AR115908A1 - Predicción automática de rendimientos y recomendación de densidades de siembra en base a datos meteorológicos - Google Patents
Predicción automática de rendimientos y recomendación de densidades de siembra en base a datos meteorológicosInfo
- Publication number
- AR115908A1 AR115908A1 ARP190102212A ARP190102212A AR115908A1 AR 115908 A1 AR115908 A1 AR 115908A1 AR P190102212 A ARP190102212 A AR P190102212A AR P190102212 A ARP190102212 A AR P190102212A AR 115908 A1 AR115908 A1 AR 115908A1
- Authority
- AR
- Argentina
- Prior art keywords
- sublot
- list
- yields
- densities
- recommendation
- 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—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
-
- 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
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- 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
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- 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]
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- 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
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- 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
Un método implementado por computadora para predecir el rendimiento y recomendar densidades de siempre para sublotes, con información de riesgos. El método comprende recibir, mediante un procesador, los datos meteorológicos para un primer período que consisten en una pluralidad de subperíodos para uno o más sublotes de un lote. Para cada uno de la pluralidad de subperíodos para dicho sublote se realizan los siguientes pasos: calcular un indicador de estrés de humedad a partir de los datos meteorológicos; predecir para cada una de una lista de densidades de siembra, un rendimiento según el indicador de estrés de humedad usando un modelo entrenando; y seleccionar una de una lista de densidades de siembre en base a la lista de rendimientos pronosticados; identificar uno de los rendimientos pronosticados correspondiente a la densidad de siembra seleccionada; determinar, mediante el procesador, un perfil de riesgo asociado con un rango de rendimientos para un sublote en base a los rendimientos pronosticados identificados para la pluralidad de subperíodos; transmitir los datos relacionados con el perfil de riesgo a un dispositivo asociado con dicho sublote.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862714052P | 2018-08-02 | 2018-08-02 |
Publications (1)
Publication Number | Publication Date |
---|---|
AR115908A1 true AR115908A1 (es) | 2021-03-10 |
Family
ID=69228905
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
ARP190102212A AR115908A1 (es) | 2018-08-02 | 2019-08-02 | Predicción automática de rendimientos y recomendación de densidades de siembra en base a datos meteorológicos |
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 |
---|---|---|---|---|
BR112021007032A2 (pt) | 2018-10-24 | 2021-07-20 | The Climate Corporation | alavancando a genética e a engenharia de recursos para impulsionar a previsibilidade de colocação para seleção e recomendação de produtos de sementes por campo |
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 |
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 |
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 |
US11720724B2 (en) | 2020-02-14 | 2023-08-08 | Cibo Technologies, Inc. | Method and apparatus for generation of land parcel valuation tailored for use |
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 |
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 |
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 |
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 |
US20220301080A1 (en) * | 2021-03-19 | 2022-09-22 | Climate Llc | Determining uncertainty of agronomic predictions |
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 |
WO2016127094A1 (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 CN CN201980064934.2A patent/CN112889063A/zh active Pending
- 2019-07-31 WO PCT/US2019/044462 patent/WO2020028546A1/en unknown
- 2019-07-31 CA CA3108078A patent/CA3108078A1/en active Pending
- 2019-07-31 EP EP19845113.0A patent/EP3830750A4/en active Pending
- 2019-07-31 MX MX2021001256A patent/MX2021001256A/es unknown
- 2019-07-31 US US16/528,476 patent/US20200042890A1/en not_active Abandoned
- 2019-07-31 AU AU2019315506A patent/AU2019315506A1/en active Pending
- 2019-07-31 BR BR112021001667-8A patent/BR112021001667A2/pt unknown
- 2019-08-02 AR ARP190102212A patent/AR115908A1/es active IP Right Grant
Also Published As
Publication number | Publication date |
---|---|
CA3108078A1 (en) | 2020-02-06 |
EP3830750A4 (en) | 2022-04-27 |
WO2020028546A1 (en) | 2020-02-06 |
EP3830750A1 (en) | 2021-06-09 |
MX2021001256A (es) | 2021-04-12 |
CN112889063A (zh) | 2021-06-01 |
BR112021001667A2 (pt) | 2021-05-04 |
US20200042890A1 (en) | 2020-02-06 |
AU2019315506A1 (en) | 2021-03-11 |
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