AR115952A1 - Un método para mejorar la precisión de modelos digitales de crecimiento de cultivo utilizando valores distribuidos espacialmente únicos para un lote agrícola - Google Patents
Un método para mejorar la precisión de modelos digitales de crecimiento de cultivo utilizando valores distribuidos espacialmente únicos para un lote agrícolaInfo
- Publication number
- AR115952A1 AR115952A1 ARP190102308A ARP190102308A AR115952A1 AR 115952 A1 AR115952 A1 AR 115952A1 AR P190102308 A ARP190102308 A AR P190102308A AR P190102308 A ARP190102308 A AR P190102308A AR 115952 A1 AR115952 A1 AR 115952A1
- Authority
- AR
- Argentina
- Prior art keywords
- agricultural
- value
- nutrients
- lot
- values
- Prior art date
Links
Classifications
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G25/00—Watering gardens, fields, sports grounds or the like
- A01G25/16—Control of watering
- A01G25/167—Control by humidity of the soil itself or of devices simulating soil or of the atmosphere; Soil humidity sensors
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C21/00—Methods of fertilising, sowing or planting
- A01C21/007—Determining fertilization requirements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
- G01C21/30—Map- or contour-matching
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/041—Function-oriented details
- G05B19/0415—Function-oriented details adapting phase duration according to measured parameters
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
- G05D1/0278—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle using satellite positioning signals, e.g. GPS
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01B—SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
- A01B79/00—Methods for working soil
- A01B79/005—Precision agriculture
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
- G05B23/0254—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Automation & Control Theory (AREA)
- Soil Sciences (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Environmental Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Software Systems (AREA)
- Medical Informatics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Aviation & Aerospace Engineering (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Cultivation Of Plants (AREA)
Abstract
Una inteligencia agrícola que recibe datos agrícolas del lote para un lote agrícola que comprende uno o más parámetros de entrada, valores de la aplicación de nutrientes y valores de rendimiento medidos. El sistema utiliza un modelo digital de crecimiento del cultivo para calcular, para una pluralidad de ubicaciones en el lote, un valor requerido de nutrientes que indica una cantidad requerida de nutrientes para producir los valores de rendimiento medidos. El sistema identifica un subconjunto de la pluralidad de ubicaciones donde el valor requerido de nutrientes calculado es mayor que el valor de la aplicación de nutrientes y calcula para cada ubicación, un valor residual que comprende una diferencia entre el valor requerido de nutrientes y el valor de la aplicación de nutrientes. El sistema genera un mapa residual que comprende los valores residuales. Mediante el uso del mapa residual y los uno o más parámetros de entrada para cada una de la pluralidad de ubicaciones, el sistema genera y almacena los datos de corrección del modelo para el lote agrícola.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/102,577 US11596119B2 (en) | 2018-08-13 | 2018-08-13 | Digital nutrient models using spatially distributed values unique to an agronomic field |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AR115952A1 true AR115952A1 (es) | 2021-03-17 |
Family
ID=69404944
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| ARP190102308A AR115952A1 (es) | 2018-08-13 | 2019-08-13 | Un método para mejorar la precisión de modelos digitales de crecimiento de cultivo utilizando valores distribuidos espacialmente únicos para un lote agrícola |
Country Status (9)
| Country | Link |
|---|---|
| US (1) | US11596119B2 (es) |
| EP (1) | EP3837589B1 (es) |
| CN (1) | CN112889007B (es) |
| AR (1) | AR115952A1 (es) |
| AU (1) | AU2019322623B2 (es) |
| BR (1) | BR112021002525A2 (es) |
| CA (1) | CA3108712A1 (es) |
| MX (1) | MX2021001699A (es) |
| WO (1) | WO2020036705A1 (es) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2718991C1 (ru) * | 2016-11-01 | 2020-04-15 | Кинз Мэньюфэкчуринг, Инк. | Блоки управления, узлы, система и способ для передачи и обмена данными |
| US12450669B2 (en) * | 2019-05-02 | 2025-10-21 | Sentek Systems Llc | Process for sensing-based crop nutrient management using limiting-rate estimation and yield response prediction |
| CA3162410A1 (en) * | 2019-12-11 | 2021-06-17 | Climate Llc | Highly responsive farming systems with extraordinary in-season optimization |
| WO2021226976A1 (zh) * | 2020-05-15 | 2021-11-18 | 安徽中科智能感知产业技术研究院有限责任公司 | 一种基于深度神经网络的土壤速效养分反演方法 |
| JP2024513823A (ja) * | 2021-03-31 | 2024-03-27 | ビーエーエスエフ アグロ トレードマークス ゲーエムベーハー | 修正された植物関連指数データを提供するためのコンピュータ実装方法 |
| EP4162783A1 (en) * | 2021-10-07 | 2023-04-12 | Yara International ASA | Method and system for providing a site specific fertilizer recommendation |
| US12067718B2 (en) * | 2021-12-27 | 2024-08-20 | Deere & Company | Crop yield component map |
| US12153189B2 (en) * | 2022-04-20 | 2024-11-26 | Deere & Company | Method and system for mapping cut crop moisture in a field |
| CN115486247B (zh) * | 2022-08-30 | 2023-08-22 | 中联智慧农业股份有限公司 | 用于确定肥料配比的方法、存储介质及处理器 |
| EP4338565A1 (en) * | 2022-09-14 | 2024-03-20 | Yara International ASA | Method and system for determining a measurement region |
| JPWO2024154398A1 (es) * | 2023-01-19 | 2024-07-25 | ||
| US20250098582A1 (en) * | 2023-09-21 | 2025-03-27 | Deere & Company | End-of-season stalk nitrate sensor |
| DE102024118934A1 (de) * | 2024-07-03 | 2026-01-08 | Claas Saulgau Gmbh | Verfahren zum Ernten von Pflanzenmaterial |
Family Cites Families (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6889620B2 (en) * | 2001-02-28 | 2005-05-10 | The Mosaic Company | Method for prescribing site-specific fertilizer application in agricultural fields |
| ES2627181T5 (es) | 2007-01-08 | 2021-01-11 | Climate Corp | Sistema y método de monitorización de plantadora |
| US8411903B2 (en) | 2008-06-06 | 2013-04-02 | Monsanto Technology Llc | Generating agricultural information products using remote sensing |
| US8477295B2 (en) | 2009-05-07 | 2013-07-02 | Solum, Inc. | Automated soil measurement device |
| US10115158B2 (en) | 2010-10-25 | 2018-10-30 | Trimble Inc. | Generating a crop recommendation |
| US10096073B2 (en) * | 2011-05-13 | 2018-10-09 | The Climate Corporation | Systems to prescribe and deliver fertilizer over agricultural fields and related methods |
| LT3259972T (lt) | 2012-07-25 | 2022-01-25 | Precision Planting Llc | Daugiaeilio žemės ūkio padargo valdymo bei stebėsenos sistema ir būdas |
| CN103927685A (zh) * | 2014-04-23 | 2014-07-16 | 广西力源宝科技有限公司 | 农（林）业智能施肥系统 |
| US9519861B1 (en) * | 2014-09-12 | 2016-12-13 | The Climate Corporation | Generating digital models of nutrients available to a crop over the course of the crop's development based on weather and soil data |
| US9652840B1 (en) * | 2014-10-30 | 2017-05-16 | AgriSight, Inc. | System and method for remote nitrogen monitoring and prescription |
| US20160309646A1 (en) * | 2015-04-24 | 2016-10-27 | 360 Yield Center, Llc | Agronomic systems, methods and apparatuses |
| PL3322279T3 (pl) * | 2015-07-15 | 2023-07-17 | Climate Llc | Generowanie modeli cyfrowych składników odżywczych dostępnych dla uprawy w trakcie rozwoju uprawy na podstawie danych pogodowych i glebowych |
| 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 |
| US10275550B2 (en) | 2016-04-27 | 2019-04-30 | The Climate Corporation | Assimilating a soil sample into a digital nutrient model |
| CN206115670U (zh) * | 2016-08-10 | 2017-04-19 | 民政部国家减灾中心 | 一种自动化分析作物产量影响因素的系统 |
| WO2018049289A1 (en) * | 2016-09-09 | 2018-03-15 | Cibo Technologies, Inc. | Systems for adjusting agronomic inputs using remote sensing, and related apparatus and methods |
| EP4245126B1 (en) | 2016-10-24 | 2025-09-24 | Board of Trustees of Michigan State University | Method for mapping temporal and spatial sustainability of a cropping system |
| US11263707B2 (en) * | 2017-08-08 | 2022-03-01 | Indigo Ag, Inc. | Machine learning in agricultural planting, growing, and harvesting contexts |
-
2018
- 2018-08-13 US US16/102,577 patent/US11596119B2/en active Active
-
2019
- 2019-07-22 CN CN201980067370.8A patent/CN112889007B/zh active Active
- 2019-07-22 AU AU2019322623A patent/AU2019322623B2/en active Active
- 2019-07-22 WO PCT/US2019/042835 patent/WO2020036705A1/en not_active Ceased
- 2019-07-22 MX MX2021001699A patent/MX2021001699A/es unknown
- 2019-07-22 EP EP19850333.6A patent/EP3837589B1/en active Active
- 2019-07-22 BR BR112021002525-1A patent/BR112021002525A2/pt unknown
- 2019-07-22 CA CA3108712A patent/CA3108712A1/en active Pending
- 2019-08-13 AR ARP190102308A patent/AR115952A1/es active IP Right Grant
Also Published As
| Publication number | Publication date |
|---|---|
| EP3837589A1 (en) | 2021-06-23 |
| US20200045898A1 (en) | 2020-02-13 |
| BR112021002525A2 (pt) | 2021-05-04 |
| EP3837589A4 (en) | 2022-05-11 |
| AU2019322623A1 (en) | 2021-03-18 |
| WO2020036705A1 (en) | 2020-02-20 |
| CN112889007A (zh) | 2021-06-01 |
| US11596119B2 (en) | 2023-03-07 |
| CA3108712A1 (en) | 2020-02-20 |
| AU2019322623B2 (en) | 2025-03-06 |
| EP3837589C0 (en) | 2025-05-28 |
| EP3837589B1 (en) | 2025-05-28 |
| MX2021001699A (es) | 2021-04-19 |
| CN112889007B (zh) | 2024-08-20 |
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| Date | Code | Title | Description |
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| FG | Grant, registration |