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

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 Authors: Carlota Salinas, Manuel Armada, Javier Sarria, Roemi Fernández, Héctor Montes
Format: Article
Language:English
Published: MDPI AG 2013-06-01
Series:Sensors
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

Internet

http://www.mdpi.com/1424-8220/13/6/7838

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