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Zoning vineyards by NDVI data from unmanned aerial vehicles (UAVs) and mapping variability of the vineyards in Ontario, Canada

Hyun-Suk Lee, CCOVI, Brock University (CA)

Zoning vineyards by NDVI data from unmanned aerial vehicles (UAVs) and mapping variability of the vineyards in Ontario, Canada

The hypothesis of this research is that the maps based on remotely-sensed images would create clear zones of different vigor, yield, water status, winter hardiness and berry composition and the wines from the unique zones would show different chemical and sensorial profiles.

To determine the unique zones, we flew unmanned aerial vehicles (UAVs) with multispectral and thermal sensors through 12 different vineyard blocks (6 Riesling and 6 Cabernet Franc) in Ontario, Canada.

The zoning was based on NDVI values and we examined the relevant spatial correlations between the NDVI and variables such as leaf ψ, soil moisture, stomatal conductance (Gs), winter hardiness (LT50), vine size, yield, and berry composition.

Work presented at the International SIVE OENOPPIA awards 2017. The paper reproduced in this video-seminar was presented at the 10th edition of Enoforum (May 16th-18th, 2017, Vicenza, Italy)

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Published on 11/10/2018
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