María Paz
Diago Santamaría
Profesora Titular de Universidad
Juan
Fernández Novales
Profesor Ayudante Doctor
2025
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Characterization of winegrape berries’ composition on sorting tables using hyperspectral imaging and AI
46th World Congress of Vine and Wine ; 23rd General Assembly of the OIV. Book of abstracts
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Estimación del estado hídrico del viñedo mediante espectroscopía infrarroja (NIR) desde el vehículo terrestre
La Semana vitivinícola, Núm. 3701, pp. 1878-1883
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Estimación del estado hídrico del viñedo mediante espectroscopía infrarroja (NIR) desde un vehículo terrestre
La Semana vitivinícola, Núm. 3694, pp. 1284-1289
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NIR spectroscopy for predicting the aroma potential of intact tempranillo grape berries during ripening
European Food Research and Technology, Vol. 251, Núm. 9, pp. 2731-2746
2024
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Combination of NIR multispectral information acquired from a ground moving vehicle with AI methods to assess the vine water status in a Tempranillo (Vitis vinifera L.) commercial vineyard
Open GPB 2024
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Implementing VIS-NIR spectroscopy as a rapid and non-intrusive technique for assessing anthocyanin and phenolic concentrations in Vitis vinifera L. Grenache whole grape berries
Open GPB 2024
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Use of the hyperspectral imaging to estimate the volatile composition of Tempranillo grape berries during ripening
Scientia Horticulturae, Vol. 337
2023
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Application of near-infrared spectroscopy for the estimation of volatile compounds in Tempranillo Blanco grape berries during ripening
Journal of the Science of Food and Agriculture, Vol. 103, Núm. 13, pp. 6317-6329
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Assessing and mapping vineyard water status variability using a miniaturized nir spectrophotometer from a moving vehicle
GIESCO 2023
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Effect of scion-rootstock combinations on the performance of a near-infrared (NIR) spectroscopy method for determining vine water status
GIESCO 2023
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Hyperspectral imaging for the appraisal of varietal aroma composition along maturation in intact Vitis vinifera L. Tempranillo Blanco berries
GIESCO 2023
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Monitorization of Varietal Aroma Composition Dynamics during Ripening in Intact Vitis vinifera L. Tempranillo Blanco Berries by Hyperspectral Imaging
Journal of Agricultural and Food Chemistry, Vol. 71, Núm. 5, pp. 2616-2627
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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
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Near infrared spectroscopy for the estimation of Tempranillo Blanco volatile composition along grape maturation
12th International Symposium of Oenology of Bordeaux and 9th Edition of the Macrowine Symposium (Œno Macrowine 2023). Book of abstracts
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Towards the automation of NIR spectroscopy to assess vineyard water status spatial–temporal variability from a ground moving vehicle
Scientific Reports, Vol. 13, Núm. 1
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
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Monitorización en continuo del estado hídrico del viñedo con una herramienta espectral de bajo coste y tamaño
IV Jornadas del Grupo de Viticultura: Acta de Horticultura : Comunicaciones Técnicas Sociedad Española de Ciencias Hortícolas : 26-28 de octubre 2022, Pamplona/Iruña
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Use of a new, miniaturized, low-cost spectral sensor to estimate and map the vineyard water status from a mobile platform
Terclim 2022
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