Application of machine learning algorithms in quality assurance of fermentation process of black tea-- based on electrical properties

Fermentation process directly determines the product quality of black tea. This work aimed to develop a rapid method for detecting the degree of fermentation of black tea based on electrical properties of tea leaves. An LCR meter employed to identify 11 electrical parameters of tea leaves during the...

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Vydáno v:	Journal of food engineering Ročník 263; s. 165 - 172
Hlavní autoři:	Zhu, Hongkai, Liu, Fei, Ye, Yang, Chen, Lin, Liu, Jingyuan, Gui, Anhui, Zhang, Jianqiang, Dong, Chunwang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.12.2019
Témata:	Black tea cluster analysis Electrical properties Fermentation flavanols high performance liquid chromatography leaves Machine learning algorithms neural networks principal component analysis product quality Quality components quality control Random forest rapid methods support vector machines ultraviolet-visible spectroscopy Machine learning algorithms Random forest Electrical properties Black tea Fermentation Quality components
ISSN:	0260-8774, 1873-5770
On-line přístup:	Získat plný text
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