AR117512A1 - Secuencias de comandos para semillas predictivos para la soja - Google Patents
Secuencias de comandos para semillas predictivos para la sojaInfo
- Publication number
- AR117512A1 AR117512A1 ARP190103861A ARP190103861A AR117512A1 AR 117512 A1 AR117512 A1 AR 117512A1 AR P190103861 A ARP190103861 A AR P190103861A AR P190103861 A ARP190103861 A AR P190103861A AR 117512 A1 AR117512 A1 AR 117512A1
- Authority
- AR
- Argentina
- Prior art keywords
- target
- subfield
- group
- server
- field
- Prior art date
Links
- 235000010469 Glycine max Nutrition 0.000 title 1
- 244000068988 Glycine max Species 0.000 title 1
- 238000000034 method Methods 0.000 abstract 2
- 238000010899 nucleation Methods 0.000 abstract 2
Classifications
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- 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
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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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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- 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
- 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
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/188—Vegetation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/68—Food, e.g. fruit or vegetables
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Soil Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Animal Husbandry (AREA)
- Primary Health Care (AREA)
- Agronomy & Crop Science (AREA)
- Environmental Sciences (AREA)
- Multimedia (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Se proporcionan un método y un aparato para ajustar la densidad de siembra al nivel de subcampos. El método comprende la identificación, mediante una computadora servidor, de un grupo de campos agrícolas diana con variabilidad de cultivos intracampos con base en datos agrícolas históricos que comprende datos de rendimiento históricos y datos agrícolas históricos observados para una pluralidad de campos; la recepción, mediante una red de comunicación de datos digitales en el servidor, de una pluralidad de imágenes digitales del grupo de campos agrícolas diana; la determinación, mediante el servidor, de valores índice de vegetación para ubicaciones geográficas dentro de cada campo del grupo de campos agrícolas diana, usando subgrupos de la pluralidad de imágenes digitales, donde cada subgrupo entre los subgrupos de la pluralidad de imágenes digitales corresponde a un campo diana específico en el grupo de campos agrícolas diana; la determinación, para cada campo diana en el grupo de campos agrícolas diana y usando el servidor, una pluralidad de zonas subcampo con base en los valores índice de vegetación para ubicaciones geográficas dentro de cada campo diana, donde cada zona subcampo de la pluralidad de zonas de subcampo contiene valores índice de vegetación similares; la determinación, con el servidor, de puntajes de productividad del índice de vegetación para cada zona subcampo de cada campo diana en el grupo de campos agrícolas, donde los puntajes de productividad del índice de vegetación representan una productividad del cultivo relativa específica a un tipo de semilla sembrada dentro de las zonas de subcampos correspondientes; la recepción, mediante una red de comunicación de datos digitales en el servidor, de la densidad de siembra actual para cada una de las zonas de subcampos del grupo de campos agrícolas diana; la determinación, mediante el servidor, de la densidad de siembra ajustada para cada uno de los subcampos del grupo de campos agrícolas diana mediante el ajuste de la densidad de siembra actual, usando los puntajes de productividad del índice de vegetación correspondiente para cada una de las zonas de subcampos; el envío de la densidad de siembra ajustada para cada una de las zonas de subcampo de cada uno de los campos agrícolas diana a un dispositivo de cálculo para la gestión de campos.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862784625P | 2018-12-24 | 2018-12-24 |
Publications (1)
Publication Number | Publication Date |
---|---|
AR117512A1 true AR117512A1 (es) | 2021-08-11 |
Family
ID=71098956
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
ARP190103861A AR117512A1 (es) | 2018-12-24 | 2019-12-23 | Secuencias de comandos para semillas predictivos para la soja |
Country Status (9)
Country | Link |
---|---|
US (1) | US20200202458A1 (es) |
EP (1) | EP3902386A4 (es) |
CN (1) | CN113226009B (es) |
AR (1) | AR117512A1 (es) |
AU (1) | AU2019417596A1 (es) |
BR (1) | BR112021010533A2 (es) |
CA (1) | CA3121647A1 (es) |
MX (1) | MX2021007642A (es) |
WO (1) | WO2020139781A1 (es) |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10878967B1 (en) * | 2020-02-21 | 2020-12-29 | Advanced Agrilytics Holdings, Llc | Methods and systems for environmental matching |
US11845449B2 (en) * | 2020-10-09 | 2023-12-19 | Deere & Company | Map generation and control system |
US11874669B2 (en) * | 2020-10-09 | 2024-01-16 | Deere & Company | Map generation and control system |
CN113378793A (zh) * | 2021-07-09 | 2021-09-10 | 北京京东乾石科技有限公司 | 一种农作物产量预测方法和装置 |
CN114332461B (zh) * | 2021-12-29 | 2023-03-24 | 江苏业派生物科技有限公司 | 智慧农业用虫害远程检测系统及方法 |
CN116584316A (zh) * | 2023-06-19 | 2023-08-15 | 广东省农业科学院农业生物基因研究中心 | 一种用于筛选地区农作物种质资源的方法 |
CN117726194B (zh) * | 2024-02-07 | 2024-05-07 | 安徽农业大学 | 一种基于大数据的林业环境分析系统 |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4009441B2 (ja) * | 2001-08-08 | 2007-11-14 | 株式会社日立製作所 | 作物育成評価システム |
US20140277959A1 (en) * | 2013-03-15 | 2014-09-18 | Jesse L. Wagers | Multi-seed planter control system and method for the same |
SE537880C2 (sv) * | 2013-11-04 | 2015-11-10 | Väderstad Verken Ab | Ett system och metod hos en jordbruksmaskin för att optimeraarbetskapacitet |
US10564316B2 (en) * | 2014-09-12 | 2020-02-18 | The Climate Corporation | Forecasting national crop yield during the growing season |
US11113649B2 (en) * | 2014-09-12 | 2021-09-07 | The Climate Corporation | Methods and systems for recommending agricultural activities |
US10667456B2 (en) * | 2014-09-12 | 2020-06-02 | The Climate Corporation | Methods and systems for managing agricultural activities |
US10028426B2 (en) * | 2015-04-17 | 2018-07-24 | 360 Yield Center, Llc | Agronomic systems, methods and apparatuses |
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 |
CN205373764U (zh) * | 2016-01-07 | 2016-07-06 | 陕西国际商贸学院 | 一种农产品信息系统 |
US10467540B2 (en) * | 2016-06-02 | 2019-11-05 | The Climate Corporation | Estimating confidence bounds for rainfall adjustment values |
US10028451B2 (en) * | 2016-11-16 | 2018-07-24 | The Climate Corporation | Identifying management zones in agricultural fields and generating planting plans for the zones |
US10398096B2 (en) * | 2016-11-16 | 2019-09-03 | The Climate Corporation | Identifying management zones in agricultural fields and generating planting plans for the zones |
US11263707B2 (en) * | 2017-08-08 | 2022-03-01 | Indigo Ag, Inc. | Machine learning in agricultural planting, growing, and harvesting contexts |
CN107733321B (zh) * | 2017-10-26 | 2020-09-25 | 江苏大学 | 一种播种机监控系统和监控方法 |
US20200005166A1 (en) * | 2018-07-02 | 2020-01-02 | The Climate Corporation | Automatically assigning hybrids or seeds to fields for planting |
-
2019
- 2019-12-20 WO PCT/US2019/068064 patent/WO2020139781A1/en unknown
- 2019-12-20 CN CN201980085486.4A patent/CN113226009B/zh active Active
- 2019-12-20 EP EP19902717.8A patent/EP3902386A4/en not_active Withdrawn
- 2019-12-20 AU AU2019417596A patent/AU2019417596A1/en active Pending
- 2019-12-20 BR BR112021010533-6A patent/BR112021010533A2/pt unknown
- 2019-12-20 CA CA3121647A patent/CA3121647A1/en active Pending
- 2019-12-20 US US16/723,728 patent/US20200202458A1/en active Pending
- 2019-12-20 MX MX2021007642A patent/MX2021007642A/es unknown
- 2019-12-23 AR ARP190103861A patent/AR117512A1/es active IP Right Grant
Also Published As
Publication number | Publication date |
---|---|
AU2019417596A1 (en) | 2021-07-15 |
EP3902386A1 (en) | 2021-11-03 |
MX2021007642A (es) | 2021-08-11 |
CN113226009B (zh) | 2023-06-23 |
BR112021010533A2 (pt) | 2021-08-24 |
CN113226009A (zh) | 2021-08-06 |
CA3121647A1 (en) | 2020-07-02 |
WO2020139781A1 (en) | 2020-07-02 |
EP3902386A4 (en) | 2022-09-28 |
US20200202458A1 (en) | 2020-06-25 |
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Legal Events
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