烟草科技Issue(4)：60-62,3.
近红外光谱结合PLS-DA划分烟叶等级
Classification of Tobacco Grades by Near-infrared Spectroscopy and PLS-DA
摘要
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.关键词
近红外光谱/偏最小二乘判别分析(PLS-DA)/烟叶等级分类Key words
Near infrared spectroscopy/ Partial least squares discrimination analysis (PLS-DA)/ Classification of tobacco grade分类
轻工纺织引用本文复制引用
唐果,田旷达,李祖红,郑波,闵顺耕..近红外光谱结合PLS-DA划分烟叶等级[J].烟草科技,2013,(4):60-62,3.基金项目
中国烟草总公司"近红外光谱结合数据融合技术在烟叶内在质量评价中的应用"项目资助(2010YN65). （2010YN65）
