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Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling
Authors:Vasiliki Summerson  Claudia Gonzalez Viejo  Alexis Pang  Damir D Torrico  Sigfredo Fuentes
Institution:1.Digital Agriculture, Food and Wine Group, Faculty of Veterinary and Agricultural Sciences, School of Agriculture and Food, The University of Melbourne, Building 142, Parkville, VIC 3010, Australia; (V.S.); (C.G.V.); (A.P.);2.Department of Wine, Food and Molecular Biosciences, Faculty of Agriculture and Life Sciences, Lincoln University, Lincoln 7647, Canterbury, New Zealand;
Abstract:
Keywords:machine learning  electronic nose  wine quality  climate change  bushfires  artificial neural networks
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