Assessment of E-Senses Performance through Machine Learning Models for Colombian Herbal Teas Classification

Assessment of E-Senses Performance through Machine Learning Models for Colombian Herbal Teas Classification

This paper describes different E-Senses systems, such as Electronic Nose, Electronic Tongue, and Electronic Eyes, which were used to build several machine learning models and assess their performance in classifying a variety of Colombian herbal tea brands such as <i>Albahaca</i>, <i&g...

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Bibliographic Details
Main Authors: Jeniffer Katerine Carrillo, Cristhian Manuel Durán, Juan Martin Cáceres, Carlos Alberto Cuastumal, Jordana Ferreira, José Ramos, Brian Bahder, Martin Oates, Antonio Ruiz
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Chemosensors
Subjects:
herbal teas
electronic nose
electronic tongue
electronic eyes
classification
data processing
Online Access:https://www.mdpi.com/2227-9040/11/7/354

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