Short communication: Identification of geographical indication tea with Fisher's discriminant classification and principal components analysis

文献类型: 外文期刊

第一作者: Zhou, Jian

作者: Zhou, Jian;Cheng, Hao;Wang, Liyuan;Liu, Xu;Lu, Wenyuan;He, Wei

作者机构:

关键词: near infrared spectroscopy;geographical indication tea;recognition;principal components;Fisher's discriminant classification

期刊名称:JOURNAL OF NEAR INFRARED SPECTROSCOPY ( 影响因子:1.372; 五年影响因子:1.863 )

ISSN: 0967-0335

年卷期: 2009 年 17 卷 3 期

页码:

收录情况: SCI

摘要: This study attempted to identify authentic geographical indication tea using near infrared (NIR) spectroscopy with a combination of Fisher's discriminant classification and principal components analysis (PCA). This rapid and accurate NIR-based approach has shown an accuracy rate for identifying the geographical indication tea equal to 96.7% in a training set, 95.3% using cross-validation and 96.7% in a test set. The overall results suggest that the combination of NIR spectroscopy with Fisher's discriminant classification with PCA could be successfully applied as a rapid and reliable way to identify geographical indication tea.

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