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
- agricultural sciencesagriculture, forestry, and fisheriesagriculturesustainable agriculture
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- agricultural sciencesanimal and dairy sciencedomestic animalsanimal husbandry
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
34100 Chalkida
Greece
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Participants (28)
28760 Tres Cantos Madrid
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92000 Nanterre
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1253 Luxembourg
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062204 Bucuresti
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1000 Ljubljana
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00137 Roma
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10178 Berlin
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013685 Bucuresti
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14564 Nea Kifisia
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9820 Merelbeke
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10561 Athina
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8800 Rumbeke Roselare
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90 136 Lodz
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04131 Almeria
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6708 PV Wageningen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
50018 Zaragoza
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LV-1010 Riga
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50018 Zaragoza
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30004 Katouna
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
29028 Pont Dell Olio
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24600 Chora Messinias
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33130 Saint-emilion
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507266 Sambata De Sus Brasov
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47023 Cesena
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
04204 Vilnius
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08111 Vilnius
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38121 Trento
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030161 Bucuresti
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Partners (1)
E1 4NS London
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