P. Hernández-Ramos

Estimation of somatic cell count levels of hard cheeses using physicochemical composition and artificial neural networks.

P. Hernández-Ramos, A. Vivar-Quintana, I. Revilla, 2019, Journal of dairy science.

Prediction of stable isotopes and fatty acids in subcutaneous fat of Iberian pigs by means of NIR: A comparison between benchtop and portable systems.

P. Hernández-Ramos, I. Revilla, O. Escuredo, 2020, Talanta.

NIR Spectroscopy for Discriminating and Predicting the Sensory Profile of Dry-Cured Beef “Cecina”

Isabel Revilla, Ana M Vivar-Quintana, María Inmaculada González-Martín, 2020, Sensors.

Comparison of artificial neural networks and multiple regression tools applied to near infrared spectroscopy for predicting sensory properties of products from quality labels

Isabel Revilla, Ana M Vivar-Quintana, Miriam Hernández-Jiménez, 2020 .

Prediction of Sensory Parameters of Cured Ham: A Study of the Viability of the Use of NIR Spectroscopy and Artificial Neural Networks

Isabel Revilla, María Inmaculada González-Martín, Miriam Hernández-Jiménez, 2020, Sensors.