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Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions

The aim of this research was to implement a methodology through the generation of a supervised classifier based on the Mahalanobis distance to characterize the grapevine canopy and assess leaf area and yield using RGB images. The method automatically processes sets of images, and calculates the area...

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Bibliografiske detaljer
Principais autores: Javier Tardaguila, Pilar Barreiro, Constantino Valero, Borja Millán, Christian Correa, Maria-Paz Diago
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2012-12-01
Serier:Sensors
Fag:
Online adgang:http://www.mdpi.com/1424-8220/12/12/16988
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