Accurate Determination of Geographical Origin of Tea Based on Terahertz Spectroscopy
AbstractThis paper proposes a structured model for the identification of green tea, as well as tracing its geographical origins. Considering that the features of different types of green tea are similar under THz time-domain spectroscopy, we designed a program to perform principal component analysis (PCA) of the spectroscopic data of various green tea samples and to determine the data sequences of principal components. We then established a training set for the principal components to train a support vector machine (SVM) model via a genetic algorithm (GA). We used this model to optimize the parameters and develop a GA-based SVM model with an identification rate of 96.25% for the tested samples. Taken together, our results confirm that THz time-domain spectroscopy combined with GA-SVM can be effectively applied to rapidly identify types of green tea with different geographical origins. View Full-Text
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Li, M.; Dai, G.; Chang, T.; Shi, C.; Wei, D.; Du, C.; Cui, H.-L. Accurate Determination of Geographical Origin of Tea Based on Terahertz Spectroscopy. Appl. Sci. 2017, 7, 172.
Li M, Dai G, Chang T, Shi C, Wei D, Du C, Cui H-L. Accurate Determination of Geographical Origin of Tea Based on Terahertz Spectroscopy. Applied Sciences. 2017; 7(2):172.Chicago/Turabian Style
Li, Mingliang; Dai, Guangbin; Chang, Tianying; Shi, Changcheng; Wei, Dongshan; Du, Chunlei; Cui, Hong-Liang. 2017. "Accurate Determination of Geographical Origin of Tea Based on Terahertz Spectroscopy." Appl. Sci. 7, no. 2: 172.
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