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Maria P Diago

Showing results (1-10 of 10) 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.
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.
Journal of the Science of Food and Agriculture|October 5, 2011
Phenolic composition of Tempranillo wines following early defoliation of the vinesMaria P Diago, Belén Ayestarán, Zenaida Guadalupe, et al.
Journal of the Science of Food and Agriculture|December 5, 2013
Assessment of flower number per inflorescence in grapevine by image analysis under field conditionsMaria P Diago, Andres Sanz-Garcia, Borja Millan, 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.
Journal of Agricultural and Food Chemistry|September 23, 2016
Use of Visible and Short-Wave Near-Infrared Hyperspectral Imaging To Fingerprint Anthocyanins in Intact Grape BerriesMaria P Diago, Juan Fernández-Novales, Armando M Fernandes, et al.
Journal of the Science of Food and Agriculture|July 22, 2014
Assessment of cluster yield components by image analysisMaria P Diago, Javier Tardaguila, Nuria Aleixos, et al.
Pageof 1

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

Sort By:
Pageof 1
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.
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.
Journal of the Science of Food and Agriculture|October 5, 2011
Phenolic composition of Tempranillo wines following early defoliation of the vinesMaria P Diago, Belén Ayestarán, Zenaida Guadalupe, et al.
Journal of the Science of Food and Agriculture|December 5, 2013
Assessment of flower number per inflorescence in grapevine by image analysis under field conditionsMaria P Diago, Andres Sanz-Garcia, Borja Millan, 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.
Journal of Agricultural and Food Chemistry|September 23, 2016
Use of Visible and Short-Wave Near-Infrared Hyperspectral Imaging To Fingerprint Anthocyanins in Intact Grape BerriesMaria P Diago, Juan Fernández-Novales, Armando M Fernandes, et al.
Journal of the Science of Food and Agriculture|July 22, 2014
Assessment of cluster yield components by image analysisMaria P Diago, Javier Tardaguila, Nuria Aleixos, et al.
Pageof 1