Low-Cost Electronic Nose for Wine Variety Identification through Machine Learning Algorithms

Low-Cost Electronic Nose for Wine Variety Identification through Machine Learning Algorithms

The aroma of wine is traditionally analyzed by sensory methods or by using gas chromatography; both analytical methodologies are slow and expensive and do not allow continuous monitoring. For this reason, interest in rapid methods has increased in recent times. Electronic noses (e-noses) stand out f...

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Bibliographic Details
Main Authors: Agustin Conesa Celdrán, Martin John Oates, Carlos Molina Cabrera, Chema Pangua, Javier Tardaguila, Antonio Ruiz-Canales
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Agronomy
Subjects:
electronic nose
viticulture
physicochemical properties
PCA analysis
volatile organic compounds (VOCs)
Online Access:https://www.mdpi.com/2073-4395/12/11/2627

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