AI-based microbiome solutions for the resilience of life and soil regeneration through cross-border cooperation
Link to ideologist.eu [coming soon]
The IDEOLOGIST project addresses a shared cross-border challenge: improving vineyard management in response to climate change and soil degradation by harnessing microbial biodiversity. Using an AI-driven approach, the project will integrate agricultural data—such as soil properties, climate, and cultivation practices—with plant physiological and microbiological information. Machine learning models will identify sustainable, targeted interventions to restore balance and increase resilience. Beneficial microbial communities, isolated from naturally resilient plants, will be introduced into vineyards affected by dysbiosis, with AI guiding the selection of the most effective treatments for specific biotic and abiotic stresses.
Project Partners
- International Centre for Genetic Engineering and Biotechnology, Cardiovascular Biology Group – Trieste (Lead Partner)
- University of Innsbruck
- Libera Università di Bolzano
- Università di Scienze Applicate della Carinzia
- Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria crea
- Primo Principio
- Camera di Commercio Pordenone – Udine
Associated Partners:
Project Objectives
The project involves the active involvement of all stakeholders in the wine sector in the project area through communication activities and dedicated events, supported by a digital platform for data sharing and information exchange.
IDEOLOGIST promotes knowledge transfer in schools at various levels through innovative activities to convey the importance of sustainability and environmental care.
A key output is a digital platform built on the existing CEDRIC platform, designed to manage data, engage stakeholders, and support knowledge exchange among farmers, researchers, and public authorities. Stakeholders at different levels will be engaged through targeted outreach activities, ensuring broad participation and lasting impact.
Duration: 2026-2028
Total cost: 1,239,722.10 €
EU financing: 991,777.68 €