Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer

by Gutiérrez, Salvador, Tardaguila, Javier, Fernández-Novales, Juan, Diago, María P.
Published 2015

Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions †

by Gutiérrez, Salvador, Tardaguila, Javier, Fernández-Novales, Juan, Diago, Maria P.
Published 2016

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

by Diago, Maria-Paz, Correa, Christian, Millán, Borja, Barreiro, Pilar, Valero, Constantino, Tardaguila, Javier
Published 2012

vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques

by Aquino, Arturo, Millan, Borja, Gaston, Daniel, Diago, María-Paz, Tardaguila, Javier
Published 2015

Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture

by Rossi, Roberta, Pollice, Alessio, Diago, Maria-Paz, Oliveira, Manuel, Millan, Borja, Bitella, Giovanni, Amato, Mariana, Tardaguila, Javier
Published 2013

Solar ultraviolet radiation is necessary to enhance grapevine fruit ripening transcriptional and phenolic responses

by Carbonell-Bejerano, Pablo, Diago, Maria-Paz, Martínez-Abaigar, Javier, Martínez-Zapater, José M, Tardáguila, Javier, Núñez-Olivera, Encarnación
Published 2014