BR112022002875A2 - Identificação de grupo de plantas - Google Patents

Identificação de grupo de plantas

Info

Publication number
BR112022002875A2
BR112022002875A2 BR112022002875A BR112022002875A BR112022002875A2 BR 112022002875 A2 BR112022002875 A2 BR 112022002875A2 BR 112022002875 A BR112022002875 A BR 112022002875A BR 112022002875 A BR112022002875 A BR 112022002875A BR 112022002875 A2 BR112022002875 A2 BR 112022002875A2
Authority
BR
Brazil
Prior art keywords
plant
group
identification
image
identification model
Prior art date
Application number
BR112022002875A
Other languages
English (en)
Inventor
Kahn Cline Benjamin
Grant Padwick Chirstopher
Olgert Denas
Subhash Tanna Sonali
Louis Patzoldt William
Original Assignee
Blue River Tech Inc
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 Blue River Tech Inc filed Critical Blue River Tech Inc
Publication of BR112022002875A2 publication Critical patent/BR112022002875A2/pt

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • 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
    • A01M7/00—Special adaptations or arrangements of liquid-spraying apparatus for purposes covered by this subclass
    • A01M7/0089—Regulating or controlling systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/66—Analysis of geometric attributes of image moments or centre of gravity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/255—Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
    • 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
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • 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
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • 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
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/188—Vegetation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/35—Categorising the entire scene, e.g. birthday party or wedding scene
    • G06V20/38—Outdoor scenes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20164—Salient point detection; Corner detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30128—Food products
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30181—Earth observation
    • G06T2207/30188—Vegetation; Agriculture
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30248—Vehicle exterior or interior
    • G06T2207/30252—Vehicle exterior; Vicinity of vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/68—Food, e.g. fruit or vegetables

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Geometry (AREA)
  • Pest Control & Pesticides (AREA)
  • Wood Science & Technology (AREA)
  • Zoology (AREA)
  • Environmental Sciences (AREA)
  • Insects & Arthropods (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Analysis (AREA)

Abstract

identificação de grupo de plantas. uma máquina agrícola se move através de um campo e inclui um sensor de imagem que captura uma imagem de uma planta no campo. um sistema de controle acessa a imagem capturada e aplica a imagem a um modelo de identificação de plantas aprendido por máquina. o modelo de identificação de plantas identifica pixels que representam a planta e categoriza a planta em um grupo de plantas (por exemplo, espécies de plantas). os pixels identificados são rotulados como o grupo de plantas e a localização dos pixels é determinada. o sistema de controle aciona um mecanismo de tratamento com base no grupo de plantas identificado e localização. adicionalmente, as imagens do sensor de imagem e do modelo de identificação de plantas podem ser usadas para gerar um mapa de identificação de planta. o mapa de identificação de plantas é um mapa de campo que indica as localizações dos grupos de plantas identificados pelo modelo de identificação de plantas.
BR112022002875A 2019-08-19 2020-08-17 Identificação de grupo de plantas BR112022002875A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201962888948P 2019-08-19 2019-08-19
PCT/US2020/046696 WO2021034775A1 (en) 2019-08-19 2020-08-17 Plant group identification

Publications (1)

Publication Number Publication Date
BR112022002875A2 true BR112022002875A2 (pt) 2022-05-17

Family

ID=74646242

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112022002875A BR112022002875A2 (pt) 2019-08-19 2020-08-17 Identificação de grupo de plantas

Country Status (6)

Country Link
US (3) US11580718B2 (pt)
EP (1) EP4018367A4 (pt)
CN (1) CN114270411A (pt)
AU (1) AU2020334981A1 (pt)
BR (1) BR112022002875A2 (pt)
WO (1) WO2021034775A1 (pt)

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US20220232816A1 (en) * 2020-02-06 2022-07-28 Deere & Company Predictive weed map and material application machine control
US11393049B2 (en) * 2020-09-24 2022-07-19 Centure Applications LTD Machine learning models for selecting treatments for treating an agricultural field
AR123798A1 (es) * 2020-10-14 2023-01-11 Basf Agro Trademarks Gmbh Sistema de tratamiento para el tratamiento específico de plantas
CN112837267B (zh) * 2021-01-11 2023-12-26 浙江大学 一种预测转基因玉米抗药性的数字检测方法及系统
EP4358714A1 (en) * 2021-06-25 2024-05-01 BASF Agro Trademarks GmbH Communication protocol for treatment devices
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US20230133026A1 (en) * 2021-10-28 2023-05-04 X Development Llc Sparse and/or dense depth estimation from stereoscopic imaging
US20230166732A1 (en) * 2021-11-30 2023-06-01 Deere & Company Work machine distance prediction and action control
US20230276783A1 (en) * 2022-03-03 2023-09-07 Blue River Technology Inc. Farming machines configured to treat plants with a combination of treatment mechanisms
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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
WO2024155872A1 (en) * 2023-01-20 2024-07-25 Syngenta Crop Protection Ag Methods and systems related to agrochemical application
CN116171662A (zh) * 2023-02-22 2023-05-30 七海行(深圳)科技有限公司 一种精准除草方法及装置

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Also Published As

Publication number Publication date
US11580718B2 (en) 2023-02-14
WO2021034775A1 (en) 2021-02-25
AU2020334981A1 (en) 2022-02-10
US20230177697A1 (en) 2023-06-08
EP4018367A4 (en) 2023-08-23
US11823388B2 (en) 2023-11-21
US20210056338A1 (en) 2021-02-25
EP4018367A1 (en) 2022-06-29
US20240046479A1 (en) 2024-02-08
CN114270411A (zh) 2022-04-01

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