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
- natural sciencescomputer and information sciencesinternetinternet of things
- 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
Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
34100 Chalkida
Greece
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participants (29)
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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Participation ended
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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44227 Dortmund
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013685 Bucuresti
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
14564 Nea Kifisia
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9820 Merelbeke
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10561 Athina
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8800 RUMBEKE-BEITEM
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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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1000 Ljubljana
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Partners (1)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
E1 4NS London
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