Juan Novales-Fernandez
Logrono, LO 26007, Spain
Last Updated: 09/26/2026
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Found 12 publications
Towards the automation of NIR spectroscopy to assess vineyard water status spatial-temporal variability from a ground moving vehicle.
Journal: Scientific reports
Published: March 28, 2023
Application of near-infrared spectroscopy for the estimation of volatile compounds in Tempranillo Blanco grape berries during ripening.
Journal: Journal of the science of food and agriculture
Published: February 03, 2023
Monitorization of Varietal Aroma Composition Dynamics during Ripening in Intact Vitis vinifera L. Tempranillo Blanco Berries by Hyperspectral Imaging.
Journal: Journal of agricultural and food chemistry
Published: January 26, 2023
On-The-Go VIS + SW - NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard.
Journal: Molecules (Basel, Switzerland)
Published: July 10, 2019
Assessment of amino acids and total soluble solids in intact grape berries using contactless Vis and NIR spectroscopy during ripening.
Journal: Talanta
Published: November 07, 2018
On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties.
Journal: Frontiers in plant science
Published: February 22, 2018
Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spectroscopy.
Journal: Frontiers in plant science
Published: October 13, 2017
Vineyard water status assessment using on-the-go thermal imaging and machine learning.
Journal: PloS one
Published: March 06, 2017
Non-destructive assessment of grapevine water status in the field using a portable NIR spectrophotometer.
Journal: Journal of the science of food and agriculture
Published: October 24, 2016
Use of Visible and Short-Wave Near-Infrared Hyperspectral Imaging To Fingerprint Anthocyanins in Intact Grape Berries.
Journal: Journal of agricultural and food chemistry
Published: September 23, 2016
Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions.
Journal: Sensors (Basel, Switzerland)
Published: December 02, 2015
Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer.
Journal: PloS one
Published: August 28, 2015
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Last Updated: 09/26/2026