Abstract
In order to rapidly classifying tobacco grades,the classification model of tobacco grades was established by partial least squares discrimination analysis(PLS-DA) with the near-infrared spectra of 150 tobacco samples collected from Qujing in Yunnan.The prediction were carried out on the 60 samples in the prediction set with the established model.The results indicated that: 1) The prediction accuracies of training and prediction sets were 100.0%(150/150) and 96.7%(58/60),respectively;2) PLS-DA was efficient in tobacco grade classifying.This model provides a new rapid discrimination analysis method for the classification of tobacco grades.
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