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2000
Volume 19, Issue 9
  • ISSN: 1872-2121
  • E-ISSN: 2212-4047

Abstract

Introduction

Litchi is a famous fruit with a large planting area and high output, which has become a pillar industry in many regions. Due to many uncontrollable factors in the production process, such as picking time, fruit size, weather conditions, ., there are large differences in the quality of litchi, which directly affect the sales price.

Methods

This paper selected the intelligent sorting system based on image recognition technology by investigating different types of intelligent sorting systems in the market. The sorting system could identify litchi with small, fragile, and irregular shapes. By applying image recognition technology to the field of litchi logistics, the problem of information asymmetry between fruit farmers and logistics enterprises could be effectively solved. This paper designed an intelligent sorting system based on a convolutional neural network (CNN), which used image recognition and classification technology to recognize litchi. By comparing the processing effects of different algorithms, the CNN network suitable for the system architecture was selected for training.

Results and Discussion

The research results showed that under the same other conditions, the passing rate of the intelligent litchi sorting system under the YOLOv5 was 11.1%, and the failing rate was 88.9%. The passing rate of the intelligent litchi sorting system based on the CNN algorithm was 95.6%, and the failing rate was 4.4%.

Conclusion

It shows the positive relationship between the CNN algorithm and the litchi intelligent sorting system, and shows that the system can effectively identify and sort litchi with different shapes.

This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode
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2025-02-10
2025-11-29
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