
Javier
Tardáguila Laso
CATEDRÁTICO DE UNIVERSIDAD
Publications (188)
2022
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Deep learning and computer vision for assessing the number of actual berries in commercial vineyards
Biosystems Engineering, Vol. 218, pp. 175-188
2021
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Monitoring and mapping vineyard water status using non-invasive technologies by a ground robot
Remote Sensing, Vol. 13, Núm. 14
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Impact of leaf occlusions on yield assessment by computer vision in commercial vineyards
Agronomy, Vol. 11, Núm. 5
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Estimación de la producción de uva del viñedo mediante visión artificial
La Semana vitivinícola, Núm. 3605, pp. 1995-1997
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Estimación de la producción de uva del viñedo mediante visión artificial
La Semana vitivinícola, Núm. 3589, pp. 472-474
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Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions
Computers and Electronics in Agriculture, Vol. 182
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Assessing and mapping vineyard water status using a ground mobile thermal imaging platform
Irrigation Science, Vol. 39, Núm. 4, pp. 457-468
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Artificial intelligence and novel sensing technologies for assessing downy mildew in grapevine
Horticulturae, Vol. 7, Núm. 5
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Aplicación de la visión por computador para evaluar la canopy en viñedos comerciales
La Semana vitivinícola, Núm. 3605, pp. 1991-1994
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Aplicación de la visión por computador para evaluar la canopy en viñedos comerciales
La Semana vitivinícola, Núm. 3589, pp. 468-471
2020
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Unbiased Scientific Approaches to the Study of Terroir Are Needed!
Frontiers in Earth Science, Vol. 8
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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
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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
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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
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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
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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
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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
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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
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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
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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