Vineyard yield estimation by combining remote sensing, computer vision and artificial neural network techniques
Abstract
In viticulture, it is critical to predict productivity levels of the different vineyard zones to undertake appropriate cropping practices. To overcome this challenge, the final yield was predicted by combining vegetation indices (VIs) to sense the health status of the crop and by computer vision to obtain the vegetated fraction cover (Fc) as a measure of plant vigour. Multispectral imagery obtained from an unmanned aerial vehicle (UAV) is used...
Paper Details
Title
Vineyard yield estimation by combining remote sensing, computer vision and artificial neural network techniques
Published Date
May 8, 2020
Journal
Volume
21
Issue
6
Pages
1242 - 1262
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