高光谱成像
精准农业
遥感
环境科学
农业
农业工程
质量(理念)
食品质量
植被(病理学)
食品安全
计算机科学
地理
工程类
物理
化学
医学
量子力学
病理
考古
食品科学
作者
Laura Dale,André Thewis,Christelle Boudry,Ioan Rotar,Pierre Dardenne,Vincent Baeten,Juan Antonio Fernández Pierna
标识
DOI:10.1080/05704928.2012.705800
摘要
Abstract In this review, various applications of near-infrared hyperspectral imaging (NIR-HSI) in agriculture and in the quality control of agro-food products are presented. NIR-HSI is an emerging technique that combines classical NIR spectroscopy and imaging techniques in order to simultaneously obtain spectral and spatial information from a field or a sample. The technique is nondestructive, nonpolluting, fast, and relatively inexpensive per analysis. Currently, its applications in agriculture include vegetation mapping, crop disease, stress and yield detection, component identification in plants, and detection of impurities. There is growing interest in HSI for safety and quality assessments of agro-food products. The applications have been classified from the level of satellite images to the macroscopic or molecular level.
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