Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach

Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach

Bushfires are becoming more frequent and intensive due to changing climate. Those that occur close to vineyards can cause smoke contamination of grapevines and grapes, which can affect wines, producing smoke-taint. At present, there are no available practical in-field tools available for detection o...

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Bibliographic Details
Main Authors: Sigfredo Fuentes, Eden Jane Tongson, Roberta De Bei, Claudia Gonzalez Viejo, Renata Ristic, Stephen Tyerman, Kerry Wilkinson
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sensors
Subjects:
bushfires
infrared thermography
near-infrared spectroscopy
smoke taint
artificial intelligence
Online Access:https://www.mdpi.com/1424-8220/19/15/3335

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