Real-Time Grading of Defect Apples Using Semantic Segmentation Combination with a Pruned YOLO V4 Network

Real-Time Grading of Defect Apples Using Semantic Segmentation Combination with a Pruned YOLO V4 Network

At present, the apple grading system usually conveys apples by a belt or rollers. This usually leads to low hardness or expensive fruits being bruised, resulting in economic losses. In order to realize real-time detection and classification of high-quality apples, separate fruit trays were designed...

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Bibliographic Details
Main Authors: Xiaoting Liang, Xueying Jia, Wenqian Huang, Xin He, Lianjie Li, Shuxiang Fan, Jiangbo Li, Chunjiang Zhao, Chi Zhang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Foods
Subjects:
defective apples
apple grading
deep learning
object detection
semantic segmentation
Online Access:https://www.mdpi.com/2304-8158/11/19/3150

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