A method of citrus epidermis defects detection based on an improved YOLOv5

Real-time defects detection for apple sorting using NIR cameras with pruning-based YOLOV4 network

(2022) Shuxiang Fan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits

(2022) Poonam Dhiman et al.   Electronics

Rachis detection and three-dimensional localization of cut off point for vision-based banana robot

(2022) Fengyun Wu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated identification of citrus diseases in orchards using deep learning

(2022) Xinxing Zhang et al.   BIOSYSTEMS ENGINEERING

Spectrum classification of citrus tissues infected by fungi and multispectral image identification of early rotten oranges

(2022) Wei Luo et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision

(2022) Yunchao Tang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Identification of Common Skin Defects and Classification of Early Decayed Citrus Using Hyperspectral Imaging Technique

(2021) Hailiang Zhang et al.   Food Analytical Methods

A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5

(2021) Bin Yan et al.   Remote Sensing

A CNN-based lightweight ensemble model for detecting defective carrots

(2021) Weijun Xie et al.   BIOSYSTEMS ENGINEERING

A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5

(2021) Jianqing Zhao et al.   Remote Sensing

Detection of early decay on citrus using LW-NIR hyperspectral reflectance imaging coupled with two-band ratio and improved watershed segmentation algorithm

(2021) Xi Tian et al.   FOOD CHEMISTRY

Apple stem/calyx real-time recognition using YOLO-v5 algorithm for fruit automatic loading system

(2021) Zhipeng Wang et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Computer vision based detection of external defects on tomatoes using deep learning

(2020) Arthur Z. da Costa et al.   BIOSYSTEMS ENGINEERING

Defect Classification of Green Plums Based on Deep Learning

(2020) Haiyan Zhou et al.   SENSORS

Fruit detection in natural environment using partial shape matching and probabilistic Hough transform

(2019) Guichao Lin et al.   PRECISION AGRICULTURE

In-field citrus detection and localisation based on RGB-D image analysis

(2019) Guichao Lin et al.   BIOSYSTEMS ENGINEERING

Faster R-CNN for multi-class fruit detection using a robotic vision system

(2019) Shaohua Wan et al.   Computer Networks

Detection of early decay on citrus using hyperspectral transmittance imaging technology coupled with principal component analysis and improved watershed segmentation algorithms

(2019) Xi Tian et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Non-destructive recognition and classification of citrus fruit blemishes based on ant colony optimized spectral information

(2018) Yao Zhang et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Development of a Hyperspectral Computer Vision System Based on Two Liquid Crystal Tuneable Filters for Fruit Inspection. Application to Detect Citrus Fruits Decay

(2013) J. Gómez-Sanchis et al.   Food and Bioprocess Technology

Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks

(2011) Delia Lorente et al.   Food and Bioprocess Technology

Automatic detection of skin defects in citrus fruits using a multivariate image analysis approach

(2010) Fernando López-García et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Robotization in fruit grading system

(2008) Naoshi Kondo   Journal of Food Measurement and Characterization