Review on related technologies of fruit grading detection

Gan Chen; Beiwen Chen; Yanfen Gan

doi:10.1117/12.2641497

10 November 2022 Review on related technologies of fruit grading detection

Gan Chen, Beiwen Chen, Yanfen Gan

Proceedings Volume 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022); 123482L (2022) https://doi.org/10.1117/12.2641497
Event: 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 2022, Zhuhai, China

Abstract

Fruit grading is a significant stage of fruit commercialization. It can increase the added value of fruit and enhance its market competitiveness. This paper first introduces fruit grading technologies' background and research status, then summarizes the fruit grading methods based on traditional digital image processing and deep learning. Additionally, the standard fruit datasets are collected and analyzed in this paper. Finally, the fruit grading technology is summarized and prospects.

Citation Download Citation

Gan Chen, Beiwen Chen, and Yanfen Gan "Review on related technologies of fruit grading detection", Proc. SPIE 12348, 2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022), 123482L (10 November 2022); https://doi.org/10.1117/12.2641497

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KEYWORDS

Image processing

Computer vision technology

Machine vision

Computing systems

Digital image processing

Image segmentation

Feature extraction

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