GEORGIA focuses on increasing the resilience of agriculture to drought and enhancing efficiency in water management. Drivers and barriers of key innovative irrigation systems are assessed, including environmentally responsible recycling of sewage sludge and biowaste streams, biological water-absorbing geocomposites, as well as water abundance and scarcity solutions. In parallel, GEORGIA pursues their optimal application through local condition modeling and employment of Artificial Intelligence.
GEORGIA partners develop in-situ, drone-based and geospatial monitoring, an eXplainable-AI decision support system as well as Crop Digital Twins. The project 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, different production types (conventional, intensive, agroecology and organic) and geographical regions,
Sensor data will be collected and processed from farms that span from the Southern to Northeast Europe, along with organic and non-organic production. More than 1,200 farmers will be directly involved in the experimentation phase, and more than 89,000 farmers will be directly informed.
Visit website: https://georgia-horizon.eu/
