153623 20251017144552.0 doi 10.26754/jjii3a.4868 sideral 143814 ART-2021-143814 eng Lacueva Pérez, Francisco José (orcid)0000-0003-0998-2939 Improving Grapevine Sustainability through Multifactorial Machine Learning Application 2021 Access copy available to the general public Unrestricted Wine 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. info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Ilarri Artigas, Sergio Universidad de Zaragoza (orcid)0000-0002-7073-219X Del Hoyo, Rafael Barriuso, Juan José Universidad de Zaragoza (orcid)0000-0003-2980-5454 5011 705 Universidad de Zaragoza Dpto. CC.Agrar.y Medio Natural Área Producción Vegetal 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 8 (2021), [2 pp.] Jorn. jóvenes investig. I3A Jornada de jóvenes investigadores del I3A 2341-4790 361391 http://zaguan.unizar.es/record/153623/files/texto_completo.pdf Versión publicada 2599656 http://zaguan.unizar.es/record/153623/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:153623 articulos driver 2025-10-17-14:12:11 ARTICLE