Project Description

GRAPEVINE – hiGh peRformAnce comPuting sErvices for preVentIon and coNtrol of pEsts in fruit crops

Period: 2019-10-01 – 2022-09-30

Funded by: Comisión Europea

Development of a predictive model based on Machine Learning techniques to improve, first, the evaluation and control of mold in wine culture to reduce the amount of fungicide and, secondly, the number of treatments to introduce criteria for sustainability in agricultural production. , which offers higher quality and safe agricultural products for the consumer. The approach can be reused to control other pests in fruit crops in the future.
The results of the services will be published on a platform open to the community concerned so that they can benefit from the results in terms of optimizing the amount of chemicals used to treat diseases that will result in positive economic and environmental impacts.