烟草科技Issue(4)：56-59,4.
基于近红外光谱的PLS-DA算法判别烤烟烟叶产地
Discrimination of Producing Areas of Flue-cured Tobacco Leaves with Near Infrared Spectroscopy-Based PLS-DA Algorithm
摘要
Abstract
In order to fast identify and discriminate the producing area of flue-cured tobacco leaves nondestructively, four discrimination models were established with PLS-DA algorithm on the basis of near-infrared spectra of 464 tobacco leaf samples from Sichuan, Yunnan, Chongqing and Fujian in 2008. The results showed that: 1) The correlation coefficient between predicted values and measured values of classified variables of calibration set were higher than 0.94 in all the four models, which showed that the models were of good fit. 2) The discriminating accuracies of models for samples in validation set were higher than 93.0%. 3) The leaves from Sichuan, Yunnan, Chongqing and Fujian could be effectively discriminated from each other by the models.关键词
近红外光谱/PLS-DA算法/烤烟烟叶/产地识别/模型Key words
Near-infrared spectroscopy/ PLS-DA algorithm/ Flue-cured tobacco leaf/ Recognition of producing area/ Model分类
农业科技引用本文复制引用
施丰成,李东亮,冯广林,宋光富,周志刚..基于近红外光谱的PLS-DA算法判别烤烟烟叶产地[J].烟草科技,2013,(4):56-59,4.基金项目
四川省科技厅项目"川渝中烟烟草品质数据库及配方等级替代模型构建"(2009JY0155) （2009JY0155）
中国烟草总公司面上项目、四川省科技厅项目"烟丝不同膨胀状态对卷烟主流烟气有害成分释放量的关系研究"(2009JY0154). （2009JY0154）
