Home /Research /Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications

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Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications

Claudia Gonzalez Viejo, Sigfredo Fuentes, Kate Howell, Damir D. Torrico, Frank R. Dunshea

Year: 2018
Citations: 66

Keywords

MouthfeelArtificial intelligenceBiometricsSensory systemQuality (philosophy)SubconsciousComputer scienceCorrelationPerceptionMachine learning

Robotics and computer vision techniques combined with non-invasive consumer biometrics to assess quality traits from beer foamability using machine learning: A potential for artificial intelligence applications

Keywords

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