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Assessment of beer quality based on foamability and chemical composition using computer vision algorithms,near infrared spectroscopy and machine learning algorithms
Authors:Claudia Gonzalez Viejo  Sigfredo Fuentes  Damir Torrico  Kate Howell  Frank R Dunshea
Affiliation:University of Melbourne, School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, Victoria, Australia
Abstract:
Keywords:beer chemometry  robotic pourer  multivariate data analysis  artificial neural networks  beer fermentation
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