Hasil Pencarian - Javier Tardaguila

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  1. 1
    Effects of soil degradation and organic treatments on vegetative growth, yield and grape quality

    Effects of soil degradation and organic treatments on vegetative growth, yield and grape quality oleh JAVIER TARDAGUILA

    Diterbitkan 2018-06-01
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  2. 2
    Use of non-invasive RGB imaging to assess the canopy status in organic viticulture

    Use of non-invasive RGB imaging to assess the canopy status in organic viticulture oleh JAVIER TARDAGUILA

    Diterbitkan 2018-06-01
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  3. 3
    Assessment of tempranillo grapes quality in the vineyard by Vitur score-sheet

    Assessment of tempranillo grapes quality in the vineyard by Vitur score-sheet oleh Javier Tardáguila, Fernando Martínez de Toda

    Diterbitkan 2008-03-01
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  4. 4
    A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions

    A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions oleh Fernando Palacios, Maria P. Diago, Javier Tardaguila

    Diterbitkan 2019-09-01
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  5. 5
    Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions

    Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions oleh Salvador Gutiérrez, Javier Tardaguila, Juan Fernández-Novales, Maria P. Diago

    Diterbitkan 2016-02-01
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  6. 6
    Vineyard water status assessment using on-the-go thermal imaging and machine learning.

    Vineyard water status assessment using on-the-go thermal imaging and machine learning. oleh Salvador Gutiérrez, María P Diago, Juan Fernández-Novales, Javier Tardaguila

    Diterbitkan 2018-01-01
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  7. 7
    On-The-Go VIS + SW − NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard

    On-The-Go VIS + SW − NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard oleh Juan Fernández-Novales, Javier Tardáguila, Salvador Gutiérrez, María Paz Diago

    Diterbitkan 2019-07-01
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  8. 8
    Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer.

    Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer. oleh Salvador Gutiérrez, Javier Tardaguila, Juan Fernández-Novales, María P Diago

    Diterbitkan 2015-01-01
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  9. 9
    On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties

    On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties oleh Salvador Gutiérrez, Juan Fernández-Novales, Maria P. Diago, Javier Tardaguila

    Diterbitkan 2018-07-01
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  10. 10
    vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques

    vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Technique... oleh Arturo Aquino, Borja Millan, Daniel Gaston, María-Paz Diago, Javier Tardaguila

    Diterbitkan 2015-08-01
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  11. 11
    Appraisal of wine color and phenols from a non-invasive grape berry fluorescence method

    Appraisal of wine color and phenols from a non-invasive grape berry fluorescence method oleh María Paz Diago, Zenaida Guadalupe, Javier Baluja, Borja Millan, Javier Tardáguila

    Diterbitkan 2013-03-01
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  12. 12
    Smart applications and digital technologies in viticulture: A review

    Smart applications and digital technologies in viticulture: A review oleh Javier Tardaguila, Manfred Stoll, Salvador Gutiérrez, Tony Proffitt, Maria P. Diago

    Diterbitkan 2021-12-01
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  13. 13
    Vineyard pruning weight assessment by machine vision: towards an on-the-go measurement system

    Vineyard pruning weight assessment by machine vision: towards an on-the-go measurement system oleh Borja Millan, Maria Paz Diago, Arturo Aquino, Fernando Palacios, Javier Tardaguila

    Diterbitkan 2019-05-01
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  14. 14
    Impact of Leaf Occlusions on Yield Assessment by Computer Vision in Commercial Vineyards

    Impact of Leaf Occlusions on Yield Assessment by Computer Vision in Commercial Vineyards oleh Rubén Íñiguez, Fernando Palacios, Ignacio Barrio, Inés Hernández, Salvador Gutiérrez, Javier Tardaguila

    Diterbitkan 2021-05-01
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  15. 15
    Artificial Intelligence and Novel Sensing Technologies for Assessing Downy Mildew in Grapevine

    Artificial Intelligence and Novel Sensing Technologies for Assessing Downy Mildew in Grapevine oleh Inés Hernández, Salvador Gutiérrez, Sara Ceballos, Rubén Iñíguez, Ignacio Barrio, Javier Tardaguila

    Diterbitkan 2021-05-01
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  16. 16
    Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spectroscopy

    Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spectroscopy oleh Maria P. Diago, Juan Fernández-Novales, Salvador Gutiérrez, Miguel Marañón, Javier Tardaguila

    Diterbitkan 2018-01-01
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  17. 17
    Unbiased Scientific Approaches to the Study of Terroir Are Needed!

    Unbiased Scientific Approaches to the Study of Terroir Are Needed! oleh Luca Brillante, Antonello Bonfante, Robert G.V. Bramley, Javier Tardaguila, Simone Priori

    Diterbitkan 2020-11-01
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  18. 18
    Using RPAS Multi-Spectral Imagery to Characterise Vigour, Leaf Development, Yield Components and Berry Composition Variability within a Vineyard

    Using RPAS Multi-Spectral Imagery to Characterise Vigour, Leaf Development, Yield Components and Berry Composition Variability within a Vineyard oleh Clara Rey-Caramés, María P. Diago, M. Pilar Martín, Agustín Lobo, Javier Tardaguila

    Diterbitkan 2015-10-01
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  19. 19
    Effects of timing of leaf removal on yield, berry maturity, wine composition and sensory properties of cv. Grenache grown under non irrigated conditions

    Effects of timing of leaf removal on yield, berry maturity, wine composition and sensory properties of cv. Grenache grown under non irrigated conditions oleh Javier Tardáguila, María Paz Diago, Fernando Martínez de Toda, Stefano Poni, Mar Vilanova

    Diterbitkan 2008-12-01
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  20. 20
    Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions

    Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions oleh Javier Tardaguila, Pilar Barreiro, Constantino Valero, Borja Millán, Christian Correa, Maria-Paz Diago

    Diterbitkan 2012-12-01
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