Publications (188)

2022

  1. Deep learning and computer vision for assessing the number of actual berries in commercial vineyards

    Biosystems Engineering, Vol. 218, pp. 175-188

2021

  1. Monitoring and mapping vineyard water status using non-invasive technologies by a ground robot

    Remote Sensing, Vol. 13, Núm. 14

  2. Impact of leaf occlusions on yield assessment by computer vision in commercial vineyards

    Agronomy, Vol. 11, Núm. 5

  3. Estimación de la producción de uva del viñedo mediante visión artificial

    La Semana vitivinícola, Núm. 3605, pp. 1995-1997

  4. Estimación de la producción de uva del viñedo mediante visión artificial

    La Semana vitivinícola, Núm. 3589, pp. 472-474

  5. Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions

    Computers and Electronics in Agriculture, Vol. 182

  6. Assessing and mapping vineyard water status using a ground mobile thermal imaging platform

    Irrigation Science, Vol. 39, Núm. 4, pp. 457-468

  7. Artificial intelligence and novel sensing technologies for assessing downy mildew in grapevine

    Horticulturae, Vol. 7, Núm. 5

  8. Aplicación de la visión por computador para evaluar la canopy en viñedos comerciales

    La Semana vitivinícola, Núm. 3605, pp. 1991-1994

  9. Aplicación de la visión por computador para evaluar la canopy en viñedos comerciales

    La Semana vitivinícola, Núm. 3589, pp. 468-471

2020

  1. Unbiased Scientific Approaches to the Study of Terroir Are Needed!

    Frontiers in Earth Science, Vol. 8

  2. 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

    Computers and Electronics in Agriculture, Vol. 178

2019

  1. VINESCOUT: a vineyard autonomous robot for on-the-go assessment of grapevine vigour and water status [Poster]

    12th European Conference on Precision Agriculture, july 8-11, Montpellier, France. ECPA 2019

  2. Hyperspectral imaging application under field conditions: Assessment of the spatio-temporal variability of grape composition within a vineyard

    Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019

  3. Proyecto Vinescout: El robot monitorizará al menos 6 has/día y dará información para planificar la poda, el riego, la fertilización o la vendimia

    Tierras de Castilla y León: Agricultura, Núm. 278, pp. 88-91

  4. On-the-go assessment of vineyard canopy porosity, bunch and leaf exposure by image analysis

    Australian Journal of Grape and Wine Research, Vol. 25, Núm. 3, pp. 363-374

  5. On-The-Go VIS + SW - NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard

    Molecules (Basel, Switzerland), Vol. 24, Núm. 15

  6. Mechanical behaviour of three organic fertilisers to optimise spreading methods in the vineyard

    Rivista di Studi sulla Sostenibilita, Vol. 2019, Núm. 2, pp. 375-390

  7. Assessment of amino acids and total soluble solids in intact grape berries using contactless Vis and NIR spectroscopy during ripening

    Talanta, Vol. 199, pp. 244-253

  8. A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions

    Sensors (Basel, Switzerland), Vol. 19, Núm. 17