AR118663A1 - Ingeniería de características de aprovechamiento para aumentar la predictabilidad de colocación para la selección y recomendación de productos de semilla por campo - Google Patents

Ingeniería de características de aprovechamiento para aumentar la predictabilidad de colocación para la selección y recomendación de productos de semilla por campo

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Publication number
AR118663A1
AR118663A1 ARP200101040A ARP200101040A AR118663A1 AR 118663 A1 AR118663 A1 AR 118663A1 AR P200101040 A ARP200101040 A AR P200101040A AR P200101040 A ARP200101040 A AR P200101040A AR 118663 A1 AR118663 A1 AR 118663A1
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AR
Argentina
Prior art keywords
products
performance
predictability
recommendation
selection
Prior art date
Application number
ARP200101040A
Other languages
English (en)
Inventor
Xiao Yang
Shilpa Sood
Xuefei Wang
Herbert Ssegane
Dongming Jiang
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 AR118663A1 publication Critical patent/AR118663A1/es

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    • 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • 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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462—Approximate or statistical queries
    • 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
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/20—Ensemble learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Genetics & Genomics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Evolutionary Biology (AREA)
  • Analytical Chemistry (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Chemical & Material Sciences (AREA)
  • Agronomy & Crop Science (AREA)
  • Animal Husbandry (AREA)
  • Tourism & Hospitality (AREA)
  • Biophysics (AREA)
  • Primary Health Care (AREA)

Abstract

Un ejemplo de método implementado por computadora incluye recibir una pluralidad de registros de datos agrícolas que incluyen propiedades de rendimiento de productos cultivados en campos y características de campo sin procesar de los campos. El método también incluye transformar las características de campo sin procesar en distintas clases de características que caracterizan características clave que afectan el rendimiento del uno o más productos, y generar, utilizando datos de la pluralidad de registros de datos agrícolas y las distintas clases de características, relaciones genómicas por medio ambiente entre uno o más productos, propiedades de rendimiento del uno o más productos y características de campo asociadas con el uno o más productos. Además, el método incluye generar, según al menos en parte en las relaciones genómicas por medio ambiente, desempeño de rendimiento previsto para un conjunto de productos asociados con uno o más entornos objetivo, generar recomendaciones de productos para el uno o más entornos objetivo según el desempeño de rendimiento previsto para el conjunto de productos y proporcionar una o más instrucciones configuradas para mostrar las recomendaciones del producto.
ARP200101040A 2019-04-10 2020-04-13 Ingeniería de características de aprovechamiento para aumentar la predictabilidad de colocación para la selección y recomendación de productos de semilla por campo AR118663A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US201962832148P 2019-04-10 2019-04-10

Publications (1)

Publication Number Publication Date
AR118663A1 true AR118663A1 (es) 2021-10-20

Family

ID=72748452

Family Applications (1)

Application Number Title Priority Date Filing Date
ARP200101040A AR118663A1 (es) 2019-04-10 2020-04-13 Ingeniería de características de aprovechamiento para aumentar la predictabilidad de colocación para la selección y recomendación de productos de semilla por campo

Country Status (4)

Country Link
US (2) US11568467B2 (es)
AR (1) AR118663A1 (es)
BR (1) BR112021017318A2 (es)
WO (1) WO2020210557A1 (es)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11861737B1 (en) * 2018-08-31 2024-01-02 Climate Llc Hybrid seed supply management based on prescription of hybrid seed placement
EP3871160A4 (en) 2018-10-24 2022-07-27 Climate LLC USE OF GENETICS AND EXPLANATORY VARIABLE CREATION TO INCREASE PLACEMENT PREDICTABILITY FOR FIELD SEED PRODUCT SELECTION AND RECOMMENDATION
EP3822976A1 (en) * 2019-11-13 2021-05-19 Basf Se Crop monitoring and protection
US11645308B2 (en) * 2020-05-27 2023-05-09 International Business Machines Corporation Customizing agricultural practices to maximize crop yield
US20220156603A1 (en) * 2020-11-17 2022-05-19 International Business Machines Corporation Discovering farming practices
CN113040015A (zh) * 2021-04-15 2021-06-29 塔里木大学 基于田间持水量的膜下滴灌棉花相对产量估算方法
CN113706211B (zh) * 2021-08-31 2024-04-02 平安科技（深圳）有限公司 基于神经网络的广告点击率预测方法及系统
CA3231095A1 (en) * 2021-09-07 2023-03-16 Mike QUASHIE Systems and methods for load forecasting for improved forecast results based on tuned weather data
JP7476863B2 (ja) * 2021-10-12 2024-05-01 横河電機株式会社 栽培支援システム、栽培支援方法、及びプログラム

Family Cites Families (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6505146B1 (en) 1999-09-24 2003-01-07 Monsanto Company Method and system for spatial evaluation of field and crop performance
US7047133B1 (en) * 2003-01-31 2006-05-16 Deere & Company Method and system of evaluating performance of a crop
US7702597B2 (en) 2004-04-20 2010-04-20 George Mason Intellectual Properties, Inc. Crop yield prediction using piecewise linear regression with a break point and weather and agricultural parameters
US20090099776A1 (en) 2007-10-16 2009-04-16 Kapadi Mangesh D System and method for sugarcane yield estimation
US9428425B2 (en) * 2012-09-20 2016-08-30 Core Intellectual Properties Holdings, Llc Methods and compositions for treating soil and plants
US9767521B2 (en) 2013-08-30 2017-09-19 The Climate Corporation Agricultural spatial data processing systems and methods
US10371561B2 (en) 2013-11-01 2019-08-06 Iowa State University Research Foundation, Inc. Yield measurement and base cutter height control systems for a harvester
US10107770B2 (en) * 2014-06-18 2018-10-23 Texas Tech University System Portable apparatus for soil chemical characterization
US10667456B2 (en) * 2014-09-12 2020-06-02 The Climate Corporation Methods and systems for managing agricultural activities
US10564316B2 (en) 2014-09-12 2020-02-18 The Climate Corporation Forecasting national crop yield during the growing season
US9792557B2 (en) 2015-01-14 2017-10-17 Accenture Global Services Limited Precision agriculture system
EP3326093B1 (en) 2015-07-23 2024-01-24 Limagrain Europe Improved computer implemented method for predicting true agronomical value of a plant
WO2017069607A1 (en) 2015-10-23 2017-04-27 Sime Darby Plantation Sdn. Bhd. Methods for predicting palm oil yield of a test oil palm plant
US10586158B2 (en) 2015-10-28 2020-03-10 The Climate Corporation Computer-implemented calculation of corn harvest recommendations
US10628895B2 (en) * 2015-12-14 2020-04-21 The Climate Corporation Generating digital models of relative yield of a crop based on nitrate values in the soil
US10251347B2 (en) 2016-01-07 2019-04-09 The Climate Corporation Generating digital models of crop yield based on crop planting dates and relative maturity values
WO2017214445A1 (en) 2016-06-08 2017-12-14 Monsanto Technology Llc Methods for identifying crosses for use in plant breeding
US9881214B1 (en) * 2016-07-13 2018-01-30 The Climate Corporation Generating pixel maps from non-image data and difference metrics for pixel maps
US20180020622A1 (en) * 2016-07-25 2018-01-25 CiBo Technologies Inc. Agronomic Database and Data Model
WO2018049288A1 (en) * 2016-09-09 2018-03-15 Cibo Technologies, Inc. Systems for learning farmable zones, and related methods and apparatus
US10028451B2 (en) 2016-11-16 2018-07-24 The Climate Corporation Identifying management zones in agricultural fields and generating planting plans for the zones
UA126070C2 (uk) * 2016-12-19 2022-08-10 Зе Клаймет Корпорейшн Системи, способи та пристрої для контролю ґрунту та насіння
AU2018207204B2 (en) * 2017-01-12 2023-11-30 Pivot Bio, Inc. Methods and compositions for improving plant traits
US10699185B2 (en) * 2017-01-26 2020-06-30 The Climate Corporation Crop yield estimation using agronomic neural network
BR112019023237A2 (pt) * 2017-05-09 2020-06-02 Taxon Biosciences Inc. Micróbios de promoção de crescimento de planta, composições, e usos
US11562444B2 (en) 2017-11-09 2023-01-24 Climate Llc Hybrid seed selection and seed portfolio optimization by field
JP7088541B2 (ja) * 2018-05-24 2022-06-21 ラピスセミコンダクタ株式会社 測定装置及び測定方法
AU2019315506A1 (en) * 2018-08-02 2021-03-11 Climate Llc Automatic prediction of yields and recommendation of seeding rates based on weather data
EP3871160A4 (en) 2018-10-24 2022-07-27 Climate LLC USE OF GENETICS AND EXPLANATORY VARIABLE CREATION TO INCREASE PLACEMENT PREDICTABILITY FOR FIELD SEED PRODUCT SELECTION AND RECOMMENDATION
US20200154629A1 (en) * 2018-11-15 2020-05-21 Ag Leader Technology On the go organic matter sensor and associated systems and methods
US11125675B2 (en) * 2019-10-18 2021-09-21 Roger Lawrence Deran Fluid suspended particle classifier

Also Published As

Publication number Publication date
US20230177589A1 (en) 2023-06-08
US20200327603A1 (en) 2020-10-15
BR112021017318A2 (pt) 2021-11-16
US11568467B2 (en) 2023-01-31
WO2020210557A1 (en) 2020-10-15

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