MX2021004578A - Genética de apalancamiento e ingeniería de características para potenciar la previsibilidad de la colocación para selección del producto de semilla y recomendación por campo. - Google Patents

Genética de apalancamiento e ingeniería de características para potenciar la previsibilidad de la colocación para selección del producto de semilla y recomendación por campo.

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Publication number
MX2021004578A
MX2021004578A MX2021004578A MX2021004578A MX2021004578A MX 2021004578 A MX2021004578 A MX 2021004578A MX 2021004578 A MX2021004578 A MX 2021004578A MX 2021004578 A MX2021004578 A MX 2021004578A MX 2021004578 A MX2021004578 A MX 2021004578A
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MX
Mexico
Prior art keywords
seeds
predictability
leveraging
genetics
recommendation
Prior art date
Application number
MX2021004578A
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English (en)
Inventor
Xiao Yang
Tonya S Ehlmann
Dongming Jiang
Timothy Reich
Herbert Ssegane
Iii James C Moore
Jason K Bull
Liwei Wen
Xuefei Wang
Brian Lutz
Guomei Wang
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Climate Llc
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Publication date
Application filed by Climate Llc filed Critical Climate Llc
Publication of MX2021004578A publication Critical patent/MX2021004578A/es

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    • 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
    • G16B10/00—ICT specially adapted for evolutionary bioinformatics, e.g. phylogenetic tree construction or analysis
    • 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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • 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
    • 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
    • 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
    • G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • 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
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • 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
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20—Supervised data analysis
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01C—PLANTING; SOWING; FERTILISING
    • A01C21/00—Methods of fertilising, sowing or planting
    • A01C21/005—Following a specific plan, e.g. pattern
    • 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

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Software Systems (AREA)
  • Biotechnology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biophysics (AREA)
  • Evolutionary Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Molecular Biology (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Genetics & Genomics (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Bioethics (AREA)
  • Public Health (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Physiology (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • Computational Linguistics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Un método implementado por computadora ejemplar incluye recibir registros de datos agrícolas comprendiendo un primer conjunto de propiedades de rendimiento para un primer conjunto de semillas cultivadas en un primer conjunto de ambientes, y recibir datos de características genéticas relacionados con un segundo conjunto de semillas; el método además incluye generar un segundo conjunto de propiedades de rendimiento para el segundo conjunto de semillas asociado con un segundo conjunto de ambientes mediante la aplicación de un modelo utilizando los datos de características genéticas y los registros de datos agrícolas; además, el método incluye determinar el desempeño de rendimiento predicho para un tercer conjunto de semillas asociado con uno o más ambientes objetivo mediante la aplicación del segundo conjunto de propiedades de rendimiento, y generar recomendaciones de semilla para uno o más ambientes objetivo con base en el desempeño de rendimiento predicho para el tercer conjunto de semillas; en el presente ejemplo, el método también incluye ocasionar el despliegue, en un dispositivo de pantalla comunicativamente acoplado al sistema de computadora de servidor, de las recomendaciones de semilla.
MX2021004578A 2018-10-24 2019-10-24 Genética de apalancamiento e ingeniería de características para potenciar la previsibilidad de la colocación para selección del producto de semilla y recomendación por campo. MX2021004578A (es)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201862750153P 2018-10-24 2018-10-24
US201862750156P 2018-10-24 2018-10-24
US201962832148P 2019-04-10 2019-04-10
PCT/US2019/057812 WO2020086814A1 (en) 2018-10-24 2019-10-24 Leveraging genetics and feature engineering to boost placement predictability for seed product selection and recommendation by field

Publications (1)

Publication Number Publication Date
MX2021004578A true MX2021004578A (es) 2021-09-08

Family

ID=70326325

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2021004578A MX2021004578A (es) 2018-10-24 2019-10-24 Genética de apalancamiento e ingeniería de características para potenciar la previsibilidad de la colocación para selección del producto de semilla y recomendación por campo.

Country Status (7)

Country Link
US (2) US11593674B2 (es)
EP (1) EP3871160A4 (es)
CN (1) CN112930544A (es)
BR (1) BR112021007032A2 (es)
CA (1) CA3116341A1 (es)
MX (1) MX2021004578A (es)
WO (1) WO2020086814A1 (es)

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Also Published As

Publication number Publication date
WO2020086814A1 (en) 2020-04-30
US20230351226A1 (en) 2023-11-02
EP3871160A4 (en) 2022-07-27
CN112930544A (zh) 2021-06-08
BR112021007032A2 (pt) 2021-07-20
US20200134486A1 (en) 2020-04-30
EP3871160A1 (en) 2021-09-01
CA3116341A1 (en) 2020-04-30
US11593674B2 (en) 2023-02-28

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