MX2021001699A - Mejora de modelos digitales de nutrientes utilizando valores distribuidos espacialmente unicos para un campo agronomico. - Google Patents
Mejora de modelos digitales de nutrientes utilizando valores distribuidos espacialmente unicos para un campo agronomico.Info
- Publication number
- MX2021001699A MX2021001699A MX2021001699A MX2021001699A MX2021001699A MX 2021001699 A MX2021001699 A MX 2021001699A MX 2021001699 A MX2021001699 A MX 2021001699A MX 2021001699 A MX2021001699 A MX 2021001699A MX 2021001699 A MX2021001699 A MX 2021001699A
- Authority
- MX
- Mexico
- Prior art keywords
- nutrient
- value
- agronomic field
- residual
- locations
- Prior art date
Links
- 235000015097 nutrients Nutrition 0.000 title abstract 8
- 230000009418 agronomic effect Effects 0.000 title abstract 4
Classifications
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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
- A01C21/007—Determining fertilization requirements
-
- 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
-
- 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
- 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
- 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; CALCULATING OR 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
- 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; 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)
- 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)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Aviation & Aerospace Engineering (AREA)
- Computer Hardware Design (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Cultivation Of Plants (AREA)
Abstract
En una modalidad, una inteligencia agrícola recibe datos de campo agronómico para un campo agronómico, que comprende uno o más parámetros de entrada, valores de aplicación de nutriente, y valores de rendimiento medidos. El sistema utiliza un modelo digital de crecimiento de cultivo para calcular, para una pluralidad de ubicaciones en el campo, un valor de nutriente requerido que indica una cantidad requerida de nutriente para producir los valores de rendimiento medidos. El sistema identifica un subconjunto de la pluralidad de ubicaciones donde el valor de nutriente requerido calculado es mayor que el valor de aplicación de nutriente y calcula, para cada ubicación, un valor residual que comprende una diferencia entre el valor de nutriente requerido y el valor de aplicación de nutriente. El sistema genera un mapa residual que comprende los valores residuales. Utilizando el mapa residual y el uno o más parámetros de entrada para cada una de la pluralidad de ubicaciones, el sistema genera y almacena datos de corrección de modelo para el campo agronómico.
Applications Claiming Priority (2)
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 |
PCT/US2019/042835 WO2020036705A1 (en) | 2018-08-13 | 2019-07-22 | Improving digital nutrient models using spatially distributed values unique to an agronomic field |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2021001699A true MX2021001699A (es) | 2021-04-19 |
Family
ID=69404944
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2021001699A MX2021001699A (es) | 2018-08-13 | 2019-07-22 | Mejora de modelos digitales de nutrientes utilizando valores distribuidos espacialmente unicos para un campo agronomico. |
Country Status (9)
Country | Link |
---|---|
US (1) | US11596119B2 (es) |
EP (1) | EP3837589A4 (es) |
CN (1) | CN112889007A (es) |
AR (1) | AR115952A1 (es) |
AU (1) | AU2019322623A1 (es) |
BR (1) | BR112021002525A2 (es) |
CA (1) | CA3108712A1 (es) |
MX (1) | MX2021001699A (es) |
WO (1) | WO2020036705A1 (es) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
UA127601C2 (uk) * | 2016-11-01 | 2023-11-01 | Кінз Меньюфекчурінг, Інк. | Блоки керування, вузли, система і спосіб для передачі і обміну даними |
US20200349656A1 (en) * | 2019-05-02 | 2020-11-05 | Sentek Systems Llc | Process for sensing-based crop nutrient management using limiting-rate estimation and yield response prediction |
CN111727443B (zh) * | 2020-05-15 | 2023-10-31 | 安徽中科智能感知科技股份有限公司 | 一种基于深度神经网络的土壤速效养分反演方法 |
US20240169721A1 (en) * | 2021-03-31 | 2024-05-23 | Basf Agro Trademarks Gmbh | Computer-implemented method for providing corrected plant-related index data |
US20230206430A1 (en) * | 2021-12-27 | 2023-06-29 | Deere & Company | Crop yield component map |
US20230341586A1 (en) * | 2022-04-20 | 2023-10-26 | 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 |
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 |
BRPI0806559B1 (pt) | 2007-01-08 | 2018-04-10 | Precision Planting, Inc. | Sistema de monitor para semeadeira de sementes agrícolas |
WO2009149396A1 (en) | 2008-06-06 | 2009-12-10 | 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 |
ES2629517T3 (es) | 2012-07-25 | 2017-08-10 | Precision Planting Llc | Sistema y método para controlar y monitorizar un implemento agrícola multifila |
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 |
EP3322279B1 (en) * | 2015-07-15 | 2023-03-01 | Climate LLC | Generating digital models of nutrients available to a crop over the course of the crop's development based on weather and soil data |
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 |
EP4245126A3 (en) | 2016-10-24 | 2023-11-22 | 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 BR BR112021002525-1A patent/BR112021002525A2/pt unknown
- 2019-07-22 MX MX2021001699A patent/MX2021001699A/es unknown
- 2019-07-22 WO PCT/US2019/042835 patent/WO2020036705A1/en unknown
- 2019-07-22 EP EP19850333.6A patent/EP3837589A4/en active Pending
- 2019-07-22 AU AU2019322623A patent/AU2019322623A1/en active Pending
- 2019-07-22 CA CA3108712A patent/CA3108712A1/en active Pending
- 2019-07-22 CN CN201980067370.8A patent/CN112889007A/zh active Pending
- 2019-08-13 AR ARP190102308A patent/AR115952A1/es active IP Right Grant
Also Published As
Publication number | Publication date |
---|---|
WO2020036705A1 (en) | 2020-02-20 |
EP3837589A4 (en) | 2022-05-11 |
BR112021002525A2 (pt) | 2021-05-04 |
CA3108712A1 (en) | 2020-02-20 |
AU2019322623A1 (en) | 2021-03-18 |
AR115952A1 (es) | 2021-03-17 |
US20200045898A1 (en) | 2020-02-13 |
US11596119B2 (en) | 2023-03-07 |
CN112889007A (zh) | 2021-06-01 |
EP3837589A1 (en) | 2021-06-23 |
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