
Indonesian Black Tea Classification Using Fourier-Transform Near-Infrared Spectroscopy and a Principal Component Analysis
Author(s) -
R O Anindya,
Jodelin Muninggar,
Ferdy S. Rondonuwu
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1093/1/012008
Subject(s) - principal component analysis , black tea , camellia sinensis , fourier transform infrared spectroscopy , fourier transform , pattern recognition (psychology) , mistake , near infrared spectroscopy , mathematics , spectroscopy , artificial intelligence , analytical chemistry (journal) , computer science , statistics , chemistry , chromatography , food science , optics , physics , horticulture , mathematical analysis , quantum mechanics , law , political science , biology