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.

Info

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
Authority
MX
Mexico
Prior art keywords
seeds
predictability
leveraging
genetics
recommendation
Prior art date
Application number
MX2021004578A
Other languages
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
Original Assignee
Climate Llc
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 Llc filed Critical Climate Llc
Publication of MX2021004578A publication Critical patent/MX2021004578A/es

Links

Classifications

    • 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

Landscapes

  • 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)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Evolutionary Biology (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)
  • Genetics & Genomics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Bioethics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Physiology (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Public Health (AREA)
  • Computational Linguistics (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (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
US201862750156P 2018-10-24 2018-10-24
US201862750153P 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 (6)

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

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11266125B1 (en) * 2018-08-06 2022-03-08 American Institute of Nutrition and Management Inc. System and method for animal growth regulation for improved profitability and mitigated risk
US11861737B1 (en) * 2018-08-31 2024-01-02 Climate Llc Hybrid seed supply management based on prescription of hybrid seed placement
US11593674B2 (en) 2018-10-24 2023-02-28 Climate Llc Leveraging genetics and feature engineering to boost placement predictability for seed product selection and recommendation by field
WO2020210557A1 (en) 2019-04-10 2020-10-15 The Climate Corporation Leveraging feature engineering to boost placement predictability for seed product selection and recommendation by field
US20210398012A1 (en) * 2020-06-17 2021-12-23 International Business Machines Corporation Method and system for performing data pre-processing operations during data preparation of a machine learning lifecycle
CA3221230A1 (en) * 2021-06-01 2022-12-08 Climate Llc Systems and methods for use in planting seeds in growing spaces
EP4356320A1 (en) * 2021-06-16 2024-04-24 Advanced Agrilytics Holdings, LLC Methods and systems for generating and visualizing optimal hybrid and variety placement
WO2023056099A1 (en) * 2021-10-01 2023-04-06 Iron Ox, Inc. Distributing plants within an automated agricultural facility
WO2023129653A2 (en) * 2021-12-31 2023-07-06 Benson Hill, Inc. Systems and methods for accelerate speed to market for improved plant-based products
WO2023235120A1 (en) * 2022-06-03 2023-12-07 Microsoft Technology Licensing, Llc Deep learning system and method for predicting crop characteristics

Family Cites Families (36)

* 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
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
US11430542B2 (en) * 2015-07-23 2022-08-30 Limagrain Europe Computer implemented method for predicting true agronomical value of a plant
EP3365466A1 (en) 2015-10-23 2018-08-29 Sime Darby Plantation Intellectual Property 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
CA3026265A1 (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
AU2017382800B2 (en) 2016-12-19 2022-08-04 Climate Llc Systems, methods and apparatus for soil and seed monitoring
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
US11568340B2 (en) * 2017-11-09 2023-01-31 Climate Llc Hybrid seed selection and seed portfolio optimization by field
US11562444B2 (en) * 2017-11-09 2023-01-24 Climate Llc Hybrid seed selection and seed portfolio optimization by field
US11406053B1 (en) * 2018-05-21 2022-08-09 Climate Llc Using casual learning algorithms to assist in agricultural management decisions
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
EP3830750A4 (en) 2018-08-02 2022-04-27 The Climate Corporation AUTOMATIC HARVEST PREDICTION AND SEEDING RATE RECOMMENDATION BASED ON WEATHER DATA
EP3853780A4 (en) * 2018-09-21 2022-07-06 Climate LLC METHOD AND SYSTEM FOR EXECUTING MACHINE LEARNING ALGORITHMS
BR112021007121A2 (pt) * 2018-10-24 2021-07-20 The Climate Corporation uso de predições de umidade de colheita de sementes com base em aprendizado por máquina para melhorar uma operação agrícola de fazenda assistida por computador
US11593674B2 (en) 2018-10-24 2023-02-28 Climate Llc Leveraging genetics and feature engineering to boost placement predictability for seed product selection and recommendation by field
US20200154629A1 (en) 2018-11-15 2020-05-21 Ag Leader Technology On the go organic matter sensor and associated systems and methods
WO2020210557A1 (en) 2019-04-10 2020-10-15 The Climate Corporation Leveraging feature engineering to boost placement predictability for seed product selection and recommendation by field
US11125675B2 (en) 2019-10-18 2021-09-21 Roger Lawrence Deran Fluid suspended particle classifier
US11610272B1 (en) * 2020-01-29 2023-03-21 Arva Intelligence Corp. Predicting crop yield with a crop prediction engine

Also Published As

Publication number Publication date
CA3116341A1 (en) 2020-04-30
US11593674B2 (en) 2023-02-28
US20230351226A1 (en) 2023-11-02
BR112021007032A2 (pt) 2021-07-20
WO2020086814A1 (en) 2020-04-30
US20200134486A1 (en) 2020-04-30
US12039463B2 (en) 2024-07-16
CN112930544A (zh) 2021-06-08
EP3871160A4 (en) 2022-07-27
EP3871160A1 (en) 2021-09-01

Similar Documents

Publication Publication Date Title
MX2021004578A (es) Genética de apalancamiento e ingeniería de características para potenciar la previsibilidad de la colocación para selección del producto de semilla y recomendación por campo.
Bartlett et al. A smartphone app to extend use of a cloud-based irrigation scheduling tool
MX2021006842A (es) Mapeo de las propiedades del suelo con datos satelitales usando enfoques de aprendizaje automaticos.
MX2020011908A (es) Analisis y presentacion de datos agricolas.
US20180300653A1 (en) Distributed Machine Learning System
MX2021004569A (es) Uso de predicciones de humedad de cosecha de semillas con base en aprendizaje automático para mejorar una operación de granja agrícola asistida por computadora.
Gauzere et al. Where is the optimum? Predicting the variation of selection along climatic gradients and the adaptive value of plasticity. A case study on tree phenology
BR112018013423A2 (pt) geração de modelos digitais de rendimento de cultura com base em datas de plantio de cultura e valores de maturidade relativa
Curl et al. Digital Twins
SA519410568B1 (ar) دمج معلومات سياقية في سير عمل لعمليات حفرة بئر
BR112021017318A2 (pt) Engenharia de recursos de alavancagem para aumentar a previsibilidade de colocação para seleção de produtos de sementes e recomendação por campo
AR106474A1 (es) Cálculos implementados por computadoras para recomendaciones de cosecha de maíz
MX2020014001A (es) Asignacion automatica de hibridos o semillas a campos para siembra.
WO2017044391A3 (en) Generating probabilistic estimates of rainfall rates from radar reflectivity measurements
Egli et al. Yield and yield gaps in central US corn production systems
GB2538625A8 (en) Systems and methods for evaluating search query terms for improving search results
WO2010104644A3 (en) Method, computer program product, and apparatus for enabling task aggregation in an enterprise environment
MX2020012092A (es) Sistema y metodo de agregacion y analisis de datos geograficos.
Li et al. Apple fruit diameter and length estimation by using the thermal and sunshine hours approach and its application to the digital orchard management information system
GB2587851A8 (en) A maintenance system for a process plant
GB2552598A (en) Images for query answers
FI20041483A0 (fi) Järjestelmä ja menetelmä alkion toimittamiseksi valmistettuja siemeniä varten
EP3032473A1 (en) Method and system for classifying plant disease through crowdsourcing using a mobile communication device
Mohd et al. Application of web geospatial decision support system for Tanjung Karang rice precision irrigation water management
CN103995895A (zh) 一种基于图片的识图方法及装置