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Review | Publishing Language: Chinese | Open Access

Research Progress on the Application of Hyperspectral Technology for Non-destructive Testing of Grape Quality

Jing WEN1 Wen MA1,2,3Ang ZHANG3,4Gang JIN1,2,3 ( )Guoqian XU1,2 ( )
College of Enology and Horticulture, Ningxia University, Yinchuan 750021, China
Engineering Research Center of Grape and Wine, Ministry of Education, Yinchuan 750021, China
Hebei Key Laboratory of Wine Quality & Safety Testing, Qinhuangdao 066000, China
Technology Centre of Qinhuangdao Customs, Qinhuangdao 066000, China
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Abstract

Grape production is an important part of the agricultural economy, which has economic and widespread social benefits. Monitoring and evaluation of grape berries during growth is an important guarantee for the production of high-quality grape berries. Traditional testing techniques are time-consuming, laborious and destructive, while non-destructive testing techniques represented by hyperspectral technology can successfully solve this problem. This paper summarizes recent progress in the application of hyperspectral technology in grape shape measurement, chemical substance detection, ripeness discrimination and defects and damage identification. It also analyzes the advantages and disadvantages of hyperspectral technology in the detection of different quality indexes, and discusses the potential of and prospects for the application of hyperspectral technology in the detection of grape quality, which is aimed at providing a reference to the research and developing non-destructive techniques for the quality detection of grape berry.

CLC number: TS207.3 Document code: A Article ID: 1002-6630(2024)21-0357-11

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Food Science
Pages 357-367

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Cite this article:
WEN J, MA W, ZHANG A, et al. Research Progress on the Application of Hyperspectral Technology for Non-destructive Testing of Grape Quality. Food Science, 2024, 45(21): 357-367. https://doi.org/10.7506/spkx1002-6630-20240204-026

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Received: 04 February 2024
Published: 15 November 2024
© Beijing Academy of Food Sciences 2024.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).