AR107534A1 - Modelación de tendencias en rendimiento de cultivos - Google Patents

Modelación de tendencias en rendimiento de cultivos

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Publication number
AR107534A1
AR107534A1 ARP170100281A ARP170100281A AR107534A1 AR 107534 A1 AR107534 A1 AR 107534A1 AR P170100281 A ARP170100281 A AR P170100281A AR P170100281 A ARP170100281 A AR P170100281A AR 107534 A1 AR107534 A1 AR 107534A1
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Argentina
Prior art keywords
performance data
data
yield
trends
disaggregated
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Application number
ARP170100281A
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English (en)
Inventor
Erik Andrejko
Sivan Aldor-Noiman
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Climate Corp
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Application filed by Climate Corp filed Critical Climate Corp
Publication of AR107534A1 publication Critical patent/AR107534A1/es

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    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/188—Vegetation
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2135—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/29—Graphical models, e.g. Bayesian 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/84—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/10—Numerical modelling

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
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  • Life Sciences & Earth Sciences (AREA)
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  • General Business, Economics & Management (AREA)
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  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Operations Research (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Primary Health Care (AREA)
  • Agronomy & Crop Science (AREA)
  • Animal Husbandry (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Mining & Mineral Resources (AREA)
  • Probability & Statistics with Applications (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Método y sistema para construir modelos de tendencias en el rendimiento de cultivos. En una forma de realización, el método comprende recibir, a través de una red de computación, datos digitales electrónicos que comprenden datos de rendimiento que representan los rendimientos de cultivos cosechados en una pluralidad de lotes agrícolas, y en una pluralidad de puntos temporales, como respuesta a la recepción de una solicitud de generación uno o más datos de rendimiento. El método comprende determinar uno o más factores que impactan en el rendimiento de los cultivos que se cosecharon de la pluralidad de lotes agrícolas, descomponer los datos de rendimiento en datos de rendimiento desagregados que identifican una o más dependencias de los datos según dichos uno o más factores; generar, en base a los datos de rendimiento desagregados, dichos uno o más datos de rendimiento particulares; generar datos de rendimiento pronosticados o reconstruir los datos de rendimiento incorporando dichos uno o más datos de rendimiento particulares a los datos de rendimiento.
ARP170100281A 2016-02-05 2017-02-03 Modelación de tendencias en rendimiento de cultivos AR107534A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US15/017,370 US10331931B2 (en) 2016-02-05 2016-02-05 Modeling trends in crop yields

Publications (1)

Publication Number Publication Date
AR107534A1 true AR107534A1 (es) 2018-05-09

Family

ID=59496608

Family Applications (1)

Application Number Title Priority Date Filing Date
ARP170100281A AR107534A1 (es) 2016-02-05 2017-02-03 Modelación de tendencias en rendimiento de cultivos

Country Status (9)

Country Link
US (2) US10331931B2 (es)
EP (2) EP3411802A4 (es)
AR (1) AR107534A1 (es)
AU (2) AU2017215188B2 (es)
BR (1) BR112018015688A2 (es)
CA (1) CA3013215C (es)
UA (1) UA125849C2 (es)
WO (1) WO2017136417A1 (es)
ZA (1) ZA201805388B (es)

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US20200005401A1 (en) * 2018-07-02 2020-01-02 The Climate Corporation Optimal placement and portfolio opportunity targeting
WO2020022215A1 (ja) * 2018-07-27 2020-01-30 キヤノン株式会社 情報処理装置、情報処理方法及びプログラム
JP2020024672A (ja) * 2018-07-27 2020-02-13 キヤノン株式会社 情報処理装置、情報処理方法及びプログラム
US11861737B1 (en) * 2018-08-31 2024-01-02 Climate Llc Hybrid seed supply management based on prescription of hybrid seed placement
US10993365B2 (en) * 2018-09-11 2021-05-04 The Climate Corporation Risk-adjusted hybrid seed selection and crop yield optimization by field
WO2020132092A1 (en) * 2018-12-19 2020-06-25 The Board Of Trustees Of The University Of Illinois Apparatus and method for crop yield prediction
WO2021030949A1 (en) * 2019-08-16 2021-02-25 Honeywell International Inc. Systems and methods for energy harvesting and use in support of monitored processes and devices
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JP7314825B2 (ja) * 2020-02-07 2023-07-26 横河電機株式会社 予測装置、予測システム、及び予測方法
CN111401613A (zh) * 2020-03-06 2020-07-10 黑龙江力苗科技开发有限公司 一种温室作物产量预报方法
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CN113111799B (zh) * 2021-04-19 2024-01-30 北华航天工业学院 一种基于集合经验模态分解的耕地土壤肥力水平监测方法
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Also Published As

Publication number Publication date
AU2021258100A1 (en) 2021-11-25
US20190311170A1 (en) 2019-10-10
CA3013215C (en) 2021-11-30
ZA201805388B (en) 2020-05-27
UA125849C2 (uk) 2022-06-22
EP3411802A1 (en) 2018-12-12
US11361184B2 (en) 2022-06-14
AU2017215188B2 (en) 2021-07-29
AU2017215188A1 (en) 2018-08-23
US20170228475A1 (en) 2017-08-10
WO2017136417A1 (en) 2017-08-10
EP3411802A4 (en) 2019-06-19
CA3013215A1 (en) 2017-08-10
EP3862944A1 (en) 2021-08-11
BR112018015688A2 (pt) 2018-12-26
US10331931B2 (en) 2019-06-25

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