AR121004A1 - Aplicación de sensores remotos y modelos de aprendizaje automatizado para predecir datos de propiedad agronómica a campo - Google Patents

Aplicación de sensores remotos y modelos de aprendizaje automatizado para predecir datos de propiedad agronómica a campo

Info

Publication number
AR121004A1
AR121004A1 ARP210100035A ARP210100035A AR121004A1 AR 121004 A1 AR121004 A1 AR 121004A1 AR P210100035 A ARP210100035 A AR P210100035A AR P210100035 A ARP210100035 A AR P210100035A AR 121004 A1 AR121004 A1 AR 121004A1
Authority
AR
Argentina
Prior art keywords
agronomic
property data
field
predict
machine learning
Prior art date
Application number
ARP210100035A
Other languages
English (en)
Inventor
Angeles Casas
Xiaoyuan Yang
Ho Jin Kim
Steven Ward
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 AR121004A1 publication Critical patent/AR121004A1/es

Links

Classifications

    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (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

En algunas formas de realización, se describe un método implementado por computadora para predecir datos de propiedad agronómica de campo para uno o más campos agronómicos utilizando un modelo de aprendizaje automatizado entrenado. El método comprende recibir, en un sistema informático de inteligencia agrícola, datos de entrenamiento agronómico; entrenar un modelo de aprendizaje automatizado, en el sistema informático de inteligencia agrícola, utilizando los datos de entrenamiento agronómico; en respuesta a la recepción de una solicitud desde un dispositivo informático cliente para datos de propiedad agronómica de campo para uno o más campos agronómicos, predecir automáticamente los datos de propiedad agronómica de campo para el uno o más campos agronómicos utilizando el modelo de aprendizaje automatizado configurado para predecir datos de propiedad agronómica de campo; en base a los datos de propiedad agronómica de campo, generando automáticamente una primera representación gráfica; y haciendo que se muestre la primera representación gráfica en el dispositivo informático del cliente.
ARP210100035A 2020-01-07 2021-01-07 Aplicación de sensores remotos y modelos de aprendizaje automatizado para predecir datos de propiedad agronómica a campo AR121004A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US202062958211P 2020-01-07 2020-01-07

Publications (1)

Publication Number Publication Date
AR121004A1 true AR121004A1 (es) 2022-04-06

Family

ID=76654011

Family Applications (1)

Application Number Title Priority Date Filing Date
ARP210100035A AR121004A1 (es) 2020-01-07 2021-01-07 Aplicación de sensores remotos y modelos de aprendizaje automatizado para predecir datos de propiedad agronómica a campo

Country Status (8)

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

Families Citing this family (12)

* 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
US11861625B2 (en) 2020-10-30 2024-01-02 Cibo Technologies, Inc. Method and system for carbon footprint monitoring based on regenerative practice implementation
US11763271B2 (en) 2020-10-30 2023-09-19 Cibo Technologies, Inc. Method and system for carbon footprint determination 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
US20230288594A1 (en) * 2022-03-08 2023-09-14 Landmark Graphics Corporation Frequency-dependent machine learning model in seismic interpretation
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 (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
BR112018000627B1 (pt) * 2015-07-15 2022-03-03 The Climate Corporation Método e sistema de processamento de dados para geração de modelos digitais de nutrientes disponíveis para uma cultura
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
WO2018049289A1 (en) * 2016-09-09 2018-03-15 Cibo Technologies, Inc. Systems for adjusting agronomic inputs using remote sensing, and related apparatus and methods
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
US11116145B2 (en) * 2018-03-30 2021-09-14 Greensight Argonomics, Inc. Automated optimization of agricultural treatments based on raster image data system
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
MX2022008361A (es) 2022-08-04
EP4088250A1 (en) 2022-11-16
AU2021205887A1 (en) 2022-06-30
CA3162476A1 (en) 2021-07-15
WO2021142068A1 (en) 2021-07-15
BR112022009590A2 (pt) 2022-08-02

Similar Documents

Publication Publication Date Title
AR121004A1 (es) Aplicación de sensores remotos y modelos de aprendizaje automatizado para predecir datos de propiedad agronómica a campo
Fuchs Exploring the opportunities and challenges of NLP models in higher education: is Chat GPT a blessing or a curse?
Sneider et al. Computational thinking in high school science classrooms
Snalune The benefits of computational thinking
US20160171902A1 (en) Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions
Dewi et al. The contribution of teaching factory program implementation on work readiness of vocational high school students in Makassar
Dauer et al. Conservation of energy: An analytical tool for student accounts of carbon-transforming processes
Chance et al. From curriculum guidelines to learning outcomes: Assessment at the program level
Spector Smart learning environments: Potential and pitfalls
Ivanovich et al. Conception of ontology-based sector educational space
Schreiber et al. Cost-efficient quality assurance of natural language processing tools through continuous monitoring with continuous integration
Ade-Ibijola et al. Introducing Code Adviser: A DFA-driven electronic programming tutor
Wahyudi et al. Trend and Opportunity of Science Education Research Related Optical Waves: A Systematic Literature Network Analysis
Nurhayati Model Cooperative Script Pada Pembelajaran Bahasa Inggris Aspek Berbicara: Sebuah Hipotesis
Sianturi Teacher’s Strategies in Teaching Writing Descriptive Text at Senior High School
Hazzan et al. The Pedagogical Challenge of Machine Learning Education
Herlina et al. Portraying hikayat learning for senior high school in 4.0 era
Ahyani Situation Method In Learning Arabic In The Era Of Industrial Revolution 4.0
Apriliyanto et al. Perception of Teachers in Math Learning using Problem Based Learning Model
Hwang et al. An Approach of Cognitive Health Advisor Model for Untact Technology Environment
Groskreutz et al. Matrix training: A promising organizational system for learning targets, to facilitate efficient instruction in language and play skills for individuals with autism spectrum disorder
Kar et al. Intelligent assessment using variable N-gram technique
Hartanti et al. The Application of Fusion Learning Model Talking Stick and Course Revies Horey to Increase Activeness and Learning Outcomes
Handayani et al. Development Of Problem-Based Learning Materials (PBL) In Theme 7 Class 5 At MI Adabiyah 2 Palembang
Wang et al. Web-based interactive system for analyzing achievement gaps in public schools system