via a website and downloadable mobile applications; operating an online marketplace featuring agricultural goods and environmental credits; association services, namely promoting the adoption and acceptance of agricultural standards for sequestration of carbon and other greenhouse gases; promoting voluntary common industry standards for sequestration of carbon and other greenhouse gases; price comparing services in the field of agricultural crops; provision of an online marketplace for buyers and sellers of carbon dioxide and other greenhouse gas credits, allowances or offsets; administration of a program enabling participants to obtain goods produced using regenerative agricultural practices; providing an incentive program for producers, brokers, sellers, and buyers of agricultural carbon credits; providing information about environmental incentive schemes via a website; business data analysis services, including data analysis and quantification of greenhouse gas emissions, development of natural climate solutions and agricultural carbon credit projects, and producing agriculture and nature based carbon credits; business consultancy and advisory services in the field of sequestration of carbon and other greenhouse gases, including providing business information pertaining to geological sequestration of carbon dioxide and other greenhouse gases; business research and information services relating to verification of regenerative farming practices. provision of scientific information, advice, and consultancy in relation to carbon offsetting, regenerative agricultural practices, and reduction of carbon and other greenhouse gas emissions; environmental consultation in the field of climate change and bio-diversity; research in the field of environmental protection; measurement and verification of carbon dioxide and other greenhouse gas emission offsets; measurement, analysis, and verification of soil carbon, carbon emissions and other greenhouse gas emissions; consulting services pertaining to the technology of agricultural sequestration of carbon and other greenhouse gases; software as a service (SaaS) services, namely, software for data collection and analysis relating to the sequestration of carbon and other greenhouse gases; software as a service (SaaS) services, namely, software for connecting users to databases of information and data related to soil carbon, carbon emissions and other greenhouse gas emissions; software as a service (SaaS) services, namely, software for collecting, calibrating, cleaning, analyzing, and displaying data from remote sensing equipment and devices in the field of agriculture; software as a service (SaaS) services, namely, software for tracking, monitoring, and certifying agricultural crops for compliance with sustainability goals; software as a service (SaaS) services, namely, software for data collection and estimating environmental impacts of agricultural practices; software as a service (SaaS) services, namely, monitoring, and verifying compliance with protocols for issuance of environmental conservation credits such as carbon credits; providing information about the environmental impact of farming practices via a website.

66.

DYNAMIC DATA TILING

      
Document Number 03177357
Status Pending
Filing Date 2021-04-30
Open to Public Date 2021-11-04
Owner INDIGO AG, INC. (USA)
Inventor
  • Holden, Christopher Edward
  • Ma, Keith Frederick
  • Mcdonald, Jacob Samuel

Abstract

Dynamic data tiling is provided. In various embodiments, a request is received for a tile of geographic data from a requestor. The request specifies a region relative to a projection. The region is looked up in a spatial index to determine one or more source tiles. The spatial index corresponds to the projection and the one or more source tiles intersecting the region, The one or more source tiles are requested from a proxy, The proxy is configured to maintain one or more persistent connections to one or more datastores and to retrieve the one or more source tiles via the one or more persistent connections. The one or more source tiles is received from the proxy. The requested tile of geographic data is constructed from the one or more source tiles. The requested tile of geographic data is provided to the requestor.

IPC Classes  ?

  • G09G 5/00 - Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators

67.

RATE CARD MANAGEMENT

      
Document Number 03177408
Status Pending
Filing Date 2021-04-30
Open to Public Date 2021-11-04
Owner INDIGO AG, INC. (USA)
Inventor
  • Menipaz, Amit
  • Tubilla, Fernando
  • Sidorsky, Misha
  • Hunter, John Richard
  • Klein, Kearney
  • Luther, Andrew A.
  • Kabrich, Nick
  • Conrad, Adam
  • Davis-Cooke, Jason
  • Pollard, Jordan Lee

Abstract

Computationally efficient management of location-dependent values, such as rate cards, is provided, for example in the context of transport and market systems. Traversing a ball tree comprises: computing a bound on the location-dependent value for at least one node of the ball tree based on its corresponding at least one local value, its pivot geographic location, and a first geographic location, selectively traversing at least one child of the at least one node according to the bound, computing the location-dependent value for the at least one child based on its corresponding at least one local value, its pivot geographic location, and the first geographic location, and inserting the location dependent value of the at least one child to a sorted collection having a predetermined size

IPC Classes  ?

  • G06Q 10/0835 - Relationships between shipper or supplier and carriers
  • G06Q 30/0283 - Price estimation or determination

68.

RATE CARD MANAGEMENT

      
Application Number US2021030243
Publication Number 2021/222795
Status In Force
Filing Date 2021-04-30
Publication Date 2021-11-04
Owner INDIGO AG, INC. (USA)
Inventor
  • Sidorsky, Misha
  • Hunter, John Richard
  • Klein, Kearney
  • Menipaz, Amil
  • Luther, Andrew A.
  • Kabrich, Nick
  • Conrad, Adam
  • Davis-Cooke, Jason
  • Kuri, Fernando Tubilla
  • Pollard, Jordan Lee

Abstract

Computationally efficient management of location-dependent values, such as rate cards, is provided, for example in the context of transport and market systems. Traversing a ball tree comprises: computing a bound on the location-dependent value for at least one node of the ball tree based on its corresponding at least one local value, its pivot geographic location, and a first geographic location, selectively traversing at least one child of the at least one node according to the bound, computing the location-dependent value for the at least one child based on its corresponding at least one local value, its pivot geographic location, and the first geographic location, and inserting the location dependent value of the at least one child to a sorted collection having a predetermined size

IPC Classes  ?

  • G06Q 10/00 - AdministrationManagement
  • G06F 17/30 - Information retrieval; Database structures therefor

69.

DYNAMIC DATA TILING

      
Application Number US2021030196
Publication Number 2021/222763
Status In Force
Filing Date 2021-04-30
Publication Date 2021-11-04
Owner INDIGO AG, INC. (USA)
Inventor
  • Holden, Christopher, Edward
  • Ma, Keith, Frederick
  • Mcdonald, Jacob, Samuel

Abstract

Dynamic data tiling is provided. In various embodiments, a request is received for a tile of geographic data from a requestor. The request specifies a region relative to a projection. The region is looked up in a spatial index to determine one or more source tiles. The spatial index corresponds to the projection and the one or more source tiles intersecting the region, The one or more source tiles are requested from a proxy, The proxy is configured to maintain one or more persistent connections to one or more datastores and to retrieve the one or more source tiles via the one or more persistent connections. The one or more source tiles is received from the proxy. The requested tile of geographic data is constructed from the one or more source tiles. The requested tile of geographic data is provided to the requestor.

IPC Classes  ?

  • G09G 5/00 - Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
  • H04L 29/06 - Communication control; Communication processing characterised by a protocol
  • H04L 29/08 - Transmission control procedure, e.g. data link level control procedure

70.

Machine learning in agricultural planting, growing, and harvesting contexts

      
Application Number 17198257
Grant Number 11776071
Status In Force
Filing Date 2021-03-11
First Publication Date 2021-07-22
Grant Date 2023-10-03
Owner INDIGO AG, INC. (USA)
Inventor
  • Perry, David Patrick
  • Von Maltzahn, Geoffrey Albert
  • Berendes, Robert
  • Jeck, Eric Michael
  • Knight, Barry Loyd
  • Raymond, Rachel Ariel
  • Trivisvavet, Ponsi
  • Wong, Justin Y H
  • Rajdev, Neal Hitesh
  • Meunier, Marc-Cedric Joseph
  • Leist, Casey James
  • Tadi, Pranav Ram
  • Flaherty, Andrea Lee
  • Brummitt, Charles David
  • Sinha, Naveen Neil
  • Lambert, Jordan
  • Hennek, Jonathan
  • Becco, Carlos
  • Allen, Mark
  • Bachner, Daniel
  • Derossi, Fernando
  • Lamont, Ewan
  • Lowenthal, Rob
  • Creagh, Dan
  • Abramson, Steve
  • Allen, Ben
  • Shankar, Jyoti
  • Moscardini, Chris
  • Crane, Jeremy
  • Weisman, David
  • Keating, Gerard
  • Moores, Lauren
  • Pate, William

Abstract

A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

IPC Classes  ?

  • G06N 5/04 - Inference or reasoning models
  • G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
  • G06N 20/00 - Machine learning
  • G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
  • G06N 3/08 - Learning methods
  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06V 20/10 - Terrestrial scenes
  • A01B 79/00 - Methods for working soil
  • A01B 79/02 - Methods for working soil combined with other agricultural processing, e.g. fertilising, planting
  • A01C 21/00 - Methods of fertilising
  • G06F 18/21 - Design or setup of recognition systems or techniquesExtraction of features in feature spaceBlind source separation
  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"

71.

Streptomyces endophyte compositions and methods for improved agronomic traits in plants

      
Application Number 16930020
Grant Number 11819027
Status In Force
Filing Date 2020-07-15
First Publication Date 2021-07-08
Grant Date 2023-11-21
Owner Indigo Ag, Inc. (USA)
Inventor
  • Djonovic, Slavica
  • Mckenzie, Elizabeth Alexa
  • Toledo, Gerardo
  • Sadowski, Craig
  • Von Maltzahn, Geoffrey
  • Ambrose, Karen V.
  • Zhang, Xuecheng
  • Johnston, David Morris
  • Gulick, Trudi A.

Abstract

Streptomyces, including benefits to a plant derived from a seed or other plant element treated with said endophyte. For example, this invention provides purified endophytes, synthetic combinations comprising endophytes, and methods of making and using the same. In particular, this invention relates to compositions and methods of improving soybean and maize plants.

IPC Classes  ?

  • A01N 63/28 - Streptomyces
  • A01C 1/06 - Coating or dressing seed
  • A01H 17/00 - Symbiotic or parasitic combinations including one or more new plants, e.g. mycorrhiza
  • A01N 63/30 - Microbial fungiSubstances produced thereby or obtained therefrom
  • A01N 63/00 - Biocides, pest repellants or attractants, or plant growth regulators containing microorganisms, viruses, microbial fungi, animals or substances produced by, or obtained from, microorganisms, viruses, microbial fungi or animals, e.g. enzymes or fermentates
  • A01G 7/00 - Botany in general
  • A01G 22/40 - Fabaceae, e.g. beans or peas
  • A01G 22/20 - Cereals

72.

BIOTRINSIC

      
Application Number 1599042
Status Registered
Filing Date 2021-04-08
Registration Date 2021-04-08
Owner Indigo Ag, Inc. (USA)
NICE Classes  ? 01 - Chemical and biological materials for industrial, scientific and agricultural use

Goods & Services

Preparations for fortifying plants; plant growth nutrients; natural fertilizers; soil improving preparations; microbial inoculants for application to seeds used in agriculture; microbial inoculants for application to agricultural plants; in-furrow and foliar plant growth microbial inoculants; biotechnologically-formed genes, microbes and enzymes for use in the production of agricultural seeds to enhance plants' growth therefrom; growth stimulant for microbial products used in the degradation of hydrocarbon contaminants; biological preparations for the treatment of seeds for use in agriculture and horticulture; biological preparations for use in agriculture, namely, microbial coatings used in the production and preparation of agricultural seeds; biological preparations for use in agriculture, namely, seed coatings applied to agricultural seeds to improve stands, seedling health and yield; biological preparations for use in agriculture, namely, microbes and enzymes that can be applied to agricultural seeds; nutritive additive to enhance the biological activity of seeds and plants for purposes of fertilization and bioremediation of pollutants; substances for regulating plant growth, namely, biological microorganisms used to grow crops; plant health and plant growth regulating or enhancing preparations, namely, plant growth regulators for agricultural use, including for foliar applications; preparations for improving plant health, yield, and resistance to a biotic stress or an abiotic stress, namely, plant nutrients and fertilizers; plant growth regulating preparations in the nature of rhizosphere-enhancing preparations, namely, foliar inoculants that colonize plant tissue, spread into the roots of plants and alter the rhizosphere in a way that is beneficial to plants for increased absorption, mobilization of plant nutrients, and improved pathogen control; cultures of microorganisms other than for medical of veterinary use, namely, growing media for plants.

73.

CARBON

      
Serial Number 90780929
Status Registered
Filing Date 2021-06-17
Registration Date 2023-08-22
Owner Indigo Ag, Inc. ()
NICE Classes  ?
  • 35 - Advertising and business services
  • 36 - Financial, insurance and real estate services
  • 42 - Scientific, technological and industrial services, research and design

Goods & Services

operating an online marketplace featuring agricultural goods and environmental credits; association services, namely, promoting the adoption and acceptance of agricultural standards for sequestration of carbon and other greenhouse gases; promoting voluntary common industry standards for sequestration of carbon and other greenhouse gases; providing a guaranteed pricing program service in the field of agricultural crops; provision of an online marketplace for buyers and sellers of carbon dioxide and other greenhouse gas credits, allowances or offsets; business administration of a program enabling participants to obtain goods produced using regenerative agricultural practices; providing an incentive program for producers, brokers, sellers, and buyers of agricultural carbon credits to promote the adoption of regenerative agricultural practices; providing a website featuring business information about the environmental impact of farming practices; providing a website featuring business information about environmental incentives; business services, namely, business data analysis in the field of greenhouse gas emissions; business consulting services in the field of development of natural climate conservation solutions for farms and agricultural carbon credit projects; business services, namely, advising businesses on issues of environmental impact, conservation, preservation, protection, and economic analysis about producing agriculture and nature-based carbon credits for business purposes; business services in the field of sequestration of carbon and other greenhouse gases, namely, providing information on issues of environmental impact, conservation, preservation, protection, and economic analysis relating to geological sequestration of carbon dioxide and other greenhouse gases, all for business purposes; business services relating to verification of regenerative farming practices, namely, preparation of business reports for certification purposes in the field of regenerative farming practices Financial administration of a program enabling participants to obtain goods produced using regenerative agricultural practices; providing a website featuring financial information about environmental incentives Provision of scientific information, advice, and consultancy in relation to carbon offsetting, regenerative agricultural practices, and reduction of carbon and other greenhouse gas emissions; technical environmental consultation in the field of climate change and bio-diversity; research in the field of environmental protection; measurement and verification of carbon dioxide and other greenhouse gas emission offsets; measurement, analysis, and verification of soil carbon, carbon emissions and other greenhouse gas emissions; consulting services pertaining to the technology of agricultural sequestration of carbon and other greenhouse gases; software as a service (SaaS) services, namely, software for data collection and analysis relating to the sequestration of carbon and other greenhouse gases; software as a service (SaaS) services, namely, software for connecting users to databases of information and data related to soil carbon, carbon emissions and other greenhouse gas emissions; software as a service (SaaS) services, namely, software for collecting, calibrating, cleaning, analyzing, and displaying data from remote sensing equipment and devices in the field of agriculture; software as a service (SaaS) services, namely, software for tracking, monitoring, and certifying agricultural crops for compliance with sustainability goals; software as a service (SaaS) services, namely, software for data collection and estimating environmental impacts of agricultural practices; software as a service (SaaS) services, namely, software for monitoring, and verifying compliance with protocols for issuance of environmental conservation credits such as carbon credits; providing a website featuring scientific research information in the field of environmental impact of farming practices; measurement of greenhouse gas emissions and related data analysis; development of new technology for others in the field of climate conservation solutions for farms; providing information on scientific research and engineering in the field of geological sequestration of carbon dioxide and other greenhouse gases; verification of regenerative farming practices, namely, testing, analysis and evaluation of farming practices of others to determine conformity with certification standards

74.

Endophyte compositions and methods for improvement of plant traits

      
Application Number 16837881
Grant Number 11516989
Status In Force
Filing Date 2020-04-01
First Publication Date 2021-05-13
Grant Date 2022-12-06
Owner Indigo Ag, Inc. (USA)
Inventor Riley, Raymond

Abstract

This invention relates to methods and materials for modulating the characteristics of a plant, said plant having been heterologously disposed to an endophyte or a plurality of endophytes, or derived from a plant reproductive element heterologously disposed to an endophyte or a plurality of endophytes.

IPC Classes  ?

  • C12N 15/82 - Vectors or expression systems specially adapted for eukaryotic hosts for plant cells
  • A01H 17/00 - Symbiotic or parasitic combinations including one or more new plants, e.g. mycorrhiza
  • C05F 11/08 - Organic fertilisers containing added bacterial cultures, mycelia or the like
  • A01N 63/30 - Microbial fungiSubstances produced thereby or obtained therefrom

75.

IMPUTATION OF REMOTE SENSING TIME SERIES FOR LOW-LATENCY AGRICULTURAL APPLICATIONS

      
Application Number US2020052755
Publication Number 2021/062177
Status In Force
Filing Date 2020-09-25
Publication Date 2021-04-01
Owner INDIGO AG, INC. (USA)
Inventor
  • Melaas, Eli, Kellen
  • Baldo, Elisabeth, Florence, Ilona
  • Braswell, Bobby, Harold

Abstract

Imputation of remote sensing time series for low-latency agricultural applications is provided. In various embodiments, a first time series of raster data is read. The first time series spans a geographic region and has a first resolution and a first frequency. A second time series of raster data is read. The second time series spans the geographic region and has a second resolution and a second frequency. The second resolution is lower than the first resolution. The second frequency is higher than the first frequency. A mean time series is determined from the first time series of raster data. A predicted time series of values for a location within the geographic region is determined at the first resolution by determining a first time series of values for the location from the first time series of raster data, determining a second time series of values of the location from the second time series of raster data, and determining the predicted time series by multiple linear regression with the first time series dependent on the mean time series and the second time series.

IPC Classes  ?

  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"

76.

MODELING FIELD IRRIGATION WITH REMOTE SENSING IMAGERY

      
Application Number US2020052706
Publication Number 2021/062147
Status In Force
Filing Date 2020-09-25
Publication Date 2021-04-01
Owner INDIGO AG, INC. (USA)
Inventor Baldo, Elisabeth, Florence, Ilona

Abstract

Detection of field irrigation through remote sensing is provided, wherein at least one time series of index rasters and time series of weather data for the geographic region are read. The at least one time series of index rasters and weather data are divided into a plurality of time windows, wherein the time series of weather data is composited within each of the plurality of time windows, yielding composite weather data in each of the plurality of time windows, provided to a trained classifier wherein each pixel irrigation label indicates the presence or absence of irrigation at the associated pixel.

IPC Classes  ?

  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06K 9/78 - Combination of image acquisition and recognition functions
  • G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
  • G06Q 50/02 - AgricultureFishingForestryMining

77.

Seed Endophytes Across Cultivars and Species, Associated Compositions, and Methods of Use Thereof

      
Application Number 16827551
Status Pending
Filing Date 2020-03-23
First Publication Date 2021-03-18
Owner Indigo Ag, Inc. (USA)
Inventor
  • Ambrose, Karen V.
  • Billings, Nathan A.
  • Djonovic, Slavica
  • Flavell, Richard Bailey
  • Gulick, Trudi A.
  • Johnston, David Morris
  • Leff, Jonathan W.
  • Liva, Stephanie M.
  • Lyford, Jeffrey
  • Von Maltzahn, Geoffrey
  • Marquez, Luis Miguel
  • Millet, Yves Alain
  • Sadowski, Craig
  • Samayoa, Phillip
  • Toledo, Gerardo V.
  • Weisman, David R.
  • Zhang, Xuecheng

Abstract

Materials and methods for improving plant traits and for providing plant fitness benefits are provided. In some embodiments, the materials, and methods employing the same, can comprise endophytes.

IPC Classes  ?

  • A01N 63/30 - Microbial fungiSubstances produced thereby or obtained therefrom
  • C05F 11/08 - Organic fertilisers containing added bacterial cultures, mycelia or the like
  • A01N 37/46 - N-acyl derivatives
  • A01N 63/10 - AnimalsSubstances produced thereby or obtained therefrom

78.

IMAGERY-BASED BOUNDARY IDENTIFICATION FOR AGRICULTURAL FIELDS

      
Application Number US2020048188
Publication Number 2021/041666
Status In Force
Filing Date 2020-08-27
Publication Date 2021-03-04
Owner INDIGO AG, INC. (USA)
Inventor Braswell, Bobby Harold

Abstract

According to embodiments of the present disclosure, methods of and computer program products for agricultural field boundary identification are provided. A time series of surface reflectance rasters for a geographic region is received for which at least one index raster is determined, yielding at least one time series of index rasters. The at least one time series of index rasters is divided into a plurality of consecutive time windows and composited within each of the plurality of time windows, yielding a composite index raster. The composite index rasters are segmented into a plurality of spatially compact regions of the geographic region and a plurality of polygons is generated, each of the plurality of polygons corresponding to an agricultural field in the geographic region.

IPC Classes  ?

  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06K 9/62 - Methods or arrangements for recognition using electronic means
  • G06K 9/78 - Combination of image acquisition and recognition functions
  • G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
  • G06Q 50/02 - AgricultureFishingForestryMining

79.

Endophyte compositions and the methods for improvement of plant traits

      
Application Number 16831675
Grant Number 11985931
Status In Force
Filing Date 2020-03-26
First Publication Date 2021-02-25
Grant Date 2024-05-21
Owner Indigo Ag, Inc. (USA)
Inventor Riley, Raymond

Abstract

This invention relates to methods and materials for modulating the characteristics of a plant, said plant having been heterologously disposed to an endophyte or a plurality of endophytes, or derived from a plant reproductive element heterologously disposed to an endophyte or a plurality of endophytes.

IPC Classes  ?

  • A01H 17/00 - Symbiotic or parasitic combinations including one or more new plants, e.g. mycorrhiza
  • A01C 1/06 - Coating or dressing seed
  • A01H 3/00 - Processes for modifying phenotypes
  • A01N 63/30 - Microbial fungiSubstances produced thereby or obtained therefrom
  • C12N 1/14 - Fungi Culture media therefor
  • C12N 1/20 - BacteriaCulture media therefor
  • C12N 15/82 - Vectors or expression systems specially adapted for eukaryotic hosts for plant cells
  • C12Q 1/689 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms for bacteria
  • C12Q 1/6895 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms for plants, fungi or algae
  • C12R 1/01 - Bacteria or actinomycetales
  • C12R 1/645 - Fungi
  • C12R 1/66 - Aspergillus

80.

Modulated nutritional quality traits in seeds

      
Application Number 16820498
Grant Number 11178876
Status In Force
Filing Date 2020-03-16
First Publication Date 2021-02-18
Grant Date 2021-11-23
Owner Indigo Ag, Inc. (USA)
Inventor
  • Riley, Raymond
  • Djonovic, Slavica
  • Vosnidou, Nancy
  • Bitas, Vasileios

Abstract

This invention relates to methods and materials for modulating seed nutritional quality traits of seeds produced by a wheat, cotton, soybean, or maize plant, said plant having been heterologously disposed to, or grown from, a plant element treated with an endophyte.

IPC Classes  ?

  • C12N 15/82 - Vectors or expression systems specially adapted for eukaryotic hosts for plant cells
  • A01N 63/30 - Microbial fungiSubstances produced thereby or obtained therefrom
  • A01H 17/00 - Symbiotic or parasitic combinations including one or more new plants, e.g. mycorrhiza
  • A01H 3/00 - Processes for modifying phenotypes
  • A01H 5/10 - Seeds

81.

CROP YIELD FORECASTING MODELS

      
Document Number 03146167
Status Pending
Filing Date 2020-07-08
Open to Public Date 2021-01-14
Owner INDIGO AG, INC. (USA)
Inventor
  • Malizia, Nicholas
  • Xu, Ying
  • Friedl, Mark
  • Bechtel, Jonathon

Abstract

Methods of and computer program products for predicting crop yield of a geographic region are provided. In various embodiments, a time series of satellite imagery is received. The time series of satellite imagery covers at least the geographic region during a predetermined time period. The predetermined time period comprises one or more phenology periods. A time series of weather data is received. The time series of weather data covers at least the geographic region during the predetermined time period. At least one surface feature of the geographic region during each of the one or more phenology periods is generated from the time series of satellite imagery. At least one weather feature of the geographic region during each of the one or more phenology periods is generated from the time series of weather data. The at least one surface feature and the at least one weather feature are provided to a trained model. A prediction of crop yield for the geographical region is received from the trained model.

IPC Classes  ?

  • G06E 1/00 - Devices for processing exclusively digital data

82.

CROP YIELD FORECASTING MODELS

      
Application Number US2020041256
Publication Number 2021/007352
Status In Force
Filing Date 2020-07-08
Publication Date 2021-01-14
Owner INDIGO AG, INC. (USA)
Inventor
  • Malizia, Nicholas
  • Xu, Ying
  • Bechtel, Jonathon
  • Friedl, Mark

Abstract

Methods of and computer program products for predicting crop yield of a geographic region are provided. In various embodiments, a time series of satellite imagery is received. The time series of satellite imagery covers at least the geographic region during a predetermined time period. The predetermined time period comprises one or more phenology periods. A time series of weather data is received. The time series of weather data covers at least the geographic region during the predetermined time period. At least one surface feature of the geographic region during each of the one or more phenology periods is generated from the time series of satellite imagery. At least one weather feature of the geographic region during each of the one or more phenology periods is generated from the time series of weather data. The at least one surface feature and the at least one weather feature are provided to a trained model. A prediction of crop yield for the geographical region is received from the trained model.

IPC Classes  ?

  • G06E 1/00 - Devices for processing exclusively digital data

83.

BIOTRINSIC

      
Serial Number 90339473
Status Registered
Filing Date 2020-11-24
Registration Date 2022-03-15
Owner Indigo Ag, Inc. ()
NICE Classes  ? 01 - Chemical and biological materials for industrial, scientific and agricultural use

Goods & Services

preparations for fortifying plants; plant growth nutrients; natural fertilizers; soil improving preparations; microbial inoculants for application to seeds used in agriculture; microbial inoculants for application to agricultural plants; biological preparations for the treatment of seeds for use in agriculture and horticulture; biological preparations for use in agriculture, namely, microbial coatings used in the production and preparation of agricultural seeds; biological preparations for use in agriculture, namely, seed coatings applied to agricultural seeds to improve stands, seedling health and yield; biological preparations for use in agriculture, namely, microbes and enzymes that can be applied to agricultural seeds; nutritive additive to enhance the biological activity of seeds and plants for purposes of fertilization and bioremediation of pollutants; preparations for improving plant health, yield, and resistance to a biotic stress or an abiotic stress, namely, plant nutrients and fertilizers; cultures of microorganisms other than for medical of veterinary use, namely, growing media for plants

84.

Methods of use of seed-origin endophyte populations

      
Application Number 16657929
Grant Number 11166465
Status In Force
Filing Date 2019-10-18
First Publication Date 2020-09-10
Grant Date 2021-11-09
Owner Indigo Ag, Inc. (USA)
Inventor
  • Von Maltzahn, Geoffrey
  • Flavell, Richard Bailey
  • Toledo, Gerardo V.
  • Djonovic, Slavica
  • Marquez, Luis Miguel
  • Johnston, David Morris
  • Millet, Yves Alain
  • Lyford, Jeffrey
  • Naydich, Alexander
  • Sadowski, Craig

Abstract

This application relates to methods and materials for providing a benefit to a seed or seedling of an agricultural plant (e.g., an agricultural grass plant), or the agricultural plant derived from the seed or seedling. For example, this application provides purified bacterial populations that include novel seed-origin bacterial endophytes, and synthetic combinations of seeds and/or seedlings (e.g., cereal seeds and/or seedlings) with heterologous seed-derived bacterial endophytes.

IPC Classes  ?

  • A01N 63/20 - BacteriaSubstances produced thereby or obtained therefrom
  • A01N 25/00 - Biocides, pest repellants or attractants, or plant growth regulators, characterised by their forms, or by their non-active ingredients or by their methods of applicationSubstances for reducing the noxious effect of the active ingredients to organisms other than pests
  • A01C 1/06 - Coating or dressing seed
  • G01N 33/50 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing
  • A01C 1/00 - Apparatus, or methods of use thereof, for testing or treating seed, roots, or the like, prior to sowing or planting

85.

Method for propagating microorganisms within plant bioreactors and stably storing microorganisms within agricultural seeds

      
Application Number 16512219
Grant Number 10932469
Status In Force
Filing Date 2019-07-15
First Publication Date 2020-01-09
Grant Date 2021-03-02
Owner
  • AIT Austrian Institute of Technology (Austria)
  • Indigo AG, Inc. (USA)
Inventor
  • Mitter, Birgit
  • Naveed, Muhammad
  • Berninger, Teresa
  • Compant, Stephane
  • Sessitsch, Angela
  • Von Maltzahn, Geoffrey
  • Flavell, Richard Bailey
  • Toledo, Gerardo V.
  • Djonovic, Slavica
  • Marquez, Luis Miguel
  • Johnston, David Morris
  • Millet, Yves Alain
  • Lyford, Jeffrey
  • Leff, Jonathan W.
  • Samayoa, Phillip
  • Sadowski, Craig

Abstract

The present invention relates to methods of scalably producing microorganisms by propagating them within plant tissues and introducing them into agricultural seeds to improve their shelf-life during long-term storage, to produce substances of interest, and to create libraries of microbes.

IPC Classes  ?

  • A01N 63/00 - Biocides, pest repellants or attractants, or plant growth regulators containing microorganisms, viruses, microbial fungi, animals or substances produced by, or obtained from, microorganisms, viruses, microbial fungi or animals, e.g. enzymes or fermentates
  • A01N 63/10 - AnimalsSubstances produced thereby or obtained therefrom
  • A01H 5/00 - Angiosperms, i.e. flowering plants, characterised by their plant partsAngiosperms characterised otherwise than by their botanic taxonomy
  • C12N 1/20 - BacteriaCulture media therefor
  • G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups

86.

INDIGO

      
Application Number 018163212
Status Registered
Filing Date 2019-12-09
Registration Date 2022-10-03
Owner Indigo Ag, Inc (USA)
NICE Classes  ?
  • 35 - Advertising and business services
  • 36 - Financial, insurance and real estate services
  • 41 - Education, entertainment, sporting and cultural services
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

Association services, namely, promoting the adoption and acceptance of agricultural standards for sequestration of carbon and other greenhouse gases; promoting voluntary common industry standards for farming sequestration of carbon and other greenhouse gases; provision of an online marketplace for buyers and sellers of carbon dioxide and other greenhouse gas credits, allowances or offsets. Brokerage of carbon credits; brokerage of greenhouse gas credits; brokerage of carbon offsets; brokerage of carbon dioxide and other greenhouse gas emission credits, allowances or offsets on behalf of offset producers; brokerage of greenhouse gas offsets; trading of carbon dioxide and other greenhouse gas emission credits, allowances or offsets; financial sponsorship of carbon offset programs; financial services, namely, funding of and capital investment in emissions reduction projects; financial investment in the field of carbon offset programs and related projects for others. Providing education information in the field of sequestration of carbon and other greenhouse gases; educational services, namely, conducting programs in the field of sequestration of carbon and other greenhouse gases. Provision of scientific information, advice, and consultancy in relation to carbon offsetting; engineering consultation in the field of reducing carbon and other greenhouse gas emissions; environmental consultation in the field of climate change and bio-diversity; research in the field of environmental protection; measurement and verification of carbon dioxide and other greenhouse gas emission offsets; measurement, analysis, and verification of soil carbon, carbon emissions and other greenhouse gas emissions; platform as a service (PaaS) featuring computer software platforms for data collection and analysis for use in research relating to the sequestration of carbon and other greenhouse gaseS. Agricultural advice; agricultural advice relating to regenerative farming practices; providing a website that features information on reduction of carbon dioxide and other greenhouse gas emissions through agricultural processes.

87.

INDIGO

      
Application Number 199965500
Status Pending
Filing Date 2019-12-05
Owner Indigo Ag, Inc. (USA)
NICE Classes  ?
  • 35 - Advertising and business services
  • 41 - Education, entertainment, sporting and cultural services
  • 42 - Scientific, technological and industrial services, research and design
  • 44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services

Goods & Services

(1) Association services, namely, promoting the adoption and acceptance of agricultural standards for sequestration of carbon and other greenhouse gases; provision of an online marketplace for buyers and sellers of carbon dioxide and other greenhouse gas credits, allowances or offsets. (2) Providing education information in the field of sequestration of carbon and other greenhouse gases'; educational services, namely, conducting programs in the field of sequestration of carbon and other greenhouse gases (3) Consulting services pertaining to the technology of agricultural sequestration of carbon and other greenhouse gases; measurement and verification of carbon dioxide and other greenhouse gas emission offsets; measurement, analysis, and verification of soil carbon, carbon emissions and other greenhouse gas emissions. (4) Agricultural advice relating to regenerative farming practices; consulting services pertaining to regenerative farming practices for the sequestration of carbon and other greenhouse gases.

88.

INDIGO

      
Serial Number 88713850
Status Registered
Filing Date 2019-12-03
Registration Date 2024-04-02
Owner Indigo Ag, Inc. ()
NICE Classes  ? 36 - Financial, insurance and real estate services

Goods & Services

Merchant services, namely, payment transaction processing services; brokerage of environmental credits, namely, credits for carbon sequestration, nitrogen-run off reduction and other environmental conservation practices

89.

INDIGO

      
Serial Number 88713851
Status Registered
Filing Date 2019-12-03
Registration Date 2022-02-08
Owner Indigo Ag, Inc. ()
NICE Classes  ? 35 - Advertising and business services

Goods & Services

Providing business information, news, and commentary in the field of marketing agricultural goods; providing business information, news, and commentary in the field of agriculture; providing business information, news, and commentary in the field of regenerative agricultural practices and environmental conservation; providing business information, news, and commentary in the field of agricultural sequestration of carbon and other greenhouse gases

90.

INDIGO

      
Serial Number 88713856
Status Registered
Filing Date 2019-12-03
Registration Date 2023-08-15
Owner Indigo Ag, Inc. ()
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & Services

Platform as a service (PaaS) featuring computer software platforms for collecting, calibrating, cleaning, analyzing, and displaying data from remote sensing equipment and devices in the field of agriculture; platform as a service (PaaS) featuring computer software platforms for tracking, monitoring, and certifying agricultural crops for compliance with sustainability goals; platform as a service (PaaS) featuring computer software platforms for supply chain management in the field of agriculture; platform as a service (PaaS) featuring computer software platforms for supply chain visualization, tracing, and tracking in the field of agriculture; platform as a service (PaaS) featuring computer software platforms for providing consulting in the field of agriculture; platform as a service (PaaS) featuring computer software platforms for educational instruction in the fields of regenerative agricultural practices, agricultural sequestration of carbon and other greenhouse gases, and environmental conservation practices; platform as a service (PaaS) featuring computer software platforms for providing webinars, tutorials, and podcasts in the field of agriculture; platform as a service (PaaS) featuring computer software platforms for collecting, editing, organizing, modifying, bookmarking, transmitting, storing, and sharing data and information with others in the field of agriculture; platform as a service (PaaS) featuring computer software platforms for creating agronomic technology workflows for meeting sustainability business objectives in the field of agriculture; platform as a service (PaaS) featuring computer software platforms for distribution of agricultural research information in the fields of biology, ecology, microbiology, entomology, soil health, and environmental sustainability; platform as a service (PaaS) featuring computer software platforms for marketing agricultural goods and environmental credits via an online marketplace; platform as a service (PaaS) featuring computer software platforms for an online marketplace for agricultural goods; platform as a service (PaaS) featuring computer software platforms for an online marketplace for environmental credits; platform as a service (PaaS) featuring computer software platforms for estimating, submitting and tracking payments for agricultural products; platform as a service (PaaS) featuring computer software platforms for estimating, submitting, and tracking payments for environmental credits; platform as a service (PaaS) featuring computer software platforms for monitoring resource utilization in the field of agriculture; platform as a service (PaaS) featuring computer software platforms for offsetting resource utilization via purchase of environmental credits; platform as a service (PaaS) featuring computer software platforms for use in conducting research relating to the production of healthful food products, the sequestration of carbon and other greenhouse gases, and environmental sustainability in the agricultural field; platform as a service (PaaS) featuring computer software platforms for geospatial and mapping services in the field of agriculture; research services in the nature of geospatial and mapping services in the field of agriculture

91.

INDIGO

      
Serial Number 88713858
Status Registered
Filing Date 2019-12-03
Registration Date 2021-08-31
Owner Indigo Ag, Inc. ()
NICE Classes  ? 42 - Scientific, technological and industrial services, research and design

Goods & Services

Providing geospatial analysis and information featuring mapping services and mapping analysis in the field of agriculture

92.

Isolated complex endophyte compositions and methods for improved plant traits

      
Application Number 16221262
Grant Number 11064702
Status In Force
Filing Date 2018-12-14
First Publication Date 2019-11-07
Grant Date 2021-07-20
Owner Indigo Ag, Inc. (USA)
Inventor
  • Ambrose, Karen V.
  • Boghigian, Brett A.
  • Djonovic, Slavica
  • Gray, Paul Andrew
  • Toldedo, Gerardo V.
  • Marquez, Luis Miguel
  • Von Maltzahn, Geoffrey

Abstract

This invention relates to methods and materials for providing a benefit to a plant by associating the plant with a complex endophyte comprising a host fungus further comprising a component bacterium, including benefits to a plant derived from a seed or other plant element treated with a complex endophyte. For example, this invention provides purified complex endophytes, purified complex endophyte components such as bacteria or fungi, synthetic combinations comprising said complex endophytes and/or components, and methods of making and using the same.

IPC Classes  ?

  • A01H 1/00 - Processes for modifying genotypes
  • A01N 63/00 - Biocides, pest repellants or attractants, or plant growth regulators containing microorganisms, viruses, microbial fungi, animals or substances produced by, or obtained from, microorganisms, viruses, microbial fungi or animals, e.g. enzymes or fermentates
  • A01G 22/00 - Cultivation of specific crops or plants not otherwise provided for
  • A01N 63/30 - Microbial fungiSubstances produced thereby or obtained therefrom

93.

Designed complex endophyte compositions and methods for improved plant traits

      
Application Number 16221333
Grant Number 11197457
Status In Force
Filing Date 2018-12-14
First Publication Date 2019-11-07
Grant Date 2021-12-14
Owner Indigo Ag, Inc. (USA)
Inventor
  • Ambrose, Karen V.
  • Boghigian, Brett A.
  • Djonovic, Slavica
  • Gray, Paul Andrew
  • Toledo, Gerardo V.
  • Marquez, Luis Miguel
  • Pelaez, Julianne Naomi
  • Von Maltzahn, Geoffrey

Abstract

This invention relates to methods and materials for providing a benefit to a plant by associating the plant with a complex endophyte comprising a host fungus further comprising a component bacterium, including benefits to a plant derived from a seed or other plant element treated with a complex endophyte. For example, this invention provides purified complex endophytes, purified complex endophyte components such as bacteria or fungi, synthetic combinations comprising said complex endophytes and/or components, and methods of making and using the same.

IPC Classes  ?

94.

INTERACTION MANAGEMENT IN AN ONLINE AGRICULTURAL SYSTEM

      
Document Number 03098365
Status Pending
Filing Date 2019-04-24
Open to Public Date 2019-10-31
Owner INDIGO AG, INC. (USA)
Inventor
  • Perry, David Patrick
  • Knight, Barry Loyd
  • Jeck, Eric Michael
  • Raymond, Rachel Ariel
  • Rajdev, Neal Hitesh
  • Von Maltzahn, Geoffrey Albert
  • Berendes, Robert
  • Post, Nathan
  • Sheets-Poling, Philip Gabriel
  • Connor, Rodney
  • Hennek, Jonathan
  • Mullins, Ean Shaughnessy Wahl
  • Klein, Kearney
  • Sidorsky, Misha
  • Crespo, Frank
  • Li, Jacqueline
  • Wong, Justin Y.H.
  • Birtwistle, Brian
  • Hall, Michael
  • Luther, Andrew
  • Hoopes, Lisa

Abstract

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

IPC Classes  ?

  • G06Q 10/08 - Logistics, e.g. warehousing, loading or distributionInventory or stock management
  • G06Q 30/0283 - Price estimation or determination
  • G06Q 30/0601 - Electronic shopping [e-shopping]
  • G06Q 50/02 - AgricultureFishingForestryMining

95.

Satellite-based agricultural modeling

      
Application Number 16450821
Grant Number 11170453
Status In Force
Filing Date 2019-06-24
First Publication Date 2019-10-31
Grant Date 2021-11-09
Owner Indigo AG, Inc. (USA)
Inventor
  • Perry, David Patrick
  • Knight, Barry Loyd
  • Jeck, Eric Michael
  • Raymond, Rachel Ariel
  • Rajdev, Neal Hitesh
  • Von Maltzahn, Geoffrey Albert
  • Berendes, Robert
  • Post, Nathan
  • Hennek, Jonathan
  • Mullins, Ean Shaughnessy Wahl

Abstract

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

IPC Classes  ?

  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
  • G06Q 30/02 - MarketingPrice estimation or determinationFundraising
  • G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
  • G06Q 10/08 - Logistics, e.g. warehousing, loading or distributionInventory or stock management
  • G06Q 30/06 - Buying, selling or leasing transactions
  • G01W 1/10 - Devices for predicting weather conditions
  • G05D 1/02 - Control of position or course in two dimensions
  • G08G 1/0968 - Systems involving transmission of navigation instructions to the vehicle
  • G06N 20/00 - Machine learning
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06F 9/451 - Execution arrangements for user interfaces
  • G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange
  • G06Q 50/30 - Transportation; Communications
  • G16Y 10/05 - Agriculture

96.

INTERACTION MANAGEMENT IN AN ONLINE AGRICULTURAL SYSTEM

      
Application Number US2019028909
Publication Number 2019/209947
Status In Force
Filing Date 2019-04-24
Publication Date 2019-10-31
Owner INDIGO AG, INC. (USA)
Inventor
  • Perry, David, Patrick
  • Knight, Barry Loyd
  • Jeck, Eric, Michael
  • Raymond, Rachel, Ariel
  • Rajdev, Neal, Hitesh
  • Von Maltzahn, Geoffrey, Albert
  • Berendes, Robert
  • Post, Nathan
  • Sheets-Poling, Philip, Gabriel
  • Connor, Rodney
  • Hennek, Jonathan
  • Mullins, Ean Shaughnessy, Wahl
  • Klein, Kearney
  • Sidorsky, Misha
  • Crespo, Frank
  • Li, Jacqueline
  • Wong, Justin, Y.H.
  • Birtwistle, Brian
  • Hall, Michael
  • Luther, Andrew
  • Hoopes, Lisa

Abstract

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

IPC Classes  ?

  • G06Q 30/06 - Buying, selling or leasing transactions
  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06Q 50/28 - Logistics, e.g. warehousing, loading, distribution or shipping
  • G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange

97.

Information translation in an online agricultural system

      
Application Number 16393329
Grant Number 11710196
Status In Force
Filing Date 2019-04-24
First Publication Date 2019-10-24
Grant Date 2023-07-25
Owner INDIGO AG, INC. (USA)
Inventor
  • Perry, David Patrick
  • Knight, Barry Loyd
  • Jeck, Eric Michael
  • Raymond, Rachel Ariel
  • Rajdev, Neal Hitesh
  • Von Maltzahn, Geoffrey Albert
  • Berendes, Robert
  • Post, Nathan
  • Sheets-Poling, Philip Gabriel
  • Connor, Rodney
  • Hennek, Jonathan

Abstract

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

IPC Classes  ?

  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
  • G06Q 30/0202 - Market predictions or forecasting for commercial activities
  • G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
  • G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders
  • G06Q 30/0601 - Electronic shopping [e-shopping]
  • G01W 1/10 - Devices for predicting weather conditions
  • G06Q 10/0832 - Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
  • G06Q 10/0833 - Tracking
  • G06Q 10/0835 - Relationships between shipper or supplier and carriers
  • G08G 1/0968 - Systems involving transmission of navigation instructions to the vehicle
  • G06Q 10/0834 - Choice of carriers
  • G06Q 10/0836 - Recipient pick-ups
  • G06Q 30/0201 - Market modellingMarket analysisCollecting market data
  • G06N 20/00 - Machine learning
  • G06F 9/451 - Execution arrangements for user interfaces
  • G06Q 30/0283 - Price estimation or determination
  • G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange
  • G06V 20/10 - Terrestrial scenes
  • G05D 1/02 - Control of position or course in two dimensions
  • G06Q 50/30 - Transportation; Communications
  • G16Y 10/05 - Agriculture

98.

Satellite-based agricultural modeling

      
Application Number 16455325
Grant Number 11367093
Status In Force
Filing Date 2019-06-27
First Publication Date 2019-10-24
Grant Date 2022-06-21
Owner INDIGO AG, INC. (USA)
Inventor
  • Perry, David Patrick
  • Knight, Barry Loyd
  • Jeck, Eric Michael
  • Raymond, Rachel Ariel
  • Rajdev, Neal Hitesh
  • Von Maltzahn, Geoffrey Albert
  • Berendes, Robert
  • Post, Nathan
  • Hennek, Jonathan
  • Mullins, Ean Shaughnessy Wahl

Abstract

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

IPC Classes  ?

99.

Machine learning in an online agricultural system

      
Application Number 16393320
Grant Number 11138677
Status In Force
Filing Date 2019-04-24
First Publication Date 2019-10-24
Grant Date 2021-10-05
Owner Indigo AG, Inc. (USA)
Inventor
  • Perry, David Patrick
  • Knight, Barry Loyd
  • Jeck, Eric Michael
  • Raymond, Rachel Ariel
  • Rajdev, Neal Hitesh
  • Von Maltzahn, Geoffrey Albert
  • Berendes, Robert
  • Post, Nathan
  • Sheets-Poling, Philip Gabriel
  • Connor, Rodney
  • Hennek, Jonathan
  • Mullins, Ean Shaughnessy Wahl

Abstract

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

IPC Classes  ?

  • G06Q 10/00 - AdministrationManagement
  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
  • G06Q 30/02 - MarketingPrice estimation or determinationFundraising
  • G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
  • G06Q 10/08 - Logistics, e.g. warehousing, loading or distributionInventory or stock management
  • G06Q 30/06 - Buying, selling or leasing transactions
  • G01W 1/10 - Devices for predicting weather conditions
  • G05D 1/02 - Control of position or course in two dimensions
  • G08G 1/0968 - Systems involving transmission of navigation instructions to the vehicle
  • G06N 20/00 - Machine learning
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06F 9/451 - Execution arrangements for user interfaces
  • G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange
  • G06Q 50/30 - Transportation; Communications
  • G16Y 10/05 - Agriculture

100.

SATELLITE-BASED AGRICULTURAL MODELING

      
Application Number 16393325
Status Pending
Filing Date 2019-04-24
First Publication Date 2019-10-24
Owner Indigo Ag, Inc. (USA)
Inventor
  • Perry, David Patrick
  • Knight, Barry Loyd
  • Jeck, Eric Michael
  • Raymond, Rachel Ariel
  • Rajdev, Neal Hitesh
  • Von Maltzahn, Geoffrey Albert
  • Berendes, Robert
  • Post, Nathan
  • Hennek, Jonathan
  • Mullins, Ean Shaughnessy Wahl

Abstract

An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

IPC Classes  ?

  • G06Q 30/02 - MarketingPrice estimation or determinationFundraising
  • G06Q 50/02 - AgricultureFishingForestryMining
  • G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
  • G06N 20/00 - Machine learning
  • G06Q 30/06 - Buying, selling or leasing transactions
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