An efficient tea quality classification algorithm based on near infrared spectroscopy and random Forest

Autor:	Zebiao Wu, Chen Guikun, Guorong Cai, Xiangchen Zhang, Jinhe Su
Rok vydání:	2020
Předmět:	Quality (physics) General Chemical Engineering Near-infrared spectroscopy Food Science Mathematics Remote sensing Random forest
Zdroj:	Journal of Food Process Engineering. 44
ISSN:	1745-4530 0145-8876
DOI:	10.1111/jfpe.13604
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4fa489759e87e0cb9dfb6f7104bda5fb https://doi.org/10.1111/jfpe.13604 Zobrazit plný text záznamu Plný text