Improving Grapevine Sustainability through Multifactorial Machine Learning Application

Lacueva Pérez, Francisco José ; Ilarri Artigas, Sergio (Universidad de Zaragoza) ; Del Hoyo, Rafael ; Barriuso, Juan José (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.26754/jjii3a.4868

Año: 2021

Publicado en: Jornada de jóvenes investigadores del I3A 8 (2021), [2 pp.]
ISSN: 2341-4790

Tipo y forma: Article (Published version)

Área (Departamento): Área Producción Vegetal (Dpto. CC.Agrar.y Medio Natural)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)