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Green dEal cOmpliant iRriGation Increasing Europe’s Agriculture resilience to drought

Project description

Irrigation systems to increase agriculture’s drought resiliences

Innovative irrigation systems offer promising solutions for both water abundance and scarcity in agriculture, yet they continue to face substantial challenges. The EU-funded GEORGIA project will assess these systems, with a focus on the sustainable recycling of sewage sludge and biowaste, the use of biological water-absorbing geocomposites and enhanced water management practices in agriculture. The project will develop technologies such as in situ monitoring, drone-based assessments and an explainable AI decision support system, starting at the farm level and expanding to larger regions. Seven pilot studies will be conducted across six countries, covering a variety of crops and farming types, including both conventional and organic systems. The project will collect sensor data from farms spanning southern to north-eastern Europe, engaging over 1 200 farmers.

Objective

GEORGIA (Green dEal cOmpliant iRriGation Increasing Europe’s Agriculture resilience to drought) consortium, consisting of 16 partners from 9 European countries and led by Synelixis SA (the provider of SynField smart agriculture platform), has joined forces to increasing the resilience of agriculture to drought enhancing efficiency in water management.
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. In parallel, 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

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-IA - HORIZON Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL6-2024-CLIMATE-01

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Coordinator

SYNELIXIS LYSEIS PLIROFORIKIS AUTOMATISMOU & TILEPIKOINONION ANONIMI ETAIRIA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 729 594,74
Address
FARMAKIDOU 10
34 100 CHALKIDA
Greece

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Κεντρική Ελλάδα Στερεά Ελλάδα Εύβοια
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (16)

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