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Recent Developments and Applications of Hyperspectral Imaging for Quality Evaluation of Agricultural Products: A Review

机译:高光谱成像技术在农产品质量评估中的最新进展与应用

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摘要

Food quality and safety is the foremost issue for consumers, retailers as well as regulatory authorities. Most quality parameters are assessed by traditional methods, which are time consuming, laborious, and associated with inconsistency and variability. Non-destructive methods have been developed to objectively measure quality attributes for various kinds of food. In recent years, hyperspectral imaging (HSI) has matured into one of the most powerful tools for quality evaluation of agricultural and food products. HSI allows characterization of a sample's chemical composition (spectroscopic component) and external features (imaging component) in each point of the image with full spectral information. In order to track the latest research developments of this technology, this paper gives a detailed overview of the theory and fundamentals behind this technology and discusses its applications in the field of quality evaluation of agricultural products. Additionally, future potentials of HSI are also reported.
机译:食品质量和安全是消费者,零售商和监管机构的首要问题。大多数质量参数是通过传统方法评估的,这些方法既费时,费力,又与不一致和可变性相关。已经开发出非破坏性方法来客观地测量各种食品的质量属性。近年来,高光谱成像(HSI)已发展成为用于农产品和食品质量评估的最强大工具之一。 HSI可以利用完整的光谱信息来表征图像各点中样品的化学成分(光谱成分)和外部特征(成像成分)。为了跟踪该技术的最新研究进展,本文详细概述了该技术背后的理论和基础,并讨论了其在农产品质量评估领域中的应用。此外,还报道了恒指的未来潜力。

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