Feng-Nong Chena,b#, Pu-Lan Chenc#, Kai Fana, Fang Chengd
Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 351-358, 2018, DOI:10.1080/10798587.2017.1293927
Abstract In recent years, foodstuff quality has triggered tremendous interest and attention in our society as
a series of food safety problems. The hyperspectral imaging techniques have been widely applied
for foodstuff quality. In this study, we were undertaken to explore the possibility of unsound kernel
detecting (Triticum durum Desf), which were defined as black germ kernels, moldy kernels and
broken kernels, by selecting the best band in hyperspectral imaging system. The system possessed
a wavelength in the range of 400 to 1,000 nm with neighboring bands 2.73 nm apart, acquiring
images of bulk wheat samples from different wheat varieties. A… More >
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