M. Inmaculada González-Martín

According to our database, M. Inmaculada González-Martín authored at least 6 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2020

NIR Spectroscopy for Discriminating and Predicting the Sensory Profile of Dry-Cured Beef "Cecina".

Isabel Revilla, Ana María Vivar-Quintana, M. Inmaculada González-Martín, Miriam Hernández-Jiménez, Iván Martínez-Martín, Pedro Hernández-Ramos

Sensors, 2020

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

Pedro Hernández-Ramos, Ana María Vivar-Quintana, Isabel Revilla, M. Inmaculada González-Martín, Miriam Hernández-Jiménez, Iván Martínez-Martín

Sensors, 2020

Accurate Prediction of Sensory Attributes of Cheese Using Near-Infrared Spectroscopy Based on Artificial Neural Network.

Belén Curto, Vidal Moreno, Juan Alberto García-Esteban, Francisco Javier Blanco, M. Inmaculada González-Martín, Ana María Vivar-Quintana, Isabel Revilla

Sensors, 2020

2018

A digitalization strategy for quality control in food industry based on Artificial Intelligence techniques.

Juan Alberto García-Esteban, Belén Curto, Vidal Moreno, M. Inmaculada González-Martín, Isabel Revilla, Ana María Vivar-Quintana

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

2017

Flavonoid and Antioxidant Capacity of Propolis Prediction Using Near Infrared Spectroscopy.

Eddy Betances-Salcedo, Isabel Revilla, Ana María Vivar-Quintana, M. Inmaculada González-Martín

Sensors, 2017

2015

Determination of the Mineral Composition and Toxic Element Contents of Propolis by Near Infrared Spectroscopy.

M. Inmaculada González-Martín, Olga Escuredo, Isabel Revilla, Ana María Vivar-Quintana, M. Carmen Coello, Carlos Palacios Riocerezo, Guillermo Wells Moncada

Sensors, 2015