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Smart Farm and Agri-environmental Big Data Space

Project description

Growing innovative platform for smart farming

Over-irrigation and excessive use of synthetic fertilisers and pesticides are several key factors that increase yield cost and groundwater contamination. At the same time, suboptimal livestock production increases greenhouse gas emissions. In this context, smart farms can create an enormous amount of data based on IoT sensors and drones and have access to vast Earth Observation data available via Copernicus Hubs. The EU-funded AgriDataValue project will pioneer smart farming and agri-environmental monitoring and strengthen smart farming capacities, competitiveness and fair income. The project will introduce an innovative, intelligent and multi-technology fully distributed platform of platforms. AgriDataValue will adopt and adapt a multidimensional approach that combines advanced big data and data-spaces technologies with agricultural knowledge, new business models and agricultural policies.

Objective

Overirrigation and excessive use of synthetic fertilizers and pesticides increase yield cost, contaminate the aquifer and destroy the biodiversity, while suboptimal livestock production increases GhG emissions, contributing to the global warming. The solution on the triangle a) global food needs, b) competitiveness/farmers’ fair income and c) sustainable farming/protection of the environment lies in knowledge. Modern farms create a huge amount of data based on IoT sensors and drones, while vast EO data become available via Copernicus Hubs.
AgriDataSpace aims to establish itself as the “Game Changer” in Smart Farming and agri-environmental monitoring, and strengthen the smart-farming capacities, competitiveness and fair income by introducing an innovative, intelligent and multi-technology, fully distributed platform of platforms. To achieve technological maturity and massive acceptance, AgriDataSpace adopts and adapts a multidimensional approach that combines state of the art big data and data-spaces’ technologies (BDVA/IDSA/GAIA-X) with agricultural knowledge, new business models and agri-environment policies, leverages on existing platforms and edge computing, and introduces novel concepts, methods, tools, pilots and engagement campaigns to go beyond today’s state of the art, perform breakthrough research and create sustainable innovation in upscaling (real-time) sensor data, already evident within the project lifetime.
AgriDataSpace will be validated via 24 Use cases in 23 pilots in 9 countries, representing more than 181,000ha with 25 types of crops that span from southwest to northeast Europe, outdoor and greenhouse crops, organic and non-organic production, and more than 2,000 animals of 5 types. More than 4,200 farmers will provide insights and more than 89,000 will be directly informed. More than 1,600 sensors will be utilized and more than 4,500 additional sensors will be installed to measure (real-time) data, including more than 2,500 RFID tags.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

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(opens in new window) HORIZON-CL6-2022-GOVERNANCE-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.

€ 679 732,38
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.

€ 679 732,38

Participants (29)

Partners (1)

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