000153623 001__ 153623
000153623 005__ 20250508112647.0
000153623 0247_ $$2doi$$a10.26754/jjii3a.4868
000153623 0248_ $$2sideral$$a143814
000153623 037__ $$aART-2021-143814
000153623 041__ $$aeng
000153623 100__ $$0(orcid)0000-0003-0998-2939$$aLacueva Pérez, Francisco José
000153623 245__ $$aImproving Grapevine Sustainability through Multifactorial Machine Learning Application
000153623 260__ $$c2021
000153623 5060_ $$aAccess copy available to the general public$$fUnrestricted
000153623 5203_ $$aWine farms have to adapt their activities to achieve sustainable development goals. Our goal is to contribute to this adaptation by developing Machine Learning models to predict phenology and pest risk with the aim of reducing applied phytosanitary treatments.
000153623 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000153623 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000153623 700__ $$0(orcid)0000-0002-7073-219X$$aIlarri Artigas, Sergio$$uUniversidad de Zaragoza
000153623 700__ $$aDel Hoyo, Rafael
000153623 700__ $$0(orcid)0000-0003-2980-5454$$aBarriuso, Juan José$$uUniversidad de Zaragoza
000153623 7102_ $$15011$$2705$$aUniversidad de Zaragoza$$bDpto. CC.Agrar.y Medio Natural$$cÁrea Producción Vegetal
000153623 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000153623 773__ $$g8 (2021), [2 pp.]$$pJorn. jóvenes investig. I3A$$tJornada de jóvenes investigadores del I3A$$x2341-4790
000153623 8564_ $$s361391$$uhttps://zaguan.unizar.es/record/153623/files/texto_completo.pdf$$yVersión publicada
000153623 8564_ $$s2599656$$uhttps://zaguan.unizar.es/record/153623/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000153623 909CO $$ooai:zaguan.unizar.es:153623$$particulos$$pdriver
000153623 951__ $$a2025-05-08-09:45:27
000153623 980__ $$aARTICLE