RU2018143340A3 - - Google Patents

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Publication number
RU2018143340A3
RU2018143340A3 RU2018143340A RU2018143340A RU2018143340A3 RU 2018143340 A3 RU2018143340 A3 RU 2018143340A3 RU 2018143340 A RU2018143340 A RU 2018143340A RU 2018143340 A RU2018143340 A RU 2018143340A RU 2018143340 A3 RU2018143340 A3 RU 2018143340A3
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RU
Russia
Application number
RU2018143340A
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RU2764872C2 (ru
RU2018143340A (ru
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.)
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Publication date
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Publication of RU2018143340A publication Critical patent/RU2018143340A/ru
Publication of RU2018143340A3 publication Critical patent/RU2018143340A3/ru
Application granted granted Critical
Publication of RU2764872C2 publication Critical patent/RU2764872C2/ru

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Classifications

    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
    • A01M21/00—Apparatus for the destruction of unwanted vegetation, e.g. weeds
    • A01M21/04—Apparatus for destruction by steam, chemicals, burning, or electricity
    • A01M21/043—Apparatus for destruction by steam, chemicals, burning, or electricity by chemicals
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01M—CATCHING, TRAPPING OR SCARING OF ANIMALS; APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS
    • A01M99/00—Subject matter not provided for in other groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/001—Texturing; Colouring; Generation of texture or colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/50—Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/993—Evaluation of the quality of the acquired pattern
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/10—Recognition assisted with metadata

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Wood Science & Technology (AREA)
  • Zoology (AREA)
  • Environmental Sciences (AREA)
  • Insects & Arthropods (AREA)
  • Pest Control & Pesticides (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Quality & Reliability (AREA)
  • Toxicology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
RU2018143340A 2016-05-12 2017-05-05 Распознавание сорняка в естественной среде RU2764872C2 (ru)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP16169416.1A EP3244343A1 (en) 2016-05-12 2016-05-12 Recognition of weed in a natural environment
EP16169416.1 2016-05-12
PCT/EP2017/060750 WO2017194398A1 (en) 2016-05-12 2017-05-05 Recognition of weed in a natural environment

Publications (3)

Publication Number Publication Date
RU2018143340A RU2018143340A (ru) 2020-06-15
RU2018143340A3 true RU2018143340A3 (ru) 2020-08-25
RU2764872C2 RU2764872C2 (ru) 2022-01-21

Family

ID=56026658

Family Applications (1)

Application Number Title Priority Date Filing Date
RU2018143340A RU2764872C2 (ru) 2016-05-12 2017-05-05 Распознавание сорняка в естественной среде

Country Status (9)

Country Link
US (1) US11048940B2 (ru)
EP (2) EP3244343A1 (ru)
JP (1) JP2019520632A (ru)
CN (1) CN109416735A (ru)
AU (1) AU2017262614A1 (ru)
BR (1) BR112018073098A8 (ru)
CA (1) CA3023792A1 (ru)
RU (1) RU2764872C2 (ru)
WO (1) WO2017194398A1 (ru)

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AU2018298392B2 (en) * 2017-07-06 2024-02-15 Bayer Aktiengesellschaft Apparatus for weed control
US20190266401A1 (en) * 2018-01-11 2019-08-29 Intelinair, Inc Change Detection System
CN108304796A (zh) * 2018-01-29 2018-07-20 深圳春沐源控股有限公司 一种智能杂草警示方法及系统
US20210035473A1 (en) 2018-02-02 2021-02-04 Bayer Aktiengesellschaft Control of resistent harmful organisms
CN108710920B (zh) * 2018-06-05 2021-05-14 北京中油瑞飞信息技术有限责任公司 示功图识别方法及装置
CN109934256A (zh) * 2019-01-28 2019-06-25 华南农业大学 一种基于ga-ann特征降维与som特征优选的稻田杂草识别方法
AU2020231908A1 (en) 2019-03-01 2021-06-24 Precision Planting Llc Agricultural spraying system
BR112022002875A2 (pt) 2019-08-19 2022-05-17 Blue River Tech Inc Identificação de grupo de plantas
WO2021043904A1 (en) * 2019-09-05 2021-03-11 Basf Se System and method for identification of plant species
CA3149945A1 (en) 2019-09-27 2021-04-01 Precision Planting Llc Agricultural spraying system
CN112580408B (zh) * 2019-09-30 2024-03-12 杭州海康威视数字技术股份有限公司 深度学习模型训练方法、装置及电子设备
CN111325240A (zh) * 2020-01-23 2020-06-23 杭州睿琪软件有限公司 与杂草相关的计算机可执行的方法和计算机系统
CN112541383B (zh) * 2020-06-12 2021-12-28 广州极飞科技股份有限公司 杂草区域的识别方法和装置
CN112132937A (zh) * 2020-09-22 2020-12-25 上海米哈游天命科技有限公司 模型元素的形变处理、画面渲染方法、装置、设备及介质
JP2022065581A (ja) * 2020-10-15 2022-04-27 西武建設株式会社 無人飛行体を用いた除草装置
US12010986B2 (en) 2020-10-30 2024-06-18 Deere & Company Agricultural machine spraying mode field map visualization and control
US11998000B2 (en) * 2020-10-30 2024-06-04 Deere & Company Camera system visualization and control for an agricultural spraying machine
CN112418043B (zh) * 2020-11-16 2022-10-28 安徽农业大学 玉米杂草遮挡确定方法、装置、机器人、设备及存储介质
CN114627391A (zh) * 2020-12-11 2022-06-14 爱唯秀股份有限公司 一种草检测装置及方法
CN113971759B (zh) * 2021-10-26 2024-04-16 中国农业大学 一种基于计算机视觉的大豆株间杂草自动识别装置及方法
CN114419407B (zh) * 2021-12-14 2024-04-05 中国农业大学 一种用于移栽作物苗期的行内杂草自动识别方法及装置
BR102022006844A2 (pt) * 2022-04-08 2022-11-29 Eirene Projetos E Consultoria Ltda Sistema, dispositivo e método para identificação de plantas e controle de pulverização
CN115251024B (zh) * 2022-08-29 2023-11-21 北京大学现代农业研究院 除草方式的确定方法、装置、电子设备及除草系统
WO2024047092A1 (en) * 2022-09-01 2024-03-07 Basf Agro Trademarks Gmbh Method for providing herbicide application data in order to control a herbicide product application device
WO2024099985A1 (en) 2022-11-10 2024-05-16 Bayer Aktiengesellschaft Targeted crop protection product application based on genetic profiles
CN116912702B (zh) * 2023-09-14 2024-01-26 潍坊现代农业山东省实验室 杂草覆盖度确定方法、系统、装置及电子设备

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US5253302A (en) * 1989-02-28 1993-10-12 Robert Massen Method and arrangement for automatic optical classification of plants
US5606821A (en) * 1994-07-25 1997-03-04 Loral Corporation Smart weed recognition/classification system
RU2129785C1 (ru) * 1997-12-10 1999-05-10 Всероссийский научно-исследовательский и проектно-технологический институт механизации и электрификации сельского хозяйства Устройство для управляемой борьбы с сорняками
CN100416590C (zh) * 2005-09-23 2008-09-03 中国农业机械化科学研究院 利用位置和纹理特征自动识别作物苗期田间杂草的方法
EP2327039A1 (en) * 2008-06-20 2011-06-01 Université De Liège Gembloux Agro-Bio Tech Weed detection and/or destruction
CN101859375B (zh) * 2010-06-01 2011-12-28 南京林业大学 农田苗期行内作物-杂草识别方法
TWI426779B (zh) * 2010-08-13 2014-02-11 Inst Information Industry Object color correction method, system and its computer program products
US9064173B2 (en) * 2012-03-07 2015-06-23 Blue River Technology, Inc. Method and apparatus for automated plant necrosis
CN203149656U (zh) * 2013-01-31 2013-08-21 北京农业信息技术研究中心 单/双子叶杂草识别喷药管理装置
JP5950166B2 (ja) * 2013-03-25 2016-07-13 ソニー株式会社 情報処理システム、および情報処理システムの情報処理方法、撮像装置および撮像方法、並びにプログラム
CN104243787B (zh) * 2013-06-06 2017-09-05 华为技术有限公司 拍照方法、照片管理方法及设备
US10068354B2 (en) * 2014-01-02 2018-09-04 Deere & Company Obtaining and displaying agricultural data
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Also Published As

Publication number Publication date
JP2019520632A (ja) 2019-07-18
RU2764872C2 (ru) 2022-01-21
AU2017262614A1 (en) 2018-11-29
EP3244343A1 (en) 2017-11-15
CN109416735A (zh) 2019-03-01
BR112018073098A2 (pt) 2019-04-02
BR112018073098A8 (pt) 2023-04-04
CA3023792A1 (en) 2017-11-16
RU2018143340A (ru) 2020-06-15
EP3455784A1 (en) 2019-03-20
US11048940B2 (en) 2021-06-29
US20190220666A1 (en) 2019-07-18
WO2017194398A1 (en) 2017-11-16

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