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ORCIDJavier Tardáguila
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2020 – today
- 2024
[j17]Rubén Íñiguez, Salvador Gutiérrez
, Carlos Poblete-Echeverría, Inés Hernández, Ignacio Barrio, Javier Tardáguila:
Deep learning modelling for non-invasive grape bunch detection under diverse occlusion conditions. Comput. Electron. Agric. 226: 109421 (2024)- [j16]Inés Hernández, Salvador Gutiérrez, Ignacio Barrio, Rubén Íñiguez, Javier Tardáguila:
In-field disease symptom detection and localisation using explainable deep learning: Use case for downy mildew in grapevine. Comput. Electron. Agric. 226: 109478 (2024) - [i1]David Herrera-Poyatos, Jacinto Domínguez-Rull, Rosana Montes, Inés Hernández, Ignacio Barrio, Carlos Poblete-Echeverría, Javier Tardáguila, Francisco Herrera, Andrés Herrera-Poyatos:
Small data deep learning methodology for in-field disease detection. CoRR abs/2409.17119 (2024) - 2023
- [j15]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: 110805 (2023) - [j14]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: 101865 (2023) - 2021
- [j13]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: 105991 (2021) - [j12]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): 2830 (2021) - 2020
- [j11]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: 105796 (2020)
2010 – 2019
- 2019
- [j10]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): 3799 (2019) - 2018
- [j9]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: 26-36 (2018) - [j8]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: 19-28 (2018) - [j7]Borja Millán, Santiago Velasco-Forero, Arturo Aquino, Javier Tardáguila:
On-the-Go Grapevine Yield Estimation Using Image Analysis and Boolean Model. J. Sensors 2018: 9634752:1-9634752:14 (2018) - 2016
- [j6]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): 236 (2016) - 2015
- [j5]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: 92-104 (2015) - [j4]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): 14458-14481 (2015) - [j3]Arturo Aquino, Borja Millán, Daniel Gaston, María-Paz Diago, Javier Tardáguila:
vitisFlower®: 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): 21204-21218 (2015) - 2013
- [j2]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): 1121-1136 (2013) - 2012
- [j1]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): 16988-17006 (2012)
Coauthor Index
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