Multicriteria decision making-based approach to classify loose-leaf teas

Multicriteria decision making-based approach to classify loose-leaf teas

Near infrared spectra of 75 different loose-leaf teas were analyzed based on their oxidational state: white, green, matcha, oolong, black, dark and pu-erh. Different spectral transformations (MSC, SNV and derivatives) and seven supervised linear and non-linear chemometric methods were performed. Cla...

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Bibliographic Details
Main Authors: Eszter Benes, Attila Gere
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:NFS Journal
Subjects:
Sum of ranking differences
Tea
Quality
NIR
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352364625000070
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