Open AccessClassification of Indonesia black teas based on quality by using electronic nose and principal component analysis
Author(s) -
Danang Lelono,
Kuwat Triyana,
Sri Hartati,
Jazi Eko Istiyanto
Publication year - 2016
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.4958468
Subject(s) - electronic nose , principal component analysis , black tea , aroma , pattern recognition (psychology) , sample (material) , quality (philosophy) , computer science , artificial intelligence , environmental science , statistics , mathematics , chemistry , chromatography , food science , physics , quantum mechanics
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