Non-invasive identification of commercial green tea blends using NIR spectroscopy and support vector machine
作者： Ronei Jesus Poppi , Victor Gustavo Kelis Cardoso
DOI: 10.1016/J.MICROC.2021.106052
关键词: Bayesian optimization 、 Data modeling 、 Green tea 、 Pattern recognition 、 Identification (information) 、 Partial least squares regression 、 Computer science 、 Near-infrared spectroscopy 、 Linear discriminant analysis 、 Support vector machine 、 Artificial intelligence
摘要: … of tea exports worldwide. In Kenya and Sri Lanka, it is the main export product, contributing with 22 and 11% of the total export respectively [8]. China, Japan, and Germany are the top …
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