期刊
JOURNAL OF NEAR INFRARED SPECTROSCOPY
卷 17, 期 3, 页码 159-164出版社
SAGE PUBLICATIONS LTD
DOI: 10.1255/jnirs.837
关键词
near infrared spectroscopy; geographical indication tea; recognition; principal components; Fisher's discriminant classification
资金
- science and technology plan of Zhejiang Province of China [2008C12070]
- National Natural Science Foundation of Zhejiang Province of China [Y305096]
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据