Innovative Research on Intelligent Recognition of Winter Jujube Defects by Applying Convolutional Neural Networks

• Published in: Electronics (Basel) Vol. 13; no. 15; p. 2941
• Main Authors: Zhang, Jianjun, Wang, Weihui, Che, Qinglun
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2024
• Subjects: Accuracy; Agricultural production; Artificial neural networks; Classification; Computers; Datasets; Defects; Efficiency; Fruits; Neural networks; Physical work; Research methodology; Surface defects; Surface properties; Training; Vegetables; Vision systems; China

The current sorting process for winter jujubes relies heavily on manual labor, lacks uniform sorting standards, and is inefficient. Furthermore, existing devices have simple structures and can only be sorted based on size. This paper introduces a method for detecting surface defects on winter jujube...