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

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

doi:10.1016/j.compag.2019.104922

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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

dc.contributor.author	Murru, Clarissa
dc.contributor.author	Chimeno Trinchet, Cristian
dc.contributor.author	Díaz García, Marta Elena
dc.contributor.author	Badía Laíño, Rosana
dc.contributor.author	Fernández González, Alfonso
dc.date.accessioned	2019-11-14T10:21:24Z
dc.date.available	2019-11-14T10:21:24Z
dc.date.issued	2019
dc.identifier.citation	Computers and Electronics in Agriculture, 164, (2019); doi:10.1016/j.compag.2019.104922
dc.identifier.issn	0168-1699
dc.identifier.uri	http://hdl.handle.net/10651/52911
dc.description.sponsorship	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.
dc.language.iso	eng
dc.relation.ispartof	Computers and Electronics in Agriculture
dc.rights	© 2019 Elsevier B.V.
dc.rights	CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85069921305&doi=10.1016%2fj.compag.2019.104922&partnerID=40&md5=de00feb51393c3bcdf85ffc5bd829013
dc.title	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
dc.type	journal article
dc.identifier.doi	10.1016/j.compag.2019.104922
dc.relation.projectID	MINECO/FEDER/MAT2015-66747-R
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.compag.2019.104922
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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Artículos [34642]
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