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Multispectral Imaging for Plant Food Quality

This article is a comprehensive review of the use of multispectral imaging combined with chemometrics to determine the composition and quality of various plant-based foods; cereals (wheat, maize), legumes (soybean, peanut), tubers (potato, sweet potato), fruits (apple, pear, kiwi), and vegetables (white radish, sugar beet).  The method is rapid and can give a visualisation of for example the distribution fructose, glucose and sucrose in unripe and ripe fruit. Future developments should make it a useful industrial tool to control raw materials and production. 

Read the full article at: Multispectral imaging of plant foods

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