Towards the automation of NIR spectroscopy to assess vineyard water status spatial–temporal variability from a ground moving vehicle

por Fernández-Novales, Juan, Barrio, Ignacio, Diago, María Paz
Publicado 2023

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

por Gutiérrez, Salvador, Tardaguila, Javier, Fernández-Novales, Juan, Diago, María P.
Publicado 2015

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

por Gutiérrez, Salvador, Tardaguila, Javier, Fernández-Novales, Juan, Diago, Maria P.
Publicado 2016

Vineyard water status assessment using on-the-go thermal imaging and machine learning

por Gutiérrez, Salvador, Diago, María P., Fernández-Novales, Juan, Tardaguila, Javier
Publicado 2018

On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties

por Gutiérrez, Salvador, Fernández-Novales, Juan, Diago, Maria P., Tardaguila, Javier
Publicado 2018

On-The-Go VIS + SW − NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard

por Fernández-Novales, Juan, Tardáguila, Javier, Gutiérrez, Salvador, Diago, María Paz
Publicado 2019

Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spectroscopy

por Diago, Maria P., Fernández-Novales, Juan, Gutiérrez, Salvador, Marañón, Miguel, Tardaguila, Javier
Publicado 2018

Monitorization of Varietal Aroma Composition Dynamics during Ripening in Intact Vitis vinifera L. Tempranillo Blanco Berries by Hyperspectral Imaging

por Marín-San Román, Sandra, Fernández-Novales, Juan, Cebrián-Tarancón, Cristina, Sánchez-Gómez, Rosario, Diago, Maria Paz, Garde-Cerdán, Teresa
Publicado 2023