Georgia Project

The project assesses drivers and barriers of key innovative irrigation systems, including environmentally responsible recycling of sewage sludge and biowaste streams, biological water-absorbing geocomposites, as well as water abundance and scarcity solutions.

GEORGIA pursues their optimal application through local condition modeling and employment of Artificial Intelligence. To this end, the partners develop in-situ, drone-based and geospatial monitoring, an eXplainable-AI decision support system as well as Crop Digital Twins. GEORGIA enhances and validates these technologies starting from the farm level and upscaling at large-scale and catchment levels.

The socio-techno-economic approach is validated in 7 pilots in 6 countries, connected through a Federated Deep Machine Learning architecture. GEORGIA covers multiple crops, production types (conventional, intensive, agroecology and organic) and geographical regions, namely a) Mediterranean (Greece, Cyprus), b) Southeast Europe-Balkans (Bulgaria, Serbia) c) Central Europe-Midland (Austria), and d) Continental Europe-Baltic Sea (Poland). We will be able to collect and process sensor data from farms that span from the Southern to Northeast Europe, along with organic and non-organic production.

We will also have access to large facilities such as Biological Cleaning Plant at BSL 3 covering large private farms, a Greek island (Santorini) and a Greek Region. More than 1,200 farmers will be directly involved in the experimentation phase, providing insights and feedback on AgriDataSpace platform and knowledge provided and more than 89,000 farmers will be dire.