Full title: Fostering Precision Agriculture And Livestock Farming Through Secure Access To Large-Scale Hpc-Enabled Virtual Industrial Experimentation Environment Empowering Scalable Big Data Analytics (CYBELE)
Partners: BSC, BULL SAS BULL, CINECA, USTUTT, PSNC, RYAX, EXUS AE, LEANXCALE SL LX,ICCS, CERTH, TUT, UPRC, UBITECH, SUITE DATA INTELLIGENCE, INTRA, ENG, WU, WR, BIOS, HAFTUNG, AGRO, GMV, CACV, UNIVERSITY OF STRATHCLYDE STRATH, ILVO, VION, IS, UCPH, EVENFLOW, OPEN GEOSPATIAL CONSORTIUM, LIMITED LBG OGCE
Start date: 01/01/2019, Duration: 36 months
European Commission, Ηorizon 2020
CYBELE generates innovation and creates 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.