AR117665A1 - Sistema y método para agregar los resultados de las parcelas de prueba basados en entornos agronómicos - Google Patents

Sistema y método para agregar los resultados de las parcelas de prueba basados en entornos agronómicos

Info

Publication number
AR117665A1
AR117665A1 ARP190103298A ARP190103298A AR117665A1 AR 117665 A1 AR117665 A1 AR 117665A1 AR P190103298 A ARP190103298 A AR P190103298A AR P190103298 A ARP190103298 A AR P190103298A AR 117665 A1 AR117665 A1 AR 117665A1
Authority
AR
Argentina
Prior art keywords
agronomic
field
data representing
responses
yield
Prior art date
Application number
ARP190103298A
Other languages
English (en)
Inventor
Mark Stelford
Adam Frieberg
Andrew Krmenec
Dan Frieberg
Original Assignee
Premier Crop Systems 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 Premier Crop Systems Llc filed Critical Premier Crop Systems Llc
Publication of AR117665A1 publication Critical patent/AR117665A1/es

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/4155—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by programme execution, i.e. part programme or machine function execution, e.g. selection of a programme
    • 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
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01C—PLANTING; SOWING; FERTILISING
    • A01C21/00—Methods of fertilising, sowing or planting
    • A01C21/007—Determining fertilization requirements
    • 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
    • G06F16/2465—Query processing support for facilitating data mining operations in structured databases
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/45—Nc applications
    • G05B2219/45017—Agriculture machine, tractor
    • 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
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Soil Sciences (AREA)
  • Environmental Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Automation & Control Theory (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Probability & Statistics with Applications (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Fuzzy Systems (AREA)
  • Human Computer Interaction (AREA)
  • Manufacturing & Machinery (AREA)
  • Mechanical Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Pretreatment Of Seeds And Plants (AREA)
  • Medicines Containing Plant Substances (AREA)

Abstract

Un sistema para recibir datos que representan respuestas agronómicas basadas en tratamientos replicados aleatorios realizados en parcelas de prueba de entornos agronómicos, que agrega los datos que representan las respuestas agronómicas en subconjuntos de datos que representan las respuestas agronómicas, cada subconjunto de los datos que representan las respuestas agronómicas asociadas con uno de una serie de zonas de rendimiento, recibe características asociadas con una parte de un campo y determina que la parte del campo representa una zona de rendimiento particular del número de zonas de rendimiento en función de las características asociadas con la parte del campo, recomienda un nivel de tratamiento para un cultivo ubicado en la porción del campo en función de la zona de rendimiento particular, y comunica el nivel de tratamiento particularizado a una máquina, el nivel de tratamiento particularizado que la máquina aplicará a la porción del campo para optimizar una respuesta agronómica basado en la zona de rendimiento particular.
ARP190103298A 2018-11-08 2019-11-08 Sistema y método para agregar los resultados de las parcelas de prueba basados en entornos agronómicos AR117665A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US201862757267P 2018-11-08 2018-11-08

Publications (1)

Publication Number Publication Date
AR117665A1 true AR117665A1 (es) 2021-08-25

Family

ID=70551418

Family Applications (1)

Application Number Title Priority Date Filing Date
ARP190103298A AR117665A1 (es) 2018-11-08 2019-11-08 Sistema y método para agregar los resultados de las parcelas de prueba basados en entornos agronómicos

Country Status (5)

Country Link
US (2) US10996656B2 (es)
AR (1) AR117665A1 (es)
AU (1) AU2019377524A1 (es)
CA (1) CA3118749A1 (es)
WO (1) WO2020097374A1 (es)

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US10586105B2 (en) * 2016-12-30 2020-03-10 International Business Machines Corporation Method and system for crop type identification using satellite observation and weather data
US10664702B2 (en) 2016-12-30 2020-05-26 International Business Machines Corporation Method and system for crop recognition and boundary delineation
US10445877B2 (en) 2016-12-30 2019-10-15 International Business Machines Corporation Method and system for crop recognition and boundary delineation
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
US11178818B2 (en) 2018-10-26 2021-11-23 Deere & Company Harvesting machine control system with fill level processing based on yield data
US11653588B2 (en) 2018-10-26 2023-05-23 Deere & Company Yield map generation and control system
US11079725B2 (en) 2019-04-10 2021-08-03 Deere & Company Machine control using real-time model
US11672203B2 (en) 2018-10-26 2023-06-13 Deere & Company Predictive map generation and control
US11589509B2 (en) 2018-10-26 2023-02-28 Deere & Company Predictive machine characteristic map generation and control system
US11641800B2 (en) 2020-02-06 2023-05-09 Deere & Company Agricultural harvesting machine with pre-emergence weed detection and mitigation system
US11467605B2 (en) 2019-04-10 2022-10-11 Deere & Company Zonal machine control
US11957072B2 (en) 2020-02-06 2024-04-16 Deere & Company Pre-emergence weed detection and mitigation system
WO2020132453A1 (en) 2018-12-20 2020-06-25 The Climate Corporation Utilizing spatial statistical models for implementing agronomic trials
US11234366B2 (en) 2019-04-10 2022-02-01 Deere & Company Image selection for machine control
US11966993B2 (en) * 2019-10-22 2024-04-23 International Business Machines Corporation Land use planning recommendations using heterogeneous temporal datasets
US11477940B2 (en) 2020-03-26 2022-10-25 Deere & Company Mobile work machine control based on zone parameter modification
US11871697B2 (en) 2020-10-09 2024-01-16 Deere & Company Crop moisture map generation and control system
US12013245B2 (en) 2020-10-09 2024-06-18 Deere & Company Predictive map generation and control system
US11895948B2 (en) 2020-10-09 2024-02-13 Deere & Company Predictive map generation and control based on soil properties
US11635765B2 (en) 2020-10-09 2023-04-25 Deere & Company Crop state map generation and control system
US11864483B2 (en) 2020-10-09 2024-01-09 Deere & Company Predictive map generation and control system
US11675354B2 (en) 2020-10-09 2023-06-13 Deere & Company Machine control using a predictive map
US11825768B2 (en) 2020-10-09 2023-11-28 Deere & Company Machine control using a predictive map
US11592822B2 (en) 2020-10-09 2023-02-28 Deere & Company Machine control using a predictive map
US11727680B2 (en) 2020-10-09 2023-08-15 Deere & Company Predictive map generation based on seeding characteristics and control
US11849671B2 (en) 2020-10-09 2023-12-26 Deere & Company Crop state 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
US11889788B2 (en) 2020-10-09 2024-02-06 Deere & Company Predictive biomass map generation and control
US11983009B2 (en) 2020-10-09 2024-05-14 Deere & Company Map generation and control system
US11650587B2 (en) 2020-10-09 2023-05-16 Deere & Company Predictive power map generation and control system
US11927459B2 (en) 2020-10-09 2024-03-12 Deere & Company Machine control using a predictive map
US11474523B2 (en) 2020-10-09 2022-10-18 Deere & Company Machine control using a predictive speed map
US11844311B2 (en) 2020-10-09 2023-12-19 Deere & Company Machine control using a predictive map
US11711995B2 (en) 2020-10-09 2023-08-01 Deere & Company Machine control using a predictive map
US11849672B2 (en) 2020-10-09 2023-12-26 Deere & Company Machine control using a predictive map
US11845449B2 (en) 2020-10-09 2023-12-19 Deere & Company Map generation and control system
US11889787B2 (en) 2020-10-09 2024-02-06 Deere & Company Predictive speed map generation and control system

Family Cites Families (6)

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Publication number Priority date Publication date Assignee Title
US20130066666A1 (en) 2010-01-22 2013-03-14 Monsanto Technology Llc Enhancing Performance of Crops Within An Area of Interest
US10115158B2 (en) 2010-10-25 2018-10-30 Trimble Inc. Generating a crop recommendation
EP3185666B1 (en) 2014-08-27 2019-11-13 Premier Crop Systems, LLC System and method for controlling machinery for randomizing and replicating predetermined agronomic input levels
US20160147962A1 (en) 2014-10-30 2016-05-26 AgriSight, Inc. Automated agricultural activity determination system and method
WO2016127094A1 (en) 2015-02-06 2016-08-11 The Climate Corporation Methods and systems for recommending agricultural activities
US10509872B2 (en) * 2017-03-08 2019-12-17 The Climate Corporation Location selection for treatment sampling

Also Published As

Publication number Publication date
WO2020097374A1 (en) 2020-05-14
US10996656B2 (en) 2021-05-04
CA3118749A1 (en) 2020-05-14
US11726452B2 (en) 2023-08-15
US20210325854A1 (en) 2021-10-21
AU2019377524A1 (en) 2021-05-27
US20200150631A1 (en) 2020-05-14

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