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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Detalles Bibliográficos
Autores principales: Diago, Maria-Paz, Correa, Christian, Millán, Borja, Barreiro, Pilar, Valero, Constantino, Tardaguila, Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3571822/
https://www.ncbi.nlm.nih.gov/pubmed/23235443
http://dx.doi.org/10.3390/s121216988

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3571822/
https://www.ncbi.nlm.nih.gov/pubmed/23235443
http://dx.doi.org/10.3390/s121216988

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