Javier Tardáguila

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 13

Top Topics

Android Platform

Iris Biometrics

Artificial Vision

Top Venues

Comput. Electron. Agric.

Publications

Salvador Gutiérrez, Javier Tardáguila
Evolutionary conditional GANs for supervised data augmentation: The case of assessing berry number per cluster in grapevine. Appl. Soft Comput. 147 (2023)
Salvador Gutiérrez, Juan Fernández-Novales, Teresa Garde-Cerdán, Sandra Marín-San Román, Javier Tardáguila, María-Paz Diago
Multi-sensor spectral fusion to model grape composition using deep learning. Inf. Fusion 99 (2023)
Juan Fernández-Novales, Verónica Sáiz-Rubio, Ignacio Barrio, Francisco Rovira-Más, Andrés Cuenca-Cuenca, Fernando Alves, Joana Valente, Javier Tardáguila, María-Paz Diago
Monitoring and Mapping Vineyard Water Status Using Non-Invasive Technologies by a Ground Robot. Remote. Sens. 13 (14) (2021)
Salvador Gutiérrez, Inés Hernández, Sara Ceballos, Ignacio Barrio, Ana Díez Navajas, Javier Tardáguila
Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions. Comput. Electron. Agric. 182 (2021)
Fernando Palacios, Gloria Bueno, Jesús Salido, María-Paz Diago, Inés Hernández, Javier Tardáguila
Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing platform under field conditions. Comput. Electron. Agric. 178 (2020)
Fernando Palacios, María-Paz Diago, Javier Tardáguila
A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions. Sensors 19 (17) (2019)
Arturo Aquino, Ignacio Barrio, María-Paz Diago, Borja Millán, Javier Tardáguila
vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis. Comput. Electron. Agric. 148 (2018)
Borja Millán, Santiago Velasco-Forero, Arturo Aquino, Javier Tardáguila
On-the-Go Grapevine Yield Estimation Using Image Analysis and Boolean Model. J. Sensors 2018 (2018)
Arturo Aquino, Borja Millán, María-Paz Diago, Javier Tardáguila
Automated early yield prediction in vineyards from on-the-go image acquisition. Comput. Electron. Agric. 144 (2018)
Salvador Gutiérrez, Javier Tardáguila, Juan Fernández-Novales, María-Paz Diago
Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions. Sensors 16 (2) (2016)
Arturo Aquino, Borja Millán, Salvador Gutiérrez, Javier Tardáguila
Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis. Comput. Electron. Agric. 119 (2015)
Arturo Aquino, Borja Millán, Daniel Gaston, María-Paz Diago, Javier Tardáguila
: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques. Sensors 15 (9) (2015)
Clara Rey-Caramés, María-Paz Diago, M. Pilar Martín, Agustin Lobo, Javier Tardáguila
Using RPAS Multi-Spectral Imagery to Characterise Vigour, Leaf Development, Yield Components and Berry Composition Variability within a Vineyard. Remote. Sens. 7 (11) (2015)
Roberta Rossi, Alessio Pollice, María-Paz Diago, Manuel Oliveira, Borja Millán, Giovanni Bitella, Mariana Amato, Javier Tardáguila
Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture. Sensors 13 (1) (2013)
María-Paz Diago, Christian Correa, Borja Millán, Pilar Barreiro, Constantino Valero, Javier Tardáguila
Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions. Sensors 12 (12) (2012)