Author Results for "Tardáguila, Javier"

Tardáguila, Javier
Diago, Maria P.
European Commission
Fernández-Novales, Juan
Millán Prior, Borja
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Gutiérrez, Salvador
Aquino, Arturo
Marañón Grandes, Miguel
Ministerio de Economía y Competitividad (España)
Palacios, Fernando

Showing 1 - 20 results of 102 for search '"Tardáguila, Javier"', query time: 0.05s Refine Results
  1. 1
    Monitoring the vineyard: evaluating and managing the vineyard
    by Tardáguila, Javier
    Published 2018
    Other Authors: “...Tardáguila, Javier [0000-0002-6639-8723]...”
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  2. 2
    Estudio y desarrollo del deshojado precoz como técnica para el control del rendimiento productivo de la vid (Vitis vinifera L.). Efectos sobre el desarrollo vegetativo, los componentes de la producción, así como sobre la composición y la calidad de la uva y del vino
    by Diago, Maria P., Tardáguila, Javier
    Published 2010-03
    tesis doctoral biblioteca
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  3. 3
    New plant phenotyping technologies in a changing climate
    by Tardáguila, Javier, Diago, Maria P.
    Published 2016-04
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  4. 4
    Image analysis with deep learning for early detection of downy mildew in grapevine
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  5. 5
    A non-invasive method based on computer vision for grapevine cluster compactness assessment using a mobile sensing platform under field conditions
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  6. 6
    New method for on-the-go yield assessment using machine vision
    Other Authors: “...Tardáguila, Javier [0000-0002-6639-8723]...”
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  7. 7
    VineRobot: A new robot for vineyard monitoring using non-invasive sensing technologies
    presentación biblioteca
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  8. 8
    Soil electrical resistivity, a new and revealing technique for precision viticulture
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  9. 9
    Spatial variability of grape composition in a Tempranillo (Vitis vinifera L.) vineyard over a 3-year survey
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  10. 10
    Spatio-temporal dynamics of grape anthocyanin accumulation in a Tempranillo vineyard monitored by proximal sensing
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  11. 11
    Mapping and managing vineyard homogeneous zones through proximal geoelectrical sensing
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  12. 12
    Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis
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  13. 13
    Mechanical Crop Thinning and Early Defoliation as Novel Tools for Yield Management in VSP Grapevines
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  14. 14
    Variations of soil properties affect the vegetative growth and yield components of >Tempranillo> grapevines
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  15. 15
    Original data from manuscript entitled: Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer
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  16. 16
    On-The-Go VIS + SW − NIR spectroscopy as a reliable monitoring tool for grape composition within the vineyard
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  17. 17
    A new methodology for estimating the grapevine-berry number per cluster using image analysis
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  18. 18
    On-the-go hyperspectral imaging under field conditions and machine learning for the classification of grapevine varieties
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  19. 19
    On-the-Go grapevine yield estimation using Image analysis and boolean model
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  20. 20
    Image analysis-based modelling for flower number estimation in grapevine
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