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    Assessment of beer quality based on a robotic pourer, computer vision, and machine learning algorithms using commercial beers 

    Gonzalez Viejo, C.; Fuentes, S.; Torrico, Damir; Howell, K.; Dunshea, F. R. (Wiley on behalf of Institute of Food Technologists, 2018-05-01)
    Sensory attributes of beer are directly linked to perceived foam–related parameters and beer color. The aim of this study was to develop an objective predictive model using machine learning modeling to assess the intensity ...
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    AuthorDunshea, F. R. (1)Fuentes, S. (1)Gonzalez Viejo, C. (1)
    Howell, K. (1)
    Torrico, Damir (1)
    Keywordartificial neural networks (1)Beer (1)beer color (1)beer colour (1)beer foam (1)Color (1)Computers (1)Food Handling (1)
    Food Quality (1)
    Food Science (1)... View MoreDate Issued
    2018 (1)
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