MX2021001256A - Prediccion automatica de rendimientos y recomendacion de tasas de siembra con base en datos meteorologicos. - Google Patents
Prediccion automatica de rendimientos y recomendacion de tasas de siembra con base en datos meteorologicos.Info
- Publication number
- MX2021001256A MX2021001256A MX2021001256A MX2021001256A MX2021001256A MX 2021001256 A MX2021001256 A MX 2021001256A MX 2021001256 A MX2021001256 A MX 2021001256A MX 2021001256 A MX2021001256 A MX 2021001256A MX 2021001256 A MX2021001256 A MX 2021001256A
- Authority
- MX
- Mexico
- Prior art keywords
- yields
- weather data
- seeding rates
- periods
- list
- Prior art date
Links
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
- G06N5/048—Fuzzy inferencing
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C21/00—Methods of fertilising, sowing or planting
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- 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
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C21/00—Methods of fertilising, sowing or planting
- A01C21/005—Following a specific plan, e.g. pattern
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C7/00—Sowing
- A01C7/08—Broadcast seeders; Seeders depositing seeds in rows
- A01C7/10—Devices for adjusting the seed-box ; Regulation of machines for depositing quantities at intervals
- A01C7/102—Regulating or controlling the seed rate
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
- G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Business, Economics & Management (AREA)
- Soil Sciences (AREA)
- Automation & Control Theory (AREA)
- Fuzzy Systems (AREA)
- Computational Linguistics (AREA)
- Economics (AREA)
- Environmental Sciences (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Strategic Management (AREA)
- Primary Health Care (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Mining & Mineral Resources (AREA)
- Marine Sciences & Fisheries (AREA)
- Animal Husbandry (AREA)
- Agronomy & Crop Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
Se describe un método implementado por computadora para predecir rendimientos y recomendar tasas de siembra para subcampos con riesgos informados. El método comprende recibir, por un procesador, datos meteorológicos durante un primer período que consiste de una pluralidad de subperíodos para uno o más subcampos de un campo; para cada uno de la pluralidad de subperíodos para el subcampo: calcular un indicador de esfuerzo por humedad a partir de los datos meteorológicos; predecir, para cada una de una lista de tasas de siembra, un rendimiento del indicador de esfuerzo por humedad usando un modelo entrenado; y seleccionar una de la lista de tasas de siembra con base en la lista de rendimientos previstos; identificar uno de los rendimientos previstos que corresponden a la tasa de siembra seleccionada; determinar, por el procesador, un perfil de riesgo asociado con un intervalo de rendimientos para el subcampo con base en los rendimientos previstos identificados para la pluralidad de subperíodos; transmitir datos relacionados con el perfil de riesgo a un dispositivo asociado con el subcampo.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862714052P | 2018-08-02 | 2018-08-02 | |
PCT/US2019/044462 WO2020028546A1 (en) | 2018-08-02 | 2019-07-31 | Automatic prediction of yields and recommendation of seeding rates based on weather data |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2021001256A true MX2021001256A (es) | 2021-04-12 |
Family
ID=69228905
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2021001256A MX2021001256A (es) | 2018-08-02 | 2019-07-31 | Prediccion automatica de rendimientos y recomendacion de tasas de siembra con base en datos meteorologicos. |
Country Status (9)
Country | Link |
---|---|
US (1) | US20200042890A1 (es) |
EP (1) | EP3830750A4 (es) |
CN (1) | CN112889063A (es) |
AR (1) | AR115908A1 (es) |
AU (1) | AU2019315506A1 (es) |
BR (1) | BR112021001667A2 (es) |
CA (1) | CA3108078A1 (es) |
MX (1) | MX2021001256A (es) |
WO (1) | WO2020028546A1 (es) |
Families Citing this family (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11593674B2 (en) | 2018-10-24 | 2023-02-28 | Climate Llc | Leveraging genetics and feature engineering to boost placement predictability for seed product selection and recommendation by field |
US11568467B2 (en) * | 2019-04-10 | 2023-01-31 | Climate Llc | Leveraging feature engineering to boost placement predictability for seed product selection and recommendation by field |
US11682090B2 (en) * | 2020-02-14 | 2023-06-20 | Cibo Technologies, Inc. | Method and apparatus for generation and employment of parcel production stability attributes for land parcel valuation |
US11720724B2 (en) | 2020-02-14 | 2023-08-08 | Cibo Technologies, Inc. | Method and apparatus for generation of land parcel valuation tailored for use |
US11798043B2 (en) | 2020-02-14 | 2023-10-24 | Cibo Technologies, Inc. | Method and apparatus for generation and employment of agro-economic metrics for land parcel valuation |
US11720723B2 (en) | 2020-02-14 | 2023-08-08 | Cibo Technologies, Inc. | Method and apparatus for generation and employment of parcel sustainability attributes for land parcel valuation |
US11727170B2 (en) * | 2020-02-14 | 2023-08-15 | Cibo Technologies, Inc. | Method and apparatus for generation of land parcel valuation based on supplemented parcel productivity attributes |
US11823296B2 (en) | 2020-02-14 | 2023-11-21 | Cibo Technologies, Inc. | Method and apparatus for generation and employment of parcel productivity attributes for land parcel valuation |
WO2021216655A1 (en) * | 2020-04-22 | 2021-10-28 | Opti-Harvest, Inc. | Agricultural data integration and analysis platform |
WO2022175970A1 (en) * | 2021-02-17 | 2022-08-25 | Waycool Foods And Products Private Limited | System and method for determining one or more agri-measures |
BR112023018867A2 (pt) * | 2021-03-19 | 2023-10-10 | Climate Llc | Determinação de incerteza das previsões agronômicas |
CN113159219B (zh) * | 2021-05-14 | 2022-04-08 | 广东工业大学 | 一种耦合遗传算法和神经网络的土壤污染物含量插值方法 |
WO2023118551A1 (en) * | 2021-12-23 | 2023-06-29 | Basf Agro Trademarks Gmbh | Method for determining a treatment schedule based on the matching with the user preference |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7313478B1 (en) * | 2006-06-08 | 2007-12-25 | Deere & Company | Method for determining field readiness using soil moisture modeling |
TWI446129B (zh) * | 2012-02-15 | 2014-07-21 | Nat Applied Res Laboratories | 水位預報即時校正的方法 |
US10667456B2 (en) * | 2014-09-12 | 2020-06-02 | The Climate Corporation | Methods and systems for managing agricultural activities |
US20160232621A1 (en) * | 2015-02-06 | 2016-08-11 | The Climate Corporation | Methods and systems for recommending agricultural activities |
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 |
US10251347B2 (en) * | 2016-01-07 | 2019-04-09 | The Climate Corporation | Generating digital models of crop yield based on crop planting dates and relative maturity values |
US10398096B2 (en) * | 2016-11-16 | 2019-09-03 | The Climate Corporation | Identifying management zones in agricultural fields and generating planting plans for the zones |
US10536164B2 (en) * | 2017-11-17 | 2020-01-14 | Adobe Inc. | Adapting image vectorization operations using machine learning |
US10679330B2 (en) * | 2018-01-15 | 2020-06-09 | Tata Consultancy Services Limited | Systems and methods for automated inferencing of changes in spatio-temporal images |
-
2019
- 2019-07-31 AU AU2019315506A patent/AU2019315506A1/en active Pending
- 2019-07-31 MX MX2021001256A patent/MX2021001256A/es unknown
- 2019-07-31 CN CN201980064934.2A patent/CN112889063A/zh active Pending
- 2019-07-31 EP EP19845113.0A patent/EP3830750A4/en active Pending
- 2019-07-31 US US16/528,476 patent/US20200042890A1/en not_active Abandoned
- 2019-07-31 WO PCT/US2019/044462 patent/WO2020028546A1/en unknown
- 2019-07-31 BR BR112021001667-8A patent/BR112021001667A2/pt unknown
- 2019-07-31 CA CA3108078A patent/CA3108078A1/en active Pending
- 2019-08-02 AR ARP190102212A patent/AR115908A1/es active IP Right Grant
Also Published As
Publication number | Publication date |
---|---|
WO2020028546A1 (en) | 2020-02-06 |
BR112021001667A2 (pt) | 2021-05-04 |
AR115908A1 (es) | 2021-03-10 |
US20200042890A1 (en) | 2020-02-06 |
CN112889063A (zh) | 2021-06-01 |
EP3830750A4 (en) | 2022-04-27 |
AU2019315506A1 (en) | 2021-03-11 |
EP3830750A1 (en) | 2021-06-09 |
CA3108078A1 (en) | 2020-02-06 |
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