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