Online detection and grading system for citrus full-surface color

Authors

LI Lang, College of Mechanical and Electrical Engineering, Central South University of Forestry andTechnology, Changsha, Hunan 410004 , China
WEN Tao, College of Mechanical and Electrical Engineering, Central South University of Forestry andTechnology, Changsha, Hunan 410004 , China
DAI Xing-yong, College of Mechanical and Electrical Engineering, Central South University of Forestry andTechnology, Changsha, Hunan 410004 , China
WANG Zhi-yu, College of Mechanical and Electrical Engineering, Central South University of Forestry andTechnology, Changsha, Hunan 410004 , China

Abstract

Objective: This study aimed to realize the fast and accurate sorting of citrus color. Methods: An online color detection and grading system of citrus based on machine vision was designed in this study. The system is composed of feeding unit, chain conveying mechanism, image acquisition system and fruit dividing unit. The industrial camera which was combined with the rolling mechanism was used to uniformly capture 50~60 frames of images for obtaining the complete surface information of citrus. The non-destructive testing software preprocessed each frame of images acquired in real time to obtain the two-dimensional coloring ratio, which is dynamically tracked and stored. The arithmetic mean value of two-dimensional coloring ratio was taken to reduce the influence of the repeated areas on the coloring rate calculation of citrus surface, and finally the calculated coloring rate was discriminated and graded. Results: The experimental results showed that when the transmission speed was 6s-1,the maximum error of citrus coloring proportion calculated by the system was 5%, and the sorting accuracy rate was 90.54%. Conclusion: The system can meet the needs of fast and accurate sorting of citrus color.

Publication Date

12-28-2022

First Page

121

Last Page

126

DOI

10.13652/j.spjx.1003.5788.2022.80042

Recommended Citation

Lang, LI; Tao, WEN; Xing-yong, DAI; and Zhi-yu, WANG (2022) "Online detection and grading system for citrus full-surface color," Food and Machinery: Vol. 38: Iss. 12, Article 20.
DOI: 10.13652/j.spjx.1003.5788.2022.80042
Available at: https://www.ifoodmm.cn/journal/vol38/iss12/20

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