Repositorio Institucional de la Universidad de Oviedo

Artificial Neural Network and Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy to identify the chemical variables related to ripeness and variety classification of grapes for Protected Designation of Origin wine production

Autor(es) y otros:

Murru, Clarissa; Chimeno Trinchet, Cristian; Díaz García, Marta Elena; Badía Laíño, Rosana; Fernández González, Alfonso

Fecha de publicación:

2019

Versión del editor:

http://dx.doi.org/10.1016/j.compag.2019.104922

Citación:

Computers and Electronics in Agriculture, 164, (2019); doi:10.1016/j.compag.2019.104922

URI:

http://hdl.handle.net/10651/52911

ISSN:

0168-1699

DOI:

10.1016/j.compag.2019.104922

Patrocinado por:

We would like to acknowledge the Ministerio de Economía yCompetitividad and European Regional Development Fund (MINECO/FEDER) by thefinancial support under the project MAT2015-66747-R.