CIENCIAS DE LA COMPUTACIÓN E INTELIGENCIA ARTIFICIAL
DEPARTAMENTO
Juan
Fernández Novales
Publicaciones en las que colabora con Juan Fernández Novales (17)
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
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
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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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
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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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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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
2016
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Data mining and NIR spectroscopy in viticulture: Applications for plant phenotyping under field conditions
Sensors, Vol. 16, Núm. 2
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Near Infrared Spectroscopy and Data Mining: Classification of Grapevine Varieties
NIR news, Vol. 27, Núm. 5, pp. 8-10
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Uso de la espectroscopía NIR como herramienta de monitorización no invasiva del estado hídrico del viñedo
II Jornadas del Grupo de Viticultura: comunicaciones técnicas : Madrid, 3-4 de noviembre de 2016
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Vineyard Water Status Estimation with near Infrared Spectroscopy and Data Mining
NIR news, Vol. 27, Núm. 7, pp. 18-20