AN IDENTIFICATION OF THE GROWING AREA OF LONGJING TEA BASED ON THE FISHER'S DISCRIMINANT ANALYSIS WITH THE COMBINATION OF PRINCIPAL COMPONENTS ANALYSIS

文献类型： 外文期刊

第一作者： Jia, Wenshen

作者： Jia, Wenshen;Wu, Wenfu;Wang, Jihua;Jia, Wenshen;Ma, Zhihong;Wang, Dong;Wang, Jihua;Jia, Wenshen;Lan, Yubin

作者机构：

关键词： PCA;FDA;NIR;Growing Area

期刊名称：INTELLIGENT AUTOMATION AND SOFT COMPUTING （ 影响因子：1.647； 五年影响因子：1.469 ）

ISSN： 1079-8587

年卷期： 2013 年 19 卷 4 期

页码：

收录情况： SCI

摘要： In recent years, the fake Xihu Longjing Tea has damaged its brand image and reputation. This paper based on the Fisher's discriminant analysis using the fixed-size moving window evolving factor analysis to find characteristic spectra through analyzing the near infrared spectroscopy of Xihu Longjing Tea and Zhejiang Longjing Tea. The Fisher's discriminant analysis was used to reduce the data dimension combined with the principal component analysis. A discrimination model was set up for the identification of the Xihu Longjing Tea and Zhejiang Longjing Tea. The model's accuracy is 97.3%. The results proved that this model is feasible to identify the differences between the Xihu Longjing Tea and Zhejiang Longjing Tea. Unlike other methods, the tea does not need to be made into a powder. It also lays out a theoretical foundation for developing an identification instrument for Xihu Longjing Tea.

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