ABSTRACT Hyperspectral imaging (HSI) combines spectroscopy and imaging, providing information about the chemical properties of a material and their spatial distribution. It represents an advance of traditional Near-Infrared (NIR) spectroscopy. The present work reviews the most recent applications of NIR spectroscopy for cereal grain evaluation, then focuses on the use of HSI in this field. The progress of research from ground material to whole grains and single kernels is detailed. The potential of NIR-based methods to predict protein content, sprout damage and α-amylase activity in wheat and barley is shown, in addition to assessment of quality parameters in other cereals such as rice, maize and oats, and the estimation of fungal infection. This analytical technique also offers the possibility to rapidly classify grains based on properties such as variety, geographical origin, kernel hardness, etc. Further applications of HSI are expected in the near future, for its potential for rapid single-kernel analysis.

中文翻译：

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用于谷物无损质量评估的近红外光谱和高光谱成像

摘要 高光谱成像 (HSI) 结合了光谱和成像，可提供有关材料化学性质及其空间分布的信息。它代表了传统近红外 (NIR) 光谱的进步。目前的工作回顾了近红外光谱在谷物评估中的最新应用，然后重点介绍了 HSI 在该领域的应用。详细介绍了从研磨材料到全谷物和单粒的研究进展。显示了基于 NIR 的方法预测小麦和大麦中蛋白质含量、发芽损伤和 α-淀粉酶活性的潜力，此外还可以评估其他谷物（如大米、玉米和燕麦）的质量参数，以及估计真菌感染.