Research and development of fruit quality sorting machine

Authors

WANG Wen-chao, Qingdao Agricultural University, College of Mechanical and Electrical Engineering, Qingdao, Shangdong 266109 , China
GE Feng-li, Qingdao Agricultural University, College of Economics and Management, Qingdao, Shangdong 266109 , China
XU Wen-kai, Qingdao Agricultural University, College of Mechanical and Electrical Engineering, Qingdao, Shangdong 266109 , China
ZHAO Lu-hai, Shandong Yantai Apple Big Data Company Limited, Yantai, Shangdong 264003 , China
LI Juan, Qingdao Agricultural University, College of Mechanical and Electrical Engineering, Qingdao, Shangdong 266109 , China

Abstract

Objective: Improve the quality and efficiency of fruit quality sorting and reduce labor costs. Methods: A fruit quality sorting machine is designed to detect and sort for fruit quality. The sorting machine uses STC8A8K64S4A12 as the slave computer and uses Jetson Xavier NX as the master computer. The sorting machine can achieve the detection and sorting of the fruit on damage and sugar content by artificial intelligence. Results: The accuracy, resolution of sugar degree and speed of the sorter for detecting fruit were 99%, 0.1% and 7 200 h^-1, respectively. Conclusion: The device can not only avoid fruit damage and fruit drop caused by mechanical equipment, but also has a simple operation and friendly interface. The designed equipment can meet the requirement of fruit quality sorting.

Publication Date

10-16-2022

First Page

98

Last Page

102

DOI

10.13652/j.spjx.1003.5788.2022.90221

Recommended Citation

Wen-chao, WANG; Feng-li, GE; Wen-kai, XU; Lu-hai, ZHAO; and Juan, LI (2022) "Research and development of fruit quality sorting machine," Food and Machinery: Vol. 38: Iss. 9, Article 18.
DOI: 10.13652/j.spjx.1003.5788.2022.90221
Available at: https://www.ifoodmm.cn/journal/vol38/iss9/18

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