Detection of smoke-derived compounds from bushfires in Cabernet-Sauvignon grapes, must, and wine using Near-Infrared spectroscopy and machine learning algorithms

Detection of smoke-derived compounds from bushfires in Cabernet-Sauvignon grapes, must, and wine using Near-Infrared spectroscopy and machine learning algorithms

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The number and intensity of wildfires are increasing worldwide, thereby raising the risk of smoke contamination of grapevine berries and the development of smoke taint in wine. This study aimed to develop five artificial neural network (ANN) models from berry, must, and wine samples obtained from g...

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Bibliographic Details
Main Authors: Vasiliki Summerson, Claudia Gonzalez Viejo, Damir D. Torrico, Alexis Pang, Sigfredo Fuentes
Format: Article
Language:English
Published: International Viticulture and Enology Society 2020-11-01
Series:OENO One
Subjects:
Remote sensing
Climate change
Artificial neural networks
Smoke taint
Online Access:https://oeno-one.eu/article/view/4501

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