Detection of Oil Chestnuts Infected by Blue Mold Using Near-Infrared Hyperspectral Imaging Combined with Artificial Neural Networks

Mildew damage is a major reason for chestnut poor quality and yield loss. In this study, a near-infrared hyperspectral imaging system in the 874–1734 nm spectral range was applied to detect the mildew damage to chestnuts caused by blue mold. Principal component analysis (PCA) scored images...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Lei Feng, Susu Zhu, Fucheng Lin, Zhenzhu Su, Kangpei Yuan, Yiying Zhao, Yong He, Chu Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2018-06-01
Subjects:	chestnuts hyperspectral imaging technology blue mold artificial neural networks
Online Access:	http://www.mdpi.com/1424-8220/18/6/1944