María Paz
Diago Santamaría
Profesora Titular de Universidad
Ignacio
Barrio Fernández
Titulado Superior
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
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
2023
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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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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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Computer vision for assessing downy mildew in grapevine leaves under laboratory conditions
1st International Conference on Computing and Machine Intelligence
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Inteligencia artificial y sensórica avanzada para monitorizar el mildiu en vid
Enoviticultura, Núm. 69
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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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Non-invasive monitoring of berry ripening using on-the-go hyperspectral imaging in the vineyard
Agronomy, Vol. 11, Núm. 12
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
2018
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vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis
Computers and Electronics in Agriculture, Vol. 148, pp. 19-28