Smart Detection of Faults in Beers Using Near-Infrared Spectroscopy, a Low-Cost Electronic Nose and Artificial Intelligence
Early detection of beer faults is an important assessment in the brewing process to secure a high-quality product and consumer acceptability. This study proposed an integrated AI system for smart detection of beer faults based on the comparison of near-infrared spectroscopy (NIR) and a newly develop...
Main Authors: | Claudia Gonzalez Viejo, Sigfredo Fuentes, Carmen Hernandez-Brenes |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
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Series: | Fermentation |
Subjects: | |
Online Access: | https://www.mdpi.com/2311-5637/7/3/117 |
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