BR112022009590A2 - Uso de sensores remotos óticos e modelos de aprendizado de máquina para predizer dados de propriedade de campo agronômico - Google Patents

Uso de sensores remotos óticos e modelos de aprendizado de máquina para predizer dados de propriedade de campo agronômico

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Publication number
BR112022009590A2
BR112022009590A2 BR112022009590A BR112022009590A BR112022009590A2 BR 112022009590 A2 BR112022009590 A2 BR 112022009590A2 BR 112022009590 A BR112022009590 A BR 112022009590A BR 112022009590 A BR112022009590 A BR 112022009590A BR 112022009590 A2 BR112022009590 A2 BR 112022009590A2
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BR
Brazil
Prior art keywords
agronomic
property data
field property
machine learning
predict
Prior art date
Application number
BR112022009590A
Other languages
English (en)
Inventor
Casas Angeles
Yang Xiaoyuan
Jin Kim Ho
Ward Steven
Original Assignee
Climate Llc
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Publication date
Application filed by Climate Llc filed Critical Climate Llc
Publication of BR112022009590A2 publication Critical patent/BR112022009590A2/pt

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • 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

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Tourism & Hospitality (AREA)
  • Computational Linguistics (AREA)
  • Educational Administration (AREA)
  • Animal Husbandry (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Agronomy & Crop Science (AREA)
  • Operations Research (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Mining & Mineral Resources (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Analysis (AREA)
  • Photometry And Measurement Of Optical Pulse Characteristics (AREA)

Abstract

USO DE SENSORES REMOTOS ÓTICOS E MODELOS DE APRENDIZADO DE MÁQUINA PARA PRENDIZER DADOS DE PROPRIEDADE DE CAMPO AGRONÔMICO. A presente invenção refere-se a um método implementado por computador para predizer dados de propriedade de campo agronômico para um ou mais campos agronômicos utilizando um modelo de aprendizado de máquina treinado. O método compreende receber, em um sistema de computador de inteligência agrícola, dados de treinamento agronômico; treinar um modelo de aprendizado de máquina, no sistema de computador de inteligência agrícola, utilizando os dados de treinamento agronômico; em resposta a receber uma solicitação de um dispositivo de computação de cliente para dados de propriedade de campo agronômico para um ou mais campos agronômicos, automaticamente predizer os dados de propriedade de campo agronômico para os um ou mais campos agronômicos utilizando o modelo de aprendizado de máquina configurado para predizer dados de propriedade de campo agronômico; com base nos dados de propriedade de campo agronômico, automaticamente gerar uma primeira representação gráfica; e causar a exibição da primeira representação gráfica no dispositivo de computação de cliente.
BR112022009590A 2020-01-07 2021-01-07 Uso de sensores remotos óticos e modelos de aprendizado de máquina para predizer dados de propriedade de campo agronômico BR112022009590A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202062958211P 2020-01-07 2020-01-07
PCT/US2021/012428 WO2021142068A1 (en) 2020-01-07 2021-01-07 Using optical remote sensors and machine learning models to predict agronomic field property data

Publications (1)

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BR112022009590A2 true BR112022009590A2 (pt) 2022-08-02

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BR112022009590A BR112022009590A2 (pt) 2020-01-07 2021-01-07 Uso de sensores remotos óticos e modelos de aprendizado de máquina para predizer dados de propriedade de campo agronômico

Country Status (8)

Country Link
US (1) US20210209490A1 (pt)
EP (1) EP4088250A4 (pt)
AR (1) AR121004A1 (pt)
AU (1) AU2021205887A1 (pt)
BR (1) BR112022009590A2 (pt)
CA (1) CA3162476A1 (pt)
MX (1) MX2022008361A (pt)
WO (1) WO2021142068A1 (pt)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11295331B2 (en) * 2020-07-01 2022-04-05 X Development Llc Analyzing crop fields based on agricultural management practices
US11379865B2 (en) * 2020-07-17 2022-07-05 Sap Se Machine learned models for item price planning
US11845449B2 (en) * 2020-10-09 2023-12-19 Deere & Company Map generation and control system
US11775906B2 (en) * 2020-10-30 2023-10-03 Cibo Technologies, Inc. Method and system for verification of carbon footprint in agricultural parcels
US11763271B2 (en) 2020-10-30 2023-09-19 Cibo Technologies, Inc. Method and system for carbon footprint determination based on regenerative practice implementation
US11861625B2 (en) 2020-10-30 2024-01-02 Cibo Technologies, Inc. Method and system for carbon footprint monitoring based on regenerative practice implementation
CN113537604B (zh) * 2021-07-21 2023-10-10 中国农业大学 耦合过程模型和深度学习的农作物产量预测方法及装置
CN115661664B (zh) * 2022-12-08 2023-04-07 东莞先知大数据有限公司 一种边界遮挡检测及补偿方法、电子设备和存储介质
CN116050699B (zh) * 2023-03-24 2023-06-13 南京数溪智能科技有限公司 一种果园管理数据平台及其控制方法
CN116522261B (zh) * 2023-05-06 2023-12-22 北京瀚海蓝山智能科技有限公司 一种基于大数据的风险信息监控方法及系统
CN117853947B (zh) * 2024-03-06 2024-05-10 山东同圆数字科技有限公司 一种冬小麦遥感影像自动分析系统

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
US10342174B2 (en) * 2015-10-16 2019-07-09 The Climate Corporation Method for recommending seeding rate for corn seed using seed type and sowing row width
US10154624B2 (en) * 2016-08-08 2018-12-18 The Climate Corporation Estimating nitrogen content using hyperspectral and multispectral images
US10423850B2 (en) * 2017-10-05 2019-09-24 The Climate Corporation Disease recognition from images having a large field of view
US11423492B2 (en) * 2017-11-21 2022-08-23 Climate Llc Computing risk from a crop damaging factor for a crop on an agronomic field
US10878588B2 (en) * 2018-06-22 2020-12-29 X Development Llc Detection and replacement of transient obstructions from high elevation digital images

Also Published As

Publication number Publication date
US20210209490A1 (en) 2021-07-08
EP4088250A4 (en) 2024-01-17
EP4088250A1 (en) 2022-11-16
AR121004A1 (es) 2022-04-06
CA3162476A1 (en) 2021-07-15
WO2021142068A1 (en) 2021-07-15
MX2022008361A (es) 2022-08-04
AU2021205887A1 (en) 2022-06-30

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Owner name: CLIMATE LLC (US)