BR112019023576A8 - Método e meio legível por computador - Google Patents
Método e meio legível por computadorInfo
- Publication number
- BR112019023576A8 BR112019023576A8 BR112019023576A BR112019023576A BR112019023576A8 BR 112019023576 A8 BR112019023576 A8 BR 112019023576A8 BR 112019023576 A BR112019023576 A BR 112019023576A BR 112019023576 A BR112019023576 A BR 112019023576A BR 112019023576 A8 BR112019023576 A8 BR 112019023576A8
- Authority
- BR
- Brazil
- Prior art keywords
- image data
- plant
- plants
- care platform
- detection model
- Prior art date
Links
Classifications
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- 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
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- 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
- 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
- G06F18/24133—Distances to prototypes
- G06F18/24137—Distances to cluster centroïds
- G06F18/2414—Smoothing the distance, e.g. radial basis function networks [RBFN]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- 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
- G06T7/75—Determining position or orientation of objects or cameras using feature-based methods involving models
-
- 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
- G06V10/443—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 by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
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- 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
- G06V20/20—Scenes; Scene-specific elements in augmented reality 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
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- 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
- G06T2207/20081—Training; Learning
-
- 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
- G06T2207/20132—Image cropping
-
- 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
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/12—Bounding box
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Quality & Reliability (AREA)
- Data Mining & Analysis (AREA)
- Wood Science & Technology (AREA)
- Environmental Sciences (AREA)
- Zoology (AREA)
- Insects & Arthropods (AREA)
- Pest Control & Pesticides (AREA)
- Biodiversity & Conservation Biology (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Image Analysis (AREA)
- Catching Or Destruction (AREA)
- Image Processing (AREA)
Abstract
Uma plataforma de tratamento de plantas usa um modelo de detecção de plantas para detectar plantas à medida que a plataforma de tratamento de plantas atravessa um campo. A plataforma de tratamento de plantas recebe dados de imagens de uma câmera que captura imagens de plantas (por exemplo, culturas ou ervas daninhas) que crescem no campo. A plataforma de tratamento da planta aplica funções de pré-processamento aos dados de imagem para preparar os dados de imagem para processamento pelo modelo de detecção de plantas. Por exemplo, a plataforma de tratamento de plantas pode reformatar os dados de imagem, ajustar a resolução ou proporção, ou cortar os dados de imagem. A plataforma de tratamento de plantas aplica o modelo de detecção de plantas aos dados de imagem pré-processados para gerar caixas delimitadoras para plantas. A plataforma de tratamento da planta pode aplicar tratamento às plantas com base no resultado do modelo de aprendizado de máquina.
Applications Claiming Priority (5)
Application Number | Priority Date | Filing Date | Title |
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US201762503770P | 2017-05-09 | 2017-05-09 | |
US62/503,770 | 2017-05-09 | ||
US201762580290P | 2017-11-01 | 2017-11-01 | |
US62/580,290 | 2017-11-01 | ||
PCT/US2018/031845 WO2018208947A1 (en) | 2017-05-09 | 2018-05-09 | Automated plant detection using image data |
Publications (2)
Publication Number | Publication Date |
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BR112019023576A2 BR112019023576A2 (pt) | 2020-06-02 |
BR112019023576A8 true BR112019023576A8 (pt) | 2022-11-22 |
Family
ID=64097873
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
BR112019023576A BR112019023576A8 (pt) | 2017-05-09 | 2018-05-09 | Método e meio legível por computador |
Country Status (5)
Country | Link |
---|---|
US (3) | US11093745B2 (pt) |
EP (2) | EP3675621B1 (pt) |
CN (1) | CN111163628A (pt) |
BR (1) | BR112019023576A8 (pt) |
WO (1) | WO2018208947A1 (pt) |
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2018
- 2018-05-09 EP EP18799189.8A patent/EP3675621B1/en active Active
- 2018-05-09 BR BR112019023576A patent/BR112019023576A8/pt unknown
- 2018-05-09 WO PCT/US2018/031845 patent/WO2018208947A1/en unknown
- 2018-05-09 EP EP24185446.2A patent/EP4424157A2/en active Pending
- 2018-05-09 US US15/975,092 patent/US11093745B2/en active Active
- 2018-05-09 CN CN201880030347.7A patent/CN111163628A/zh active Pending
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2021
- 2021-07-17 US US17/378,658 patent/US11748976B2/en active Active
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2023
- 2023-07-13 US US18/352,168 patent/US20240020951A1/en active Pending
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US20210406540A1 (en) | 2021-12-30 |
EP3675621A4 (en) | 2021-02-17 |
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US11093745B2 (en) | 2021-08-17 |
BR112019023576A2 (pt) | 2020-06-02 |
US20240020951A1 (en) | 2024-01-18 |
US20180330166A1 (en) | 2018-11-15 |
WO2018208947A1 (en) | 2018-11-15 |
EP3675621B1 (en) | 2024-08-07 |
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