Journal article
Assessment of beer quality based on foamability and chemical composition using computer vision algorithms, near infrared spectroscopy and machine learning algorithms
Claudia Gonzalez Viejo, Sigfredo Fuentes, Damir Torrico, Kate Howell, Frank R Dunshea
Journal of the Science of Food and Agriculture | WILEY | Published : 2018
DOI: 10.1002/jsfa.8506
Grants
Awarded by Australian Government through the Australian Research Council
Funding Acknowledgements
This research was partially funded by the Australian Government through the Australian Research Council (Grant number IH120100053) 'Unlocking the Food Value Chain: Australian industry transformation for ASEAN markets'.