Policy objective: PO1 - A more competitive and smarter Europe by promoting innovative and smart economic transformation and regional ICT connectivity

Specific objective: SO1 - Developing and enhancing research and innovation capacities and the uptake of advanced technologies

Typology: Standard project

The AI-GRAPE project continues to address the common challenge of implementing advanced technologies in disease management in the wine industry, building upon what SUSGRAPE has accomplished, with a focus on diseases caused by harmful insects in the vineyards through the implementation of AI-based decision-making models. Effective management of these diseases is crucial for grape growers, as it can significantly impact the quality and quantity of the harvest while also reducing the use of pesticides. The expected change brought by the project is a more sustainable and precision viticulture, based on data collection and analysis, guided by AI. The primary innovation of the project lies in integrating heterogeneous data through AI to create precise predictive models. The use of advanced technologies such as machine learning and big data analysis allows for the anticipation of epidemics, enabling grape growers to intervene promptly and strategically. The main beneficiaries are grape growers, agricultural companies, and the cross-border wine community. Grape growers can make decisions based on objective data, reducing disease-related damage and improving production. Cross-border cooperation is essential to address this challenge, as plant diseases do not recognize borders. The collaborative approach allows for data collection from different areas, improving the accuracy of predictive models. Furthermore, collaboration facilitates the sharing of knowledge and best practices among grape growers in the regions involved. Expected results include a 20% reduction in pesticide use, a 15% increase in vineyard yields, and a 10% reduction in losses due to harmful insect infestations, contributing to greater environmental awareness among grape growers, increased adoption of sustainable agricultural practices, and greater knowledge and trust in digitization processes for the wine industry.