Grapevine Project Inea/cef/ict/a2018/1837816

GRANT AGREEMENT UNDER THE CONNECTING EUROPE FACILITY (CEF) - TELECOMMUNICATIONS SECTOR AGREEMENT No INEA/CEF/ICT/A2018/1837816 According to GA, “The main objective of the Action GRAPEVINE is to promote the use of existing open data, HPC and data infrastructures by creating a predictive model based on Machine Learning techniques to improve the prevention and control of mildew and other grape wine diseases in the wine cultivation sector. Better monitoring and early reactions against highly destructive diseases will enable to decrease the amount of fungicide and the number of protective treatments. This will help to introduce sustainability criteria in agricultural production by offering consumers higher quality and safer agricultural products. In addition, the established approach has potential to be reused for monitoring and eliminating other fruit crop pests in the future. The model created for controlling mildew and other grapevine diseases will: • promote the use of existing open data, HPC and data infrastructures to enhance the existing processes to face challenges in the agricultural sector; • provide open information to farmers potentially affected by the mildew disease to apply more effective treatments based on the data produced by advanced technologies; • provide a reusable IT service, GRAPEVINE, potentially to be used by any region with similar issues.”