Javier Tardáguila

19 papers Journal 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
On-the-go assessment of the grapevine trunk's diameter: a comparison of different convolutional neural networks.
Comput. Electron. Agric.
Alessandro Zanchin, Inés Hernández, Rubén Íñiguez, Marco Sozzi, Diego Tomasi, Francesco Marinello, Javier Tardáguila
2024 J jnl
Deep learning modelling for non-invasive grape bunch detection under diverse occlusion conditions.
Comput. Electron. Agric.
Rubén Íñiguez, Salvador Gutiérrez, Carlos Poblete-Echeverría, Inés Hernández, Ignacio Barrio, Javier Tardáguila
2024 J jnl
In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine.
Comput. Electron. Agric.
Inés Hernández, Salvador Gutiérrez, Ignacio Barrio, Rubén Íñiguez, Javier Tardáguila
2024 J jnl
Small data deep learning methodology for in-field disease detection.
CoRR
David Herrera-Poyatos, Jacinto Domínguez-Rull, Rosana Montes, Inés Hernández, Ignacio Barrio, Carlos Poblete-Echeverría, Javier Tardáguila, Francisco Herrera, Andrés Herrera-Poyatos
2023 J jnl
Evolutionary conditional GANs for supervised data augmentation: The case of assessing berry number per cluster in grapevine.
Appl. Soft Comput.
Salvador Gutiérrez, Javier Tardáguila
2023 J jnl
Multi-sensor spectral fusion to model grape composition using deep learning.
Inf. Fusion
Salvador Gutiérrez, Juan Fernández-Novales, Teresa Garde-Cerdán, Sandra Marín-San Román, Javier Tardáguila, María-Paz Diago
2021 J jnl
Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions.
Comput. Electron. Agric.
Salvador Gutiérrez, Inés Hernández, Sara Ceballos, Ignacio Barrio, Ana Díez Navajas, Javier Tardáguila
2021 J jnl
Monitoring and Mapping Vineyard Water Status Using Non-Invasive Technologies by a Ground Robot.
Remote. Sens.
Juan Fernández-Novales, Verónica Sáiz-Rubio, Ignacio Barrio, Francisco Rovira-Más, Andrés Cuenca-Cuenca, Fernando Alves, Joana Valente, Javier Tardáguila, María-Paz Diago
2020 J jnl
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.
Fernando Palacios, Gloria Bueno, Jesús Salido, María-Paz Diago, Inés Hernández, Javier Tardáguila
2019 J jnl
A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions.
Sensors
Fernando Palacios, María-Paz Diago, Javier Tardáguila
2018 J jnl
Automated early yield prediction in vineyards from on-the-go image acquisition.
Comput. Electron. Agric.
Arturo Aquino, Borja Millán, María-Paz Diago, Javier Tardáguila
2018 J jnl
On-the-Go Grapevine Yield Estimation Using Image Analysis and Boolean Model.
J. Sensors
Borja Millán, Santiago Velasco-Forero, Arturo Aquino, Javier Tardáguila
2018 J jnl
vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis.
Comput. Electron. Agric.
Arturo Aquino, Ignacio Barrio, María-Paz Diago, Borja Millán, Javier Tardáguila
2016 J jnl
Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions.
Sensors
Salvador Gutiérrez, Javier Tardáguila, Juan Fernández-Novales, María-Paz Diago
2015 J jnl
Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis.
Comput. Electron. Agric.
Arturo Aquino, Borja Millán, Salvador Gutiérrez, Javier Tardáguila
2015 J jnl
Using RPAS Multi-Spectral Imagery to Characterise Vigour, Leaf Development, Yield Components and Berry Composition Variability within a Vineyard.
Remote. Sens.
Clara Rey-Caramés, María-Paz Diago, M. Pilar Martín, Agustin Lobo, Javier Tardáguila
2015 J jnl
vitisFlower
Sensors
Arturo Aquino, Borja Millán, Daniel Gaston, María-Paz Diago, Javier Tardáguila
2013 J jnl
Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture.
Sensors
Roberta Rossi, Alessio Pollice, María-Paz Diago, Manuel Oliveira, Borja Millán, Giovanni Bitella, Mariana Amato, Javier Tardáguila
2012 J jnl
Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions.
Sensors
María-Paz Diago, Christian Correa, Borja Millán, Pilar Barreiro, Constantino Valero, Javier Tardáguila