MX2022008361A - Uso de sensores remotos opticos y modelos de aprenzidaje por maquina para predecir datos de propiedades del campo agronomico. - Google Patents
Uso de sensores remotos opticos y modelos de aprenzidaje por maquina para predecir datos de propiedades del campo agronomico.Info
- Publication number
- MX2022008361A MX2022008361A MX2022008361A MX2022008361A MX2022008361A MX 2022008361 A MX2022008361 A MX 2022008361A MX 2022008361 A MX2022008361 A MX 2022008361A MX 2022008361 A MX2022008361 A MX 2022008361A MX 2022008361 A MX2022008361 A MX 2022008361A
- Authority
- MX
- Mexico
- Prior art keywords
- agronomic
- property data
- field property
- machine learning
- predict
- Prior art date
Links
- 230000009418 agronomic effect Effects 0.000 title abstract 11
- 238000010801 machine learning Methods 0.000 title abstract 4
- 230000003287 optical effect Effects 0.000 title 1
- 238000000034 method Methods 0.000 abstract 2
- 230000004044 response Effects 0.000 abstract 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Computational Linguistics (AREA)
- Educational Administration (AREA)
- Animal Husbandry (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Agronomy & Crop Science (AREA)
- Operations Research (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Image Analysis (AREA)
- Photometry And Measurement Of Optical Pulse Characteristics (AREA)
Abstract
En algunas modalidades, se divulga un método implementado por computadora para predecir datos de propiedades del campo agronómico para uno o más campos agronómicos utilizando un modelo de aprendizaje por máquina entrenado; el método comprende recibir, en un sistema de computadora de inteligencia agrícola, datos de entrenamiento agronómico; entrenar un modelo de aprendizaje por máquina, en el sistema de computadora de inteligencia agrícola, utilizando los datos de entrenamiento agronómico; en respuesta a recibir una solicitud desde un dispositivo de computación del cliente para datos de propiedades del campo agronómico para uno o más campos agronómicos, predecir automáticamente los datos de propiedades del campo agronómico para uno o más campos agronómicos utilizando el modelo de aprendizaje por máquina configurado para predecir datos de propiedades del campo agronómico; con base en los datos de propiedades del campo agronómico, generar automáticamente una primera representación gráfica; y provocar que se despliegue la primera representación gráfica en el dispositivo de computación del cliente.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202062958211P | 2020-01-07 | 2020-01-07 | |
| PCT/US2021/012428 WO2021142068A1 (en) | 2020-01-07 | 2021-01-07 | Using optical remote sensors and machine learning models to predict agronomic field property data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| MX2022008361A true MX2022008361A (es) | 2022-08-04 |
Family
ID=76654011
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MX2022008361A MX2022008361A (es) | 2020-01-07 | 2021-01-07 | Uso de sensores remotos opticos y modelos de aprenzidaje por maquina para predecir datos de propiedades del campo agronomico. |
Country Status (8)
| Country | Link |
|---|---|
| US (1) | US20210209490A1 (es) |
| EP (1) | EP4088250A4 (es) |
| AR (1) | AR121004A1 (es) |
| AU (1) | AU2021205887A1 (es) |
| BR (1) | BR112022009590A2 (es) |
| CA (1) | CA3162476A1 (es) |
| MX (1) | MX2022008361A (es) |
| WO (1) | WO2021142068A1 (es) |
Families Citing this family (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11295331B2 (en) * | 2020-07-01 | 2022-04-05 | X Development Llc | Analyzing crop fields based on agricultural management practices |
| US11379865B2 (en) * | 2020-07-17 | 2022-07-05 | Sap Se | Machine learned models for item price planning |
| US11845449B2 (en) * | 2020-10-09 | 2023-12-19 | Deere & Company | Map generation and control system |
| US11775906B2 (en) * | 2020-10-30 | 2023-10-03 | Cibo Technologies, Inc. | Method and system for verification of carbon footprint in agricultural parcels |
| US11861625B2 (en) | 2020-10-30 | 2024-01-02 | Cibo Technologies, Inc. | Method and system for carbon footprint monitoring based on regenerative practice implementation |
| US11763271B2 (en) | 2020-10-30 | 2023-09-19 | Cibo Technologies, Inc. | Method and system for carbon footprint determination based on regenerative practice implementation |
| CN113537604B (zh) * | 2021-07-21 | 2023-10-10 | 中国农业大学 | 耦合过程模型和深度学习的农作物产量预测方法及装置 |
| US20230288594A1 (en) * | 2022-03-08 | 2023-09-14 | Landmark Graphics Corporation | Frequency-dependent machine learning model in seismic interpretation |
| CN115661664B (zh) * | 2022-12-08 | 2023-04-07 | 东莞先知大数据有限公司 | 一种边界遮挡检测及补偿方法、电子设备和存储介质 |
| CN116050699B (zh) * | 2023-03-24 | 2023-06-13 | 南京数溪智能科技有限公司 | 一种果园管理数据平台及其控制方法 |
| CN116522261B (zh) * | 2023-05-06 | 2023-12-22 | 北京瀚海蓝山智能科技有限公司 | 一种基于大数据的风险信息监控方法及系统 |
| CN117853947B (zh) * | 2024-03-06 | 2024-05-10 | 山东同圆数字科技有限公司 | 一种冬小麦遥感影像自动分析系统 |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| BR112018000627B1 (pt) * | 2015-07-15 | 2022-03-03 | The Climate Corporation | Método e sistema de processamento de dados para geração de modelos digitais de nutrientes disponíveis para uma cultura |
| US10342174B2 (en) * | 2015-10-16 | 2019-07-09 | The Climate Corporation | Method for recommending seeding rate for corn seed using seed type and sowing row width |
| US10154624B2 (en) * | 2016-08-08 | 2018-12-18 | The Climate Corporation | Estimating nitrogen content using hyperspectral and multispectral images |
| WO2018049289A1 (en) * | 2016-09-09 | 2018-03-15 | Cibo Technologies, Inc. | Systems for adjusting agronomic inputs using remote sensing, and related apparatus and methods |
| US10423850B2 (en) * | 2017-10-05 | 2019-09-24 | The Climate Corporation | Disease recognition from images having a large field of view |
| US11423492B2 (en) * | 2017-11-21 | 2022-08-23 | Climate Llc | Computing risk from a crop damaging factor for a crop on an agronomic field |
| US11116145B2 (en) * | 2018-03-30 | 2021-09-14 | Greensight Argonomics, Inc. | Automated optimization of agricultural treatments based on raster image data system |
| US10878588B2 (en) * | 2018-06-22 | 2020-12-29 | X Development Llc | Detection and replacement of transient obstructions from high elevation digital images |
-
2021
- 2021-01-07 WO PCT/US2021/012428 patent/WO2021142068A1/en unknown
- 2021-01-07 AU AU2021205887A patent/AU2021205887A1/en active Pending
- 2021-01-07 CA CA3162476A patent/CA3162476A1/en active Pending
- 2021-01-07 EP EP21738969.1A patent/EP4088250A4/en active Pending
- 2021-01-07 MX MX2022008361A patent/MX2022008361A/es unknown
- 2021-01-07 AR ARP210100035A patent/AR121004A1/es unknown
- 2021-01-07 BR BR112022009590A patent/BR112022009590A2/pt unknown
- 2021-01-07 US US17/143,536 patent/US20210209490A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| US20210209490A1 (en) | 2021-07-08 |
| EP4088250A4 (en) | 2024-01-17 |
| EP4088250A1 (en) | 2022-11-16 |
| AR121004A1 (es) | 2022-04-06 |
| AU2021205887A1 (en) | 2022-06-30 |
| CA3162476A1 (en) | 2021-07-15 |
| WO2021142068A1 (en) | 2021-07-15 |
| BR112022009590A2 (pt) | 2022-08-02 |
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