Juan Fernández Novales

Profesor Ayudante Doctor

University of La Rioja

Spain

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About

Juan Fernández Novales is a Profesor Ayudante Doctor at Universidad de La Rioja, Spain. His research focuses on hyperspectral imaging and near-infrared spectroscopy applied to viticulture, particularly in estimating and monitoring the volatile composition and water status of grape varieties such as Tempranillo and Tempranillo Blanco during ripening. He is committed to advancing non-invasive monitoring techniques in vineyard management through innovative technology and deep learning approaches.

Articles (10)

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2021

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2021

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2021

Collaborators (4)

Salvador Gutiérrez

Lecturer

Universidad de Granada

SPAIN

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Cristina Cebrián Tarancón

University of Castilla-La Mancha

SPAIN

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Javier Tardaguila

Full Professor of Precision Viticulture

University of La Rioja

SPAIN

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Rosario Sánchez-Gómez

Profesora Contratada Doctora Interina

Universidad de Castilla-La Mancha - Campus de Albacete

SPAIN

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Juan Fernández Novales

Research Interests

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About

Articles (10)

Use of the hyperspectral imaging to estimate the volatile composition of Tempranillo grape berries during ripening

NIR attribute selection for the development of vineyard water status predictive models

Application of near‐infrared spectroscopy for the estimation of volatile compounds in Tempranillo Blanco grape berries during ripening

Monitorization of Varietal Aroma Composition Dynamics during Ripening in Intact Vitis vinifera L. Tempranillo Blanco Berries by Hyperspectral Imaging

Multi-sensor spectral fusion to model grape composition using deep learning

Towards the automation of NIR spectroscopy to assess vineyard water status spatial–temporal variability from a ground moving vehicle

Combination of multispectral imagery, environmental data and thermography for on-the-go monitoring of the grapevine water status in commercial vineyards

Assessing and mapping vineyard water status using a ground mobile thermal imaging platform

Monitoring and Mapping Vineyard Water Status Using Non-Invasive Technologies by a Ground Robot

Non-Invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard

Collaborators (4)

Salvador Gutiérrez

Cristina Cebrián Tarancón

Javier Tardaguila

Rosario Sánchez-Gómez

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