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Javier Tardaguila

Showing results (1-10 of 21) with videos related to

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Sensors (Basel, Switzerland)|September 5, 2019
A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field ConditionsFernando Palacios, Maria P Diago, Javier Tardaguila
Journal of the Science of Food and Agriculture|May 14, 2016
Image analysis-based modelling for flower number estimation in grapevineBorja Millan, Arturo Aquino, Maria P Diago, et al.
Frontiers in Plant Science|August 10, 2018
On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine VarietiesSalvador Gutiérrez, Juan Fernández-Novales, Maria P Diago, et al.
Plos One|November 25, 2015
Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR SpectrophotometerSalvador Gutiérrez, Javier Tardaguila, Juan Fernández-Novales, et al.
Journal of the Science of Food and Agriculture|January 31, 2017
Non-destructive assessment of grapevine water status in the field using a portable NIR spectrophotometerJavier Tardaguila, Juan Fernández-Novales, Salvador Gutiérrez, et al.
Plos One|February 2, 2018
Vineyard water status assessment using on-the-go thermal imaging and machine learningSalvador Gutiérrez, María P Diago, Juan Fernández-Novales, et al.
Journal of the Science of Food and Agriculture|September 25, 2015
Estimation of total soluble solids in grape berries using a hand-held NIR spectrometer under field conditionsRuben Urraca, Andres Sanz-Garcia, Javier Tardaguila, et al.
Sensors (Basel, Switzerland)|February 19, 2016
Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field ConditionsSalvador Gutiérrez, Javier Tardaguila, Juan Fernández-Novales, et al.
Sensors (Basel, Switzerland)|September 8, 2015
vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision TechniquesArturo Aquino, Borja Millan, Daniel Gaston, et al.
Frontiers in Plant Science|February 15, 2018
Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared SpectroscopyMaria P Diago, Juan Fernández-Novales, Salvador Gutiérrez, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Sensors (Basel, Switzerland)|September 5, 2019
A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field ConditionsFernando Palacios, Maria P Diago, Javier Tardaguila
Journal of the Science of Food and Agriculture|May 14, 2016
Image analysis-based modelling for flower number estimation in grapevineBorja Millan, Arturo Aquino, Maria P Diago, et al.
Frontiers in Plant Science|August 10, 2018
On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine VarietiesSalvador Gutiérrez, Juan Fernández-Novales, Maria P Diago, et al.
Plos One|November 25, 2015
Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR SpectrophotometerSalvador Gutiérrez, Javier Tardaguila, Juan Fernández-Novales, et al.
Journal of the Science of Food and Agriculture|January 31, 2017
Non-destructive assessment of grapevine water status in the field using a portable NIR spectrophotometerJavier Tardaguila, Juan Fernández-Novales, Salvador Gutiérrez, et al.
Plos One|February 2, 2018
Vineyard water status assessment using on-the-go thermal imaging and machine learningSalvador Gutiérrez, María P Diago, Juan Fernández-Novales, et al.
Journal of the Science of Food and Agriculture|September 25, 2015
Estimation of total soluble solids in grape berries using a hand-held NIR spectrometer under field conditionsRuben Urraca, Andres Sanz-Garcia, Javier Tardaguila, et al.
Sensors (Basel, Switzerland)|February 19, 2016
Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field ConditionsSalvador Gutiérrez, Javier Tardaguila, Juan Fernández-Novales, et al.
Sensors (Basel, Switzerland)|September 8, 2015
vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision TechniquesArturo Aquino, Borja Millan, Daniel Gaston, et al.
Frontiers in Plant Science|February 15, 2018
Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared SpectroscopyMaria P Diago, Juan Fernández-Novales, Salvador Gutiérrez, et al.
Pageof 3