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AR106474A1 - Cálculos implementados por computadoras para recomendaciones de cosecha de maíz - Google Patents

Cálculos implementados por computadoras para recomendaciones de cosecha de maíz

Info

Publication number
AR106474A1
AR106474A1 ARP160103258A ARP160103258A AR106474A1 AR 106474 A1 AR106474 A1 AR 106474A1 AR P160103258 A ARP160103258 A AR P160103258A AR P160103258 A ARP160103258 A AR P160103258A AR 106474 A1 AR106474 A1 AR 106474A1
Authority
AR
Argentina
Prior art keywords
hybrid seed
computing system
time series
moisture content
properties
Prior art date
Application number
ARP160103258A
Other languages
English (en)
Inventor
Xu Ying
Ren Chen Jiunn
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 AR106474A1 publication Critical patent/AR106474A1/es

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/04Inference or reasoning models
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01DHARVESTING; MOWING
    • A01D91/00Methods for harvesting agricultural products
    • A01D91/04Products growing above the soil
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Environmental Sciences (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Drying Of Solid Materials (AREA)

Abstract

Técnicas implementadas por computadora para determinar el tiempo de cosecha del cultivo durante una estación de crecimiento en base a las propiedades de la semilla híbrida y las condiciones meteorológicas. Un sistema de computación del servidor recibe datos que representan las propiedades de la semilla híbrida que incluye tipo de semilla, madurez relativa y datos meteorológicos. El sistema de computación crea y almacena una serie temporal del contenido de humedad de equilibrio para la geolocalización específica en base a los datos meteorológicos, la que se utiliza para determinar la tasa de pérdida de humedad del grano. El sistema de computación calcula el contenido de humedad en R6 de una semilla híbrida específica en base a una pluralidad de datos de la semilla híbrida. El sistema de computación crea un modelo de serie temporal de pérdida de humedad del grano en base a la serie temporal del contenido de humedad de equilibrio, la fecha de R6, el contenido de humedad R6 y las propiedades de la semilla híbrida. El sistema de computación determina y muestra una recomendación de tiempo de cosecha en base a la serie temporal de pérdida de humedad del grano y el nivel de humedad que desea el agricultor.
ARP160103258A 2015-10-28 2016-10-25 Cálculos implementados por computadoras para recomendaciones de cosecha de maíz AR106474A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US14/925,797 US10586158B2 (en) 2015-10-28 2015-10-28 Computer-implemented calculation of corn harvest recommendations

Publications (1)

Publication Number Publication Date
AR106474A1 true AR106474A1 (es) 2018-01-17

Family

ID=58631026

Family Applications (1)

Application Number Title Priority Date Filing Date
ARP160103258A AR106474A1 (es) 2015-10-28 2016-10-25 Cálculos implementados por computadoras para recomendaciones de cosecha de maíz

Country Status (8)

Country Link
US (3) US10586158B2 (es)
EP (2) EP3367783B1 (es)
AR (1) AR106474A1 (es)
AU (2) AU2016344427B2 (es)
BR (1) BR112018008750B1 (es)
UA (1) UA128713C2 (es)
WO (1) WO2017074692A1 (es)
ZA (1) ZA201803007B (es)

Families Citing this family (91)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2728540C2 (ru) * 2016-03-04 2020-07-30 Басф Се Устройства и способы планирования и мониторинга выращивания сельскохозяйственной культуры
WO2018049289A1 (en) 2016-09-09 2018-03-15 Cibo Technologies, Inc. Systems for adjusting agronomic inputs using remote sensing, and related apparatus and methods
US11256999B2 (en) * 2016-10-28 2022-02-22 Deere & Company Methods and systems of forecasting the drying of an agricultural crop
US11263707B2 (en) 2017-08-08 2022-03-01 Indigo Ag, Inc. Machine learning in agricultural planting, growing, and harvesting contexts
US11562444B2 (en) 2017-11-09 2023-01-24 Climate Llc Hybrid seed selection and seed portfolio optimization by field
US11568340B2 (en) 2017-11-09 2023-01-31 Climate Llc Hybrid seed selection and seed portfolio optimization by field
CN107832892B (zh) * 2017-11-17 2021-12-28 北京大学 一种基于组合优化的多块地选种决策优化方法
US11423492B2 (en) 2017-11-21 2022-08-23 Climate Llc Computing risk from a crop damaging factor for a crop on an agronomic field
DE102017130146A1 (de) * 2017-12-15 2019-06-19 Claas Selbstfahrende Erntemaschinen Gmbh Fahrerassistenzsystem zur Ansteuerung eines landwirtschaftlichen Gespanns
US10477756B1 (en) 2018-01-17 2019-11-19 Cibo Technologies, Inc. Correcting agronomic data from multiple passes through a farmable region
US20190325466A1 (en) 2018-04-24 2019-10-24 Indigo Ag, Inc. Satellite-based agricultural modeling
CN108682078B (zh) * 2018-05-08 2020-12-04 河南科技大学 一种粮食烘干机的共享方法及粮食烘干机及共享服务器
US11372580B2 (en) 2018-08-07 2022-06-28 Marvell Asia Pte, Ltd. Enabling virtual functions on storage media
US11656775B2 (en) 2018-08-07 2023-05-23 Marvell Asia Pte, Ltd. Virtualizing isolation areas of solid-state storage media
CA199220S (en) 2018-09-28 2021-02-18 Rockwool Int Display screen with graphical interface
MX2021004578A (es) * 2018-10-24 2021-09-08 Climate Llc Genética de apalancamiento e ingeniería de características para potenciar la previsibilidad de la colocación para selección del producto de semilla y recomendación por campo.
US11653588B2 (en) 2018-10-26 2023-05-23 Deere & Company Yield map generation and control system
US11589509B2 (en) 2018-10-26 2023-02-28 Deere & Company Predictive machine characteristic map generation and control system
US11079725B2 (en) 2019-04-10 2021-08-03 Deere & Company Machine control using real-time model
US11240961B2 (en) 2018-10-26 2022-02-08 Deere & Company Controlling a harvesting machine based on a geo-spatial representation indicating where the harvesting machine is likely to reach capacity
US12069978B2 (en) 2018-10-26 2024-08-27 Deere & Company Predictive environmental characteristic map generation and control system
US11178818B2 (en) 2018-10-26 2021-11-23 Deere & Company Harvesting machine control system with fill level processing based on yield data
US11467605B2 (en) 2019-04-10 2022-10-11 Deere & Company Zonal machine control
US11672203B2 (en) 2018-10-26 2023-06-13 Deere & Company Predictive map generation and control
US11957072B2 (en) 2020-02-06 2024-04-16 Deere & Company Pre-emergence weed detection and mitigation system
US11641800B2 (en) 2020-02-06 2023-05-09 Deere & Company Agricultural harvesting machine with pre-emergence weed detection and mitigation system
US11010314B2 (en) * 2018-10-30 2021-05-18 Marvell Asia Pte. Ltd. Artificial intelligence-enabled management of storage media access
US11481118B2 (en) 2019-01-11 2022-10-25 Marvell Asia Pte, Ltd. Storage media programming with adaptive write buffer release
US11778945B2 (en) 2019-04-10 2023-10-10 Deere & Company Machine control using real-time model
US11568467B2 (en) 2019-04-10 2023-01-31 Climate Llc Leveraging feature engineering to boost placement predictability for seed product selection and recommendation by field
US11234366B2 (en) 2019-04-10 2022-02-01 Deere & Company Image selection for machine control
WO2021041666A1 (en) 2019-08-27 2021-03-04 Indigo Ag, Inc. Imagery-based boundary identification for agricultural fields
WO2021062147A1 (en) 2019-09-27 2021-04-01 Indigo Ag, Inc. Modeling field irrigation with remote sensing imagery
US12329148B2 (en) 2020-02-06 2025-06-17 Deere & Company Predictive weed map and material application machine control
US12035648B2 (en) 2020-02-06 2024-07-16 Deere & Company Predictive weed map generation and control system
US12225846B2 (en) 2020-02-06 2025-02-18 Deere & Company Machine control using a predictive map
US11579133B2 (en) * 2020-03-16 2023-02-14 METER Group, Inc. USA Fast water activity measurement system
US11477940B2 (en) 2020-03-26 2022-10-25 Deere & Company Mobile work machine control based on zone parameter modification
BR112022021184A2 (pt) 2020-05-01 2022-12-06 Indigo Ag Inc Agrupamento lado a lado de dados dinâmicos
BR112023000950A2 (pt) 2020-07-21 2023-03-28 Indigo Ag Inc Algoritmos de sensoriamento remoto para mapear a agricultura regenerativa
US11650587B2 (en) 2020-10-09 2023-05-16 Deere & Company Predictive power map generation and control system
US11845449B2 (en) 2020-10-09 2023-12-19 Deere & Company Map generation and control system
US11895948B2 (en) 2020-10-09 2024-02-13 Deere & Company Predictive map generation and control based on soil properties
US11727680B2 (en) 2020-10-09 2023-08-15 Deere & Company Predictive map generation based on seeding characteristics and control
US20220110238A1 (en) 2020-10-09 2022-04-14 Deere & Company Machine control using a predictive map
US11983009B2 (en) 2020-10-09 2024-05-14 Deere & Company Map generation and control system
US11849672B2 (en) 2020-10-09 2023-12-26 Deere & Company Machine control using a predictive map
US11889788B2 (en) 2020-10-09 2024-02-06 Deere & Company Predictive biomass map generation and control
US11844311B2 (en) 2020-10-09 2023-12-19 Deere & Company Machine control using a predictive map
US12069986B2 (en) 2020-10-09 2024-08-27 Deere & Company Map generation and control system
US11711995B2 (en) 2020-10-09 2023-08-01 Deere & Company Machine control using a predictive map
US12178158B2 (en) 2020-10-09 2024-12-31 Deere & Company Predictive map generation and control system for an agricultural work machine
US11474523B2 (en) 2020-10-09 2022-10-18 Deere & Company Machine control using a predictive speed map
US11635765B2 (en) 2020-10-09 2023-04-25 Deere & Company Crop state map generation and control system
US20220110258A1 (en) 2020-10-09 2022-04-14 Deere & Company Map generation and control system
US12386354B2 (en) 2020-10-09 2025-08-12 Deere & Company Predictive power map generation and control system
US12422847B2 (en) 2020-10-09 2025-09-23 Deere & Company Predictive agricultural model and map generation
US11675354B2 (en) 2020-10-09 2023-06-13 Deere & Company Machine control using a predictive map
US11864483B2 (en) 2020-10-09 2024-01-09 Deere & Company Predictive map generation and control system
US11871697B2 (en) 2020-10-09 2024-01-16 Deere & Company Crop moisture map generation and control system
US11927459B2 (en) 2020-10-09 2024-03-12 Deere & Company Machine control using a predictive map
US11849671B2 (en) 2020-10-09 2023-12-26 Deere & Company Crop state map generation and control system
US11592822B2 (en) 2020-10-09 2023-02-28 Deere & Company Machine control using a predictive map
US11825768B2 (en) 2020-10-09 2023-11-28 Deere & Company Machine control using a predictive map
US12419220B2 (en) 2020-10-09 2025-09-23 Deere & Company Predictive map generation and control system
US12013245B2 (en) 2020-10-09 2024-06-18 Deere & Company Predictive map generation and control system
US11946747B2 (en) 2020-10-09 2024-04-02 Deere & Company Crop constituent map generation and control system
US11874669B2 (en) 2020-10-09 2024-01-16 Deere & Company Map generation and control system
US11889787B2 (en) 2020-10-09 2024-02-06 Deere & Company Predictive speed map generation and control system
US12250905B2 (en) 2020-10-09 2025-03-18 Deere & Company Machine control using a predictive map
WO2022094129A1 (en) 2020-10-30 2022-05-05 Monsanto Technology Llc Systems and methods for enhancing harvest yield
US12127500B2 (en) 2021-01-27 2024-10-29 Deere & Company Machine control using a map with regime zones
CN113592193B (zh) * 2021-08-19 2022-04-29 中化现代农业有限公司 一种作物收获期时间预测方法、装置及存储介质
WO2023034118A1 (en) 2021-08-30 2023-03-09 Indigo Ag, Inc. Systems for management of location-aware market data
US11880894B2 (en) 2021-08-31 2024-01-23 Indigo Ag, Inc. Systems and methods for ecosystem credit recommendations
US12310286B2 (en) 2021-12-14 2025-05-27 Deere & Company Crop constituent sensing
US12302791B2 (en) 2021-12-20 2025-05-20 Deere & Company Crop constituents, predictive mapping, and agricultural harvester control
US12245549B2 (en) 2022-01-11 2025-03-11 Deere & Company Predictive response map generation and control system
US12082531B2 (en) 2022-01-26 2024-09-10 Deere & Company Systems and methods for predicting material dynamics
US12520759B2 (en) 2022-01-26 2026-01-13 Deere & Company Systems and methods for predicting material dynamics
JP2023110276A (ja) * 2022-01-28 2023-08-09 株式会社モアーク 農産物価格設定方法およびそのシステム
US12295288B2 (en) 2022-04-05 2025-05-13 Deere &Company Predictive machine setting map generation and control system
US12358493B2 (en) 2022-04-08 2025-07-15 Deere & Company Systems and methods for predictive power requirements and control
US12284934B2 (en) 2022-04-08 2025-04-29 Deere & Company Systems and methods for predictive tractive characteristics and control
US12058951B2 (en) 2022-04-08 2024-08-13 Deere & Company Predictive nutrient map and control
US12298767B2 (en) 2022-04-08 2025-05-13 Deere & Company Predictive material consumption map and control
US11610157B1 (en) * 2022-05-09 2023-03-21 Advanced Agrilytics Holdings, Llc Machine learning methods and systems for characterizing corn growth efficiency
US20240345015A1 (en) * 2023-02-06 2024-10-17 Novatec, Inc. Systems and processes for determining drying times for granulate materials based on initial moisture content of the materials
DE102023104989A1 (de) * 2023-03-01 2024-09-05 Claas Saulgau Gmbh Verfahren zur Bearbeitung einer landwirtschaftlichen Fläche mittels einer landwirtschaftlichen Maschinenanordnung
US20240362723A1 (en) * 2023-04-28 2024-10-31 Cibo Technologies, Inc. Machine learning method and system for predicting crop type
WO2024229378A1 (en) * 2023-05-03 2024-11-07 C3.Ai, Inc. Machine learning-based production optimizers

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008086318A1 (en) 2007-01-08 2008-07-17 Precision Planting, Inc. Planter monitor system and method
US8712148B2 (en) 2008-06-06 2014-04-29 Monsanto Technology Llc Generating agricultural information products using remote sensing
US8477295B2 (en) 2009-05-07 2013-07-02 Solum, Inc. Automated soil measurement device
WO2013082082A1 (en) 2011-11-28 2013-06-06 Syngenta Participations Ag Scalable pilot dryer
AU2013295763B2 (en) 2012-07-25 2017-10-12 Precision Planting Llc Systems, methods and apparatus for multi-row agricultural implement control and monitoring
US9140824B1 (en) 2015-01-23 2015-09-22 Iteris, Inc. Diagnosis and prediction of in-field dry-down of a mature small grain, coarse grain, or oilseed crop using field-level analysis and forecasting of weather conditions, crop characteristics, and observations and user input of harvest condition states
US9076118B1 (en) * 2015-01-23 2015-07-07 Iteris, Inc. Harvest advisory modeling using field-level analysis of weather conditions, observations and user input of harvest condition states, wherein a predicted harvest condition includes an estimation of standing crop dry-down rates, and an estimation of fuel costs

Also Published As

Publication number Publication date
US20170124463A1 (en) 2017-05-04
AU2021266286A1 (en) 2021-12-09
ZA201803007B (en) 2019-07-31
AU2016344427A1 (en) 2018-05-24
UA128713C2 (uk) 2024-10-09
US20220277208A1 (en) 2022-09-01
BR112018008750B1 (pt) 2023-11-07
AU2021266286B2 (en) 2024-06-27
EP4481666A3 (en) 2025-03-19
US20200279179A1 (en) 2020-09-03
EP3367783A4 (en) 2019-05-22
EP4481666A2 (en) 2024-12-25
EP3367783A1 (en) 2018-09-05
EP3367783B1 (en) 2024-09-11
US10586158B2 (en) 2020-03-10
EP3367783C0 (en) 2024-09-11
AU2016344427B2 (en) 2021-08-12
CA3002706A1 (en) 2017-05-04
BR112018008750A2 (pt) 2018-10-30
WO2017074692A1 (en) 2017-05-04

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