Online Identification of Beer Fermentation Phases
Author:
Affiliation:
1. Department of Industrial Engineering, University of Salerno, 84084 Fisciano, Italy
2. Department of Information Engineering, University of Brescia, 25121 Brescia, Italy
Abstract
Funder
MUR Ministero dell’Università e della Ricerca Italiano
Publisher
MDPI AG
Link
https://www.mdpi.com/2311-5637/10/8/399/pdf
Reference30 articles.
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3. Violino, S., Figorilli, S., Costa, C., and Pallottino, F. (2020). Internet of beer: A review on smart technologies from mash to pint. Foods, 9.
4. Gonzalez Viejo, C., and Fuentes, S. (2020). Low-cost methods to assess beer quality using artificial intelligence involving robotics, an electronic nose, and machine learning. Fermentation, 6.
5. Gonzalez Viejo, C., Fuentes, S., and Hernandez-Brenes, C. (2021). Smart detection of faults in beers using near-infrared spectroscopy, a low-cost electronic nose and artificial intelligence. Fermentation, 7.
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