Javier
Tardáguila Laso
CATEDRÁTICO DE UNIVERSIDAD
Juan
Fernández Novales
Profesor sustituto
Publikationen, an denen er mitarbeitet Juan Fernández Novales (26)
2023
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Multi-sensor spectral fusion to model grape composition using deep learning
Information Fusion, Vol. 99
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NIR attribute selection for the development of vineyard water status predictive models
Biosystems Engineering, Vol. 229, pp. 167-178
2022
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Combination of multispectral imagery, environmental data and thermography for on-the-go monitoring of the grapevine water status in commercial vineyards
European Journal of Agronomy, Vol. 140
2021
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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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Monitoring and mapping vineyard water status using non-invasive technologies by a ground robot
Remote Sensing, Vol. 13, Núm. 14
2019
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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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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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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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On-the-go hyperspectral imaging for the in-field estimation of grape berry soluble solids and anthocyanin concentration
Australian Journal of Grape and Wine Research, Vol. 25, Núm. 1, pp. 127-133
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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: Agricultura, Núm. 278, pp. 88-91
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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
2018
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Development and validation of a new methodology to assess the vineyard water status by on-the-go near infrared spectroscopy
Frontiers in Plant Science, Vol. 9
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Effects of soil degradation and organic treatments on vegetative growth, yield and grape quality
EQA - International Journal of Environmental Quality, Vol. 30, pp. 31-35
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In field quantification and discrimination of different vineyard water regimes by on-the-go NIR spectroscopy
Biosystems Engineering, Vol. 165, pp. 47-58
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On-the-go hyperspectral imaging under field conditions and machine learning for the classification of grapevine varieties
Frontiers in Plant Science, Vol. 9
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Use of non-invasive RGB imaging to assess the canopy status in organic viticulture
EQA - International Journal of Environmental Quality, Vol. 30, pp. 23-30
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Vineyard water status assessment using on-the-go thermal imaging and machine learning
PLoS ONE, Vol. 13, Núm. 2
2017
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In-field assessment of grapevine water status using a portable NIR spectrophotometer
Acta Horticulturae, Vol. 1150, pp. 167-172
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Non-destructive assessment of grapevine water status in the field using a portable NIR spectrophotometer
Journal of the Science of Food and Agriculture, Vol. 97, Núm. 11, pp. 3772-3780
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On-the-go thermal imaging for water status assessment in commercial vineyards
Advances in Animal Biosciences, Vol. 8, Núm. 2, pp. 520-524