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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.authorMurru, Clarissa 
dc.contributor.authorChimeno Trinchet, Cristian 
dc.contributor.authorDíaz García, Marta Elena 
dc.contributor.authorBadía Laíño, Rosana 
dc.contributor.authorFernández González, Alfonso 
dc.date.accessioned2019-11-14T10:21:24Z
dc.date.available2019-11-14T10:21:24Z
dc.date.issued2019
dc.identifier.citationComputers and Electronics in Agriculture, 164, (2019); doi:10.1016/j.compag.2019.104922
dc.identifier.issn0168-1699
dc.identifier.urihttp://hdl.handle.net/10651/52911
dc.description.sponsorshipWe 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.isoeng
dc.relation.ispartofComputers and Electronics in Agriculture
dc.rights© 2019 Elsevier B.V.
dc.rightsCC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus
dc.source.urihttps://www2.scopus.com/inward/record.uri?eid=2-s2.0-85069921305&doi=10.1016%2fj.compag.2019.104922&partnerID=40&md5=de00feb51393c3bcdf85ffc5bd829013
dc.titleArtificial 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.typejournal article
dc.identifier.doi10.1016/j.compag.2019.104922
dc.relation.projectIDMINECO/FEDER/MAT2015-66747-R
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.compag.2019.104922
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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