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AR116849A1 - Sistemas y métodos para la identificación y el uso de ubicaciones de prueba en campos agrícolas - Google Patents

Sistemas y métodos para la identificación y el uso de ubicaciones de prueba en campos agrícolas

Info

Publication number
AR116849A1
AR116849A1 ARP190103078A ARP190103078A AR116849A1 AR 116849 A1 AR116849 A1 AR 116849A1 AR P190103078 A ARP190103078 A AR P190103078A AR P190103078 A ARP190103078 A AR P190103078A AR 116849 A1 AR116849 A1 AR 116849A1
Authority
AR
Argentina
Prior art keywords
locations
test
implement
systems
methods
Prior art date
Application number
ARP190103078A
Other languages
English (en)
Inventor
Daniel Williams
Moslem Ladoni
Nicholas Cizek
Original Assignee
Climate Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Climate Corp filed Critical Climate Corp
Publication of AR116849A1 publication Critical patent/AR116849A1/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01C—PLANTING; SOWING; FERTILISING
    • A01C21/00—Methods of fertilising, sowing or planting
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • 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
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Business, Economics & Management (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Soil Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • General Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Environmental Sciences (AREA)
  • Marketing (AREA)
  • Biomedical Technology (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Molecular Biology (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Mechanical Engineering (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • Genetics & Genomics (AREA)
  • Primary Health Care (AREA)
  • Physiology (AREA)
  • Mining & Mineral Resources (AREA)

Abstract

Se proporcionan sistemas y métodos para implementar una prueba en uno o más campos. De acuerdo con una realización, un sistema de computadora de inteligencia agrícola identifica una multitud de grupos de ubicaciones adyacentes en un campo y computa un valor de diferencia entre las ubicaciones. El sistema usa los diferentes valores de la multitud de grupos de ubicaciones adyacentes para determinar un puntaje de variabilidad de longitud corta. Luego, el sistema puede usar el puntaje de variabilidad de longitud corta para identificar campos para implementar una prueba y/o ubicaciones dentro de un campo para implementar la prueba. En realizaciones, el sistema usa una superposición de cuadrículas que el sistema orienta de acuerdo con información de cabecera recibida desde implementos agrícolas. En realizaciones, el sistema altera la superposición de cuadrículas para aumentar el número de ubicaciones de pruebas en el campo agrícola y/o dentro de distintas zonas de gestión.
ARP190103078A 2018-10-24 2019-10-24 Sistemas y métodos para la identificación y el uso de ubicaciones de prueba en campos agrícolas AR116849A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US201862750181P 2018-10-24 2018-10-24

Publications (1)

Publication Number Publication Date
AR116849A1 true AR116849A1 (es) 2021-06-16

Family

ID=70328057

Family Applications (1)

Application Number Title Priority Date Filing Date
ARP190103078A AR116849A1 (es) 2018-10-24 2019-10-24 Sistemas y métodos para la identificación y el uso de ubicaciones de prueba en campos agrícolas

Country Status (7)

Country Link
US (1) US20200128720A1 (es)
EP (1) EP3869933A4 (es)
CN (1) CN113163710B (es)
AR (1) AR116849A1 (es)
AU (1) AU2019365211B2 (es)
CA (1) CA3114934A1 (es)
WO (1) WO2020086738A1 (es)

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EP4224628A3 (en) * 2019-03-04 2023-09-13 Climate LLC Data storage and transfer device for an agricultural intelligence computing system
CA3095393A1 (en) 2019-10-11 2021-04-11 Matergenics, Inc. Atmospheric corrosivity mapping method and apparatus
BR112022023870A2 (pt) * 2020-05-29 2022-12-20 Basf Agro Trademarks Gmbh Método para tratamento de um campo agrícola e dispositivo de tratamento para tratamento de um campo agrícola
CN113741597B (zh) * 2021-09-03 2022-04-12 安徽中昆绿色防控科技有限公司 农林诱虫测报智能控制系统
EP4568471A1 (en) * 2022-08-11 2025-06-18 Deere & Company Systems and methods for predictive harvesting logistics
EP4609347A1 (en) * 2022-10-27 2025-09-03 BASF Digital Farming GmbH Application of an agricultural product
CN116778319A (zh) * 2023-05-31 2023-09-19 四川省烟草公司广元市公司 一种基于无人机遥感与高光谱采集相结合的烟草产量预估方法
CN116784041B (zh) * 2023-07-26 2024-03-19 上海联适导航技术股份有限公司 一种基准高自动设定与调整的整平、整坡方法
CN117079143A (zh) * 2023-10-16 2023-11-17 南京佳格耕耘科技有限公司 基于遥感数据的农田动态监测系统
HUP2300405A1 (hu) * 2023-11-24 2025-05-28 Kite Mezoegazdasagi Szolgaltato Es Kereskedelmi Zartkoerueen Muekoedoe Reszvenytarsasag Eljárás nagy pontosságú precíziós elõírástérképek készítéséhez szántóföldi mûvelésbe vont földterületekhez
CN118114957A (zh) * 2024-04-30 2024-05-31 四川众瓴数字科技有限公司 一种基于数字技术的农田建设质量监管方法

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US6505146B1 (en) * 1999-09-24 2003-01-07 Monsanto Company Method and system for spatial evaluation of field and crop performance
US7103451B2 (en) * 2002-08-19 2006-09-05 Intime, Inc. Method and system for spatially variable rate application of agricultural chemicals based on remotely sensed vegetation data
US6813544B2 (en) * 2002-08-19 2004-11-02 Institute Of Technology Development Method and apparatus for spatially variable rate application of agricultural chemicals based on remotely sensed vegetation data
US7983446B2 (en) * 2003-07-18 2011-07-19 Lockheed Martin Corporation Method and apparatus for automatic object identification
CN103930919A (zh) * 2011-10-24 2014-07-16 天宝导航有限公司 农业和土壤管理
CN103294905B (zh) * 2013-05-20 2016-02-10 北京农业信息技术研究中心 面向对象的农作物播期监测方法
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Also Published As

Publication number Publication date
EP3869933A1 (en) 2021-09-01
AU2019365211B2 (en) 2025-04-24
CA3114934A1 (en) 2020-04-30
EP3869933A4 (en) 2022-09-14
US20200128720A1 (en) 2020-04-30
BR112021006110A2 (pt) 2021-07-20
AU2019365211A1 (en) 2021-05-27
CN113163710B (zh) 2023-07-25
CN113163710A (zh) 2021-07-23
WO2020086738A1 (en) 2020-04-30

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