Mu et al., 2020 - Google Patents
Intact detection of highly occluded immature tomatoes on plants using deep learning techniquesMu et al., 2020
View HTML- Document ID
- 3031520002041602514
- Author
- Mu Y
- Chen T
- Ninomiya S
- Guo W
- Publication year
- Publication venue
- Sensors
External Links
Snippet
Automatic detection of intact tomatoes on plants is highly expected for low-cost and optimal management in tomato farming. Mature tomato detection has been wildly studied, while immature tomato detection, especially when occluded with leaves, is difficult to perform …
- 235000007688 Lycopersicon esculentum 0 title abstract description 212
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30587—Details of specialised database models
- G06F17/30595—Relational databases
- G06F17/30598—Clustering or classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Mu et al. | Intact detection of highly occluded immature tomatoes on plants using deep learning techniques | |
Yan et al. | A real-time apple targets detection method for picking robot based on improved YOLOv5 | |
Buzzy et al. | Real-time plant leaf counting using deep object detection networks | |
Kang et al. | Fruit detection and segmentation for apple harvesting using visual sensor in orchards | |
Chen et al. | Strawberry yield prediction based on a deep neural network using high-resolution aerial orthoimages | |
Fu et al. | YOLO-Banana: A lightweight neural network for rapid detection of banana bunches and stalks in the natural environment | |
Yamamoto et al. | On plant detection of intact tomato fruits using image analysis and machine learning methods | |
Ma et al. | Detection and counting of small target apples under complicated environments by using improved YOLOv7-tiny | |
Wang et al. | A convolutional neural network-based method for corn stand counting in the field | |
Peng et al. | A comparative study of semantic segmentation models for identification of grape with different varieties | |
Zemmour et al. | Automatic parameter tuning for adaptive thresholding in fruit detection | |
Huang et al. | Design of citrus fruit detection system based on mobile platform and edge computer device | |
Divyanth et al. | Detection of coconut clusters based on occlusion condition using attention-guided faster R-CNN for robotic harvesting | |
Sun et al. | Lightweight apple detection in complex orchards using YOLOV5-PRE | |
Li et al. | YOLOv5-ASFF: a multistage strawberry detection algorithm based on improved YOLOv5 | |
Flores et al. | Automated agave detection and counting using a convolutional neural network and unmanned aerial systems | |
Chen et al. | GA-YOLO: A lightweight YOLO model for dense and occluded grape target detection | |
Haq et al. | Weed detection in wheat crops using image analysis and artificial intelligence (AI) | |
López-Barrios et al. | Green sweet pepper fruit and peduncle detection using mask R-CNN in greenhouses | |
Neupane et al. | In-orchard sizing of mango fruit: 1. Comparison of machine vision based methods for on-the-go estimation | |
Zhou et al. | A deep-learning extraction method for orchard visual navigation lines | |
Zhang et al. | Grape-bunch identification and location of picking points on occluded fruit axis based on YOLOv5-GAP | |
Pan et al. | Pear recognition in an orchard from 3d stereo camera datasets to develop a fruit picking mechanism using mask R-CNN | |
Qiao et al. | A counting method of red jujube based on improved YOLOv5s | |
Kim et al. | Tomato maturity estimation using deep neural network |