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Optoelectronics 2022
杨梅品质的无损检测进展
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Abstract:
我国是杨梅的发源地及主产区，保证杨梅的食品品质是维护我国形象和消费者权益的重要一环。杨梅具有易损、易腐的特性，杨梅生产中需保证时效性、克服复杂性和高成本性。因此，本文对电子鼻检测技术、机器视觉技术、可见/近红外光谱检测技术和高光谱成像检测技术在杨梅生产中的应用进行了概述，并对比各技术的利弊，以及讨论了基于机器视觉技术的自动化分级装置的可行性，为我国杨梅品质的商业化检测提出了新的思路和展望。
China is the birthplace and main producing area of bayberry. Ensuring the quality of bayberry fruit is an important part of maintaining image and consumer rights in China. Because bayberry is fragile and perishable, it is necessary to ensure timeliness, overcome complexity and high cost in bayberry production. Therefore, this work summarizes the application of electronic nose technology, machine vision technology, visible-near-infrared spectral technology and hyper-spectral imaging technology in bayberry fruit production, and their advantages and disadvantages are compared concerning the application cost and detection precision. Besides, the feasibility of automatic grading device based on machine vision technology is discussed. This work puts forward new ideas and prospects for the detection of quality in Chinese bayberry fruit.
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