Big Data and Machine Learning to Improve European Grapevine Moth ( Lobesia botrana ) Predictions.

Autor: Balduque-Gil J; Department of Agricultural Sciences and Natural Environment, AgriFood Institute of Aragon (IA2), University of Zaragoza, Avenida Miguel Servet 177, 50013 Zaragoza, Spain., Lacueva-Pérez FJ; Department of Big Data and Cognitive Systems, Instituto Tecnológico de Aragón, ITAINNOVA, María de Luna 7-8, 50018 Zaragoza, Spain., Labata-Lezaun G; Department of Big Data and Cognitive Systems, Instituto Tecnológico de Aragón, ITAINNOVA, María de Luna 7-8, 50018 Zaragoza, Spain., Del-Hoyo-Alonso R; Department of Big Data and Cognitive Systems, Instituto Tecnológico de Aragón, ITAINNOVA, María de Luna 7-8, 50018 Zaragoza, Spain., Ilarri S; Departamento de Informática e Ingeniería de Sistemas, Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza, María de Luna 1, 50018 Zaragoza, Spain., Sánchez-Hernández E; Department of Agricultural and Forestry Engineering, ETSIIAA, University of Valladolid, Avenida de Madrid 44, 34004 Palencia, Spain., Martín-Ramos P; Department of Agricultural and Forestry Engineering, ETSIIAA, University of Valladolid, Avenida de Madrid 44, 34004 Palencia, Spain., Barriuso-Vargas JJ; Department of Agricultural Sciences and Natural Environment, AgriFood Institute of Aragon (IA2), University of Zaragoza, Avenida Miguel Servet 177, 50013 Zaragoza, Spain.

Publikováno v: Plants (Basel, Switzerland) [Plants (Basel)] 2023 Feb 01; Vol. 12 (3). Date of Electronic Publication: 2023 Feb 01.