{"title":"Quality Evaluation for Anxi Tieguanyin Tea Based on Electronic Nose and PCALDA Method","authors":"Hongxiu Liu, Dehan Luo, Fufang Li, G. Xie","doi":"10.1109/ISCC-C.2013.104","DOIUrl":null,"url":null,"abstract":"Tea conventionally is tested by human sensory panel called Tea Tasters, which assign quality scores to different tea samples. This paper reports a method of the reliable measurement and correct classification of Anxi Tieguanyin tea in Fujian province based on a kind of electronic nose (E-nose): PEN3(Portable Electronic Nose Version 3.0). With the help of the E-nose, we analyze various grades of different kinds of tea samples by using the popular method of separation, like PCA and LDA. Experiments show that the method proposed in this paper has outstanding performance and high efficiency.","PeriodicalId":313511,"journal":{"name":"2013 International Conference on Information Science and Cloud Computing Companion","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Information Science and Cloud Computing Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCC-C.2013.104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Tea conventionally is tested by human sensory panel called Tea Tasters, which assign quality scores to different tea samples. This paper reports a method of the reliable measurement and correct classification of Anxi Tieguanyin tea in Fujian province based on a kind of electronic nose (E-nose): PEN3(Portable Electronic Nose Version 3.0). With the help of the E-nose, we analyze various grades of different kinds of tea samples by using the popular method of separation, like PCA and LDA. Experiments show that the method proposed in this paper has outstanding performance and high efficiency.
传统上,茶叶是由被称为茶品尝师的人类感官小组来测试的,他们会给不同的茶叶样品打分。本文报道了一种基于PEN3(Portable electronic nose Version 3.0)电子鼻(E-nose)的福建省安溪铁观音茶的可靠测量和正确分类方法。在电子鼻的帮助下,我们使用常用的分离方法,如PCA和LDA,来分析不同等级的不同种类的茶叶样品。实验表明,本文提出的方法性能突出,效率高。