Project description
Connecting farming with innovative technology
Agriculture is a high-volume business with low operational efficiency. The EU-funded CYBELE project will generate innovation and create value in the field of agri-food in precision agriculture and precision livestock farming to increase capacity building within the industrial and research communities. The project envisages demonstrating that high-performance computing (HPC), Big Data, cloud computing, and the Internet of Things can transform farming, reduce scarcity, increase food supply, and bring social, economic and environmental benefits. CYBELE develops large-scale HPC-enabled testbeds and brings a distributed Big Data management architecture and a data management strategy that provide integrated access to large-scale data sets, a data and service-driven virtual HPC-enabled environment, and a bouquet of field-specific and generic services.
Objective
CYBELE generates innovation and create value in the domain of agri-food, and its verticals in the sub-domains of PA and PLF in specific, as demonstrated by the real-life industrial cases to be supported, empowering capacity building within the industrial and research community. Since agriculture is a high volume business with low operational efficiency, CYBELE aspires at demonstrating how the convergence of HPC, Big Data, Cloud Computing and the IoT can revolutionize farming, reduce scarcity and increase food supply, bringing social, economic, and environmental benefits. CYBELE intends to safeguard that stakeholders have integrated, unmediated access to a vast amount of large scale datasets of diverse types from a variety of sources, and they are capable of generating value and extracting insights, by providing secure and unmediated access to large-scale HPC infrastructures supporting data discovery, processing, combination and visualization services, solving challenges modelled as mathematical algorithms requiring high computing power. CYBELE develops large scale HPC-enabled test beds and delivers a distributed big data management architecture and a data management strategy providing 1) integrated, unmediated access to large scale datasets of diverse types from a multitude of distributed data sources, 2) a data and service driven virtual HPC-enabled environment supporting the execution of multi-parametric agri-food related impact model experiments, optimizing the features of processing large scale datasets and 3) a bouquet of domain specific and generic services on top of the virtual research environment facilitating the elicitation of knowledge from big agri-food related data, addressing the issue of increasing responsiveness and empowering automation-assisted decision making, empowering the stakeholders to use resources in a more environmentally responsible manner, improve sourcing decisions, and implement circular-economy solutions in the food chain.
Fields of science
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
X91 K0EK Waterford
Ireland
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Participants (31)
08034 Barcelona
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78340 Les Clayes Sous Bois
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40033 Casalecchio Di Reno Bo
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70174 Stuttgart
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61 704 Poznan
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69190 Saint Fons
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
11526 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28223 POZUELO DE ALARCON MADRID
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
106 82 ATHINA
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57001 Thermi Thessaloniki
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33100 Tampere
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185 33 PIRAEUS
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11632 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3013 Limassol
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1253 Luxembourg
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00144 ROMA
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6708 PB Wageningen
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6708 PB Wageningen
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21000 Novi Sad
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1010 Wien
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
15126 Marousi
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28760 Tres Cantos
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46001 Valencia
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G1 1XQ Glasgow
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9820 Merelbeke
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5281 RMA Boxtel
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85100 Rhodes Island
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1165 Kobenhavn
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1040 Etterbeek
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
EC2A 2AP LONDON
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3001 Leuven
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.