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《Journal of Anhui Agricultural Sciences》 2010-15
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Identification of Tea Quality Based on Chemical Composition Detection and SVM Classification

CHEN Nian et al(Department of Computer Science,Chizhou College,Chizhou,Anhui 247000)  
Based on extracting main chemical composition of tea,the tea quality was described in form of vector.Then by using support vector machine,training samples were classified and classification function was found.Through the validation on the test samples,good results were achieved.This kind of mathematical model of SVM applied to the identification of tea quality has a strong practical value.
【Fund】: 安徽省优秀青年人才基金项目(2010SQRL134)
【CateGory Index】: S571.1
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