标题：Identification of green tea origins by near-infrared (NIR) spectroscopy and different regression tools
作者：Zhuang, XinGang; Wang, LiLi; Chen, Qi; Wu, XueYuan; Fang, JiaXiong
作者机构：[Zhuang Xingang] Advanced Research Center for Optics, Shandong University, State Key Laboratories of Transducer Technology, Jinan, Shandong 250100, Ch 更多
通讯作者：Wang, Li Li(email@example.com)
通讯作者地址：[Wang, LL]Shandong Univ, Adv Res Ctr Opt, Jinan 250100, Peoples R China;[Wang, LL]Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, State 更多
关键词：near-infrared spectroscopy (NIRS); green tea; origin; regression tool
摘要：In this study, near-infrared (NIR) spectroscopy was applied to efficiently and non-destructively identify Shandong green tea origins coupled with three different regression tools. Analysis results indicated that partial least squares (PLS) had better performance than back propagation artificial neural network (BP-ANN) and support vector machine (SVM). For PLS, the accuracies of identification were up to 100% for both training and testing. The results sufficiently demonstrate that NIR spectroscopy can be efficiently utilized for the non-destructive identification of green tea origins.