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AR108928A1 - Método y sistema de procesamiento de datos de cosecha para la detección y eliminación automática de valores atípicos - Google Patents

Método y sistema de procesamiento de datos de cosecha para la detección y eliminación automática de valores atípicos

Info

Publication number
AR108928A1
AR108928A1 ARP170101819A ARP170101819A AR108928A1 AR 108928 A1 AR108928 A1 AR 108928A1 AR P170101819 A ARP170101819 A AR P170101819A AR P170101819 A ARP170101819 A AR P170101819A AR 108928 A1 AR108928 A1 AR 108928A1
Authority
AR
Argentina
Prior art keywords
data
generated
filtered
detection
processing
Prior art date
Application number
ARP170101819A
Other languages
English (en)
Inventor
Jeffrey Gerard
Yiqun Li
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 AR108928A1 publication Critical patent/AR108928A1/es

Links

Classifications

    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01D—HARVESTING; MOWING
    • A01D41/00—Combines, i.e. harvesters or mowers combined with threshing devices
    • A01D41/12—Details of combines
    • A01D41/127—Control or measuring arrangements specially adapted for combines
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/26—Visual data mining; Browsing structured data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/20—Drawing from basic elements, e.g. lines or circles
    • G06T11/206—Drawing of charts or graphs
    • G06T11/26—

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Business, Economics & Management (AREA)
  • Databases & Information Systems (AREA)
  • Strategic Management (AREA)
  • Computational Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Operations Research (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Physics (AREA)
  • Mathematical Analysis (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Marketing (AREA)
  • Algebra (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Development Economics (AREA)
  • Evolutionary Biology (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Probability & Statistics with Applications (AREA)
  • Quality & Reliability (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Software Systems (AREA)
  • Environmental Sciences (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Analysis (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)

Abstract

Un método comprende determinar en datos de rendimiento recibidos, una o más pasadas donde cada pasada incluye una pluralidad de observaciones. Para cada pasada de las una o más pasadas, se determinan una o más derivadas discretas y sobre la base de las una o más derivadas discretas se generan unos primeros datos atípicos. En primer lugar, se generan datos filtrados mediante la eliminación de los primeros datos atípicos de los datos de rendimiento. Además, para cada observación en los datos de rendimiento, se determina una pluralidad de observaciones de vecinos más cercanos y se utilizan para determinar una pluralidad de diferencias absolutas en los valores de rendimiento. Sobre la base de la pluralidad de diferencias absolutas, se determinan unos segundos datos atípicos. Los segundos datos filtrados se generan por la eliminación de los segundos datos atípicos de los primeros datos filtrados. Mediante el uso de una capa de presentación de un sistema de computación, se genera y se muestra una representación gráfica de los segundos datos filtrados en el sistema de computación.
ARP170101819A 2016-08-11 2017-06-30 Método y sistema de procesamiento de datos de cosecha para la detección y eliminación automática de valores atípicos AR108928A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US15/234,920 US10238028B2 (en) 2016-08-11 2016-08-11 Automatically detecting outlier values in harvested data

Publications (1)

Publication Number Publication Date
AR108928A1 true AR108928A1 (es) 2018-10-10

Family

ID=61159926

Family Applications (2)

Application Number Title Priority Date Filing Date
ARP170101819A AR108928A1 (es) 2016-08-11 2017-06-30 Método y sistema de procesamiento de datos de cosecha para la detección y eliminación automática de valores atípicos
ARP220102472A AR127043A2 (es) 2016-08-11 2022-09-12 Método para controlar un vehículo agrícola o un implemento del vehículo agrícola basado en datos de cosecha filtrados

Family Applications After (1)

Application Number Title Priority Date Filing Date
ARP220102472A AR127043A2 (es) 2016-08-11 2022-09-12 Método para controlar un vehículo agrícola o un implemento del vehículo agrícola basado en datos de cosecha filtrados

Country Status (9)

Country Link
US (4) US10238028B2 (es)
EP (1) EP3496524B1 (es)
AR (2) AR108928A1 (es)
AU (1) AU2017308526B2 (es)
BR (1) BR112019002763B1 (es)
ES (1) ES2942415T3 (es)
PL (1) PL3496524T3 (es)
WO (1) WO2018031129A1 (es)
ZA (1) ZA201901405B (es)

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US10337962B2 (en) * 2013-03-15 2019-07-02 Fluke Corporation Visible audiovisual annotation of infrared images using a separate wireless mobile device
US9772395B2 (en) 2015-09-25 2017-09-26 Intel Corporation Vision and radio fusion based precise indoor localization
US10238028B2 (en) * 2016-08-11 2019-03-26 The Climate Corporation Automatically detecting outlier values in harvested data
WO2018049289A1 (en) 2016-09-09 2018-03-15 Cibo Technologies, Inc. Systems for adjusting agronomic inputs using remote sensing, and related apparatus and methods
US10928821B2 (en) * 2016-11-04 2021-02-23 Intel Corporation Unmanned aerial vehicle-based systems and methods for generating landscape models
CN107731220B (zh) * 2017-10-18 2019-01-22 北京达佳互联信息技术有限公司 音频识别方法、装置和服务器
US10477756B1 (en) 2018-01-17 2019-11-19 Cibo Technologies, Inc. Correcting agronomic data from multiple passes through a farmable region
BR112021000429A2 (pt) * 2018-07-26 2021-04-06 The Climate Corporation Geração de mapas de produtividade agronômica a partir de imagens de saúde de campo
US11406056B2 (en) * 2018-12-05 2022-08-09 H2Gr0, Llc Social farming network and control system for agricultural chemical management
US11212954B2 (en) * 2019-05-08 2022-01-04 Deere & Company Apparatus and methods for field operations based on historical field operation data
EP4037465A4 (en) * 2019-09-30 2023-11-01 Monsanto Technology LLC PLANT PICKERS AND ASSOCIATED METHODS RELATED TO YIELD DETECTION
BR112022006135A2 (pt) * 2019-09-30 2022-06-21 Nutrien Ag Solutions Inc Plataforma de serviço agrícola
US11696529B2 (en) * 2019-10-14 2023-07-11 Deere & Company Radio frequency grain mass and constituent measurement systems for combine harvesters
US11354384B2 (en) * 2019-12-11 2022-06-07 Sap Se Intelligent outlier data detection
US11758846B2 (en) * 2019-12-23 2023-09-19 Cnh Industrial America Llc Header control system to adjust a header of a harvester based on sensor information
KR102544293B1 (ko) * 2020-11-06 2023-06-20 한국과학기술연구원 이상치 탐지 및 제거 방법
US12208795B2 (en) 2021-06-24 2025-01-28 Paccar Inc. Automated virtual launch torque generation
US11999367B2 (en) * 2021-09-23 2024-06-04 Paccar Inc Automated dynamic throttle request filtering
CN116177257B (zh) * 2022-12-13 2026-01-02 中国电建集团武汉重工装备有限公司 一种螺旋卸船机的螺旋进料及管道保护方法及系统
CN116150288B (zh) * 2023-04-17 2023-07-07 山东工程职业技术大学 一种基于计算机的网络数据分析处理系统
WO2024229378A1 (en) * 2023-05-03 2024-11-07 C3.Ai, Inc. Machine learning-based production optimizers
CN120669667B (zh) * 2025-08-25 2025-10-28 嘉兴泓稼生态科技有限公司 一种基于人工智能的农业自动化联动控制方法及控制系统

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6525276B1 (en) 1998-08-07 2003-02-25 The University Of Georgia Research Foundation, Inc. Crop yield monitoring system
US6505146B1 (en) 1999-09-24 2003-01-07 Monsanto Company Method and system for spatial evaluation of field and crop performance
US20060282467A1 (en) 2005-06-10 2006-12-14 Pioneer Hi-Bred International, Inc. Field and crop information gathering system
WO2011091278A1 (en) * 2010-01-22 2011-07-28 Monsanto Technology Llc Enhancing performance of crops within an area of interest
US9113590B2 (en) * 2012-08-06 2015-08-25 Superior Edge, Inc. Methods, apparatus, and systems for determining in-season crop status in an agricultural crop and alerting users
US10238028B2 (en) * 2016-08-11 2019-03-26 The Climate Corporation Automatically detecting outlier values in harvested data

Also Published As

Publication number Publication date
CA3033339A1 (en) 2018-02-15
US20220354053A1 (en) 2022-11-10
US20190191626A1 (en) 2019-06-27
US11818981B2 (en) 2023-11-21
ZA201901405B (en) 2020-09-30
AU2017308526A1 (en) 2019-03-14
PL3496524T3 (pl) 2023-05-22
AU2017308526B2 (en) 2023-09-07
US10694669B2 (en) 2020-06-30
US11343965B2 (en) 2022-05-31
BR112019002763B1 (pt) 2022-09-06
US10238028B2 (en) 2019-03-26
EP3496524B1 (en) 2023-02-01
BR112019002763A2 (pt) 2019-08-20
US20200344948A1 (en) 2020-11-05
US20180042174A1 (en) 2018-02-15
WO2018031129A1 (en) 2018-02-15
EP3496524A4 (en) 2020-04-29
AR127043A2 (es) 2023-12-13
EP3496524A1 (en) 2019-06-19
ES2942415T3 (es) 2023-06-01

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