Geographical origin of green tea identification using LASSO and ANOVA
Author:
Affiliation:
1. Anhui University, China
2. Huangshan University, China
Publisher
FapUNIFESP (SciELO)
Subject
Food Science,Biotechnology
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0101-20612022000101189&tlng=en
Reference36 articles.
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3. A Monte Carlo-based pseudo-coefficient of determination for generalized linear models with binary outcome;Cakmakyapan S.;Journal of Applied Statistics,2017
4. Non-invasive identification of commercial green tea blends using NIR spectroscopy and support vector machine;Cardoso V. G. K.;Microchemical Journal,2021
5. Non-parametric partial least squares-discriminant analysis model based on sum of ranking difference algorithm for tea grade identification using electronic tongue data;Chen X.;Sensors and Actuators. B, Chemical,2020
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