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AR110850A1 - Estimación del rendimiento del cultivo con una red neuronal agronómica - Google Patents

Estimación del rendimiento del cultivo con una red neuronal agronómica

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Publication number
AR110850A1
AR110850A1 ARP180100171A ARP180100171A AR110850A1 AR 110850 A1 AR110850 A1 AR 110850A1 AR P180100171 A ARP180100171 A AR P180100171A AR P180100171 A ARP180100171 A AR P180100171A AR 110850 A1 AR110850 A1 AR 110850A1
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Argentina
Prior art keywords
crop
effect
server
data
computing system
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ARP180100171A
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English (en)
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Erik Andrejko
Wei Guan
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Climate Corp
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Publication of AR110850A1 publication Critical patent/AR110850A1/es

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    • G06Q10/00Administration; Management
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
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    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/044Recurrent networks, e.g. Hopfield networks
    • G06N3/0442Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01BSOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
    • A01B79/00Methods for working soil
    • A01B79/005Precision agriculture
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/12Computing arrangements based on biological models using genetic models
    • G06N3/126Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations

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  • Engineering & Computer Science (AREA)
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  • Primary Health Care (AREA)
  • Mining & Mineral Resources (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Animal Husbandry (AREA)
  • Agronomy & Crop Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Environmental Sciences (AREA)

Abstract

Un sistema de computación tipo servidor recibe un conjunto de datos específicos relacionados con uno o más lotes agrícolas, en donde el conjunto de datos específicos comprende datos de identificación del cultivo particulares, datos del medio ambiente particulares y datos de prácticas de gestión particulares. Mediante el uso de una primera red neuronal, el sistema de computación tipo servidor calcula un efecto de identificación del cultivo sobre el rendimiento del cultivo a partir de los datos de identificación del cultivo particulares. Mediante el uso de una segunda red neuronal, el sistema de computación tipo servidor calcula un efecto del medio ambiente sobre el rendimiento del cultivo a partir de los datos del medio ambiente particulares. Mediante el uso de una tercera red neuronal, el sistema de computación tipo servidor calcula un efecto de las prácticas de gestión sobre el rendimiento del cultivo a partir de los datos de prácticas de gestión particulares. Mediante el uso de una red neuronal maestra, el sistema de computación tipo servidor calcula uno o más valores de rendimiento predichos a partir del efecto de identificación del cultivo sobre el rendimiento del cultivo, el efecto del medio ambiente sobre el rendimiento del cultivo y el efecto de las prácticas de gestión sobre el rendimiento del cultivo.
ARP180100171A 2017-01-26 2018-01-25 Estimación del rendimiento del cultivo con una red neuronal agronómica AR110850A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US15/416,694 US10699185B2 (en) 2017-01-26 2017-01-26 Crop yield estimation using agronomic neural network

Publications (1)

Publication Number Publication Date
AR110850A1 true AR110850A1 (es) 2019-05-08

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Family Applications (1)

Application Number Title Priority Date Filing Date
ARP180100171A AR110850A1 (es) 2017-01-26 2018-01-25 Estimación del rendimiento del cultivo con una red neuronal agronómica

Country Status (6)

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US (2) US10699185B2 (es)
EP (1) EP3574467A4 (es)
AR (1) AR110850A1 (es)
BR (1) BR112019015401A8 (es)
CA (1) CA3051358A1 (es)
WO (1) WO2018140225A1 (es)

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