Research and development of fruit quality sorting machine

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.

Keywords

• fruit
• quality
• sorting machine
• artificial intelligence
• industrial personal computer
• singlechip