Combination of RGB and Multispectral Imagery for Discrimination of Cabernet Sauvignon Grapevine Elements

This paper proposes a sequential masking algorithm based on the K-means method that combines RGB and multispectral imagery for discrimination of Cabernet Sauvignon grapevine elements in unstructured natural environments, without placing any screen behind the canopy and without any previous preparati...

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Bibliographic Details

Main Author:	Fernández, Roemi (author)
Other Authors:	Montes Franceschi, Héctor (author), Salinas, Carlota (author), Sarria, Javier (author), Armada, Manuel (author)
Format:	article
Language:	English
Published:	2013
Subjects:	multispectral imagery precision viticulture Cabernet Sauvignon optical filters image processing classification K-means
Online Access:	http://www.mdpi.com/1424-8220/13/6/7838 http://ridda2.utp.ac.pa/handle/123456789/2363
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