Near-infrared hyperspectral imaging for classification of mung bean seeds

Near-infrared hyperspectral imaging for classification of mung bean seeds

Hard mung bean seeds pose a problem in the sprouting process as they develop mold and infect neighboring seeds. Near-infrared hyperspectral imaging combined with partial least squares discriminant analysis was applied to develop a classifying model to separate hard mung beans from normal ones. The o...

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Bibliographic Details
Main Authors: Kaewkarn Phuangsombut, Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa, Anupun Terdwongworakul
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:International Journal of Food Properties
Subjects:
Mung bean
germination
near-infrared spectroscopy
classification
hyperspectral imaging
Online Access:http://dx.doi.org/10.1080/10942912.2018.1476378

Internet

http://dx.doi.org/10.1080/10942912.2018.1476378

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