Vídeo del GO VITICAST sobre soluciones innovadoras para la prevención de enfermedades fúngicas en la vid
Predicting fungal disease risk in vineyards using real-time spore detection and environmental data
Detail description
This project develops advanced tools to predict fungal disease outbreaks in vineyards by integrating real-time aerobiological monitoring of airborne spores with meteorological and phenological data. Based on models from the Monet Viticultura initiative, Viticast enables precise, risk-based application of phytosanitary treatments, reducing unnecessary chemical use. The system enhances vineyard sustainability, supports wine quality, and protects the environment through data-driven decision-making.
Contribution detail info
- Project
VITICAST – Innovative solutions for the prediction of fungal diseases in grapevine
VITICAST – Innovative solutions for the prediction of fungal diseases in grapevine
- Location
- Spain
- Authors
- José Antonio Gay Fernández
- Purpose
- Communication, Dissemination
- File type
- video
- Created on
- Jul 01, 2021
- Origin language
- Spanish
- Official project website
- VITICAST – Innovative solutions for the prediction of fungal diseases in grapevine
- License
- CC BY
- Keywords