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CYBELE SIGNED

FOSTERING PRECISION AGRICULTURE AND LIVESTOCK FARMING THROUGH SECURE ACCESS TO LARGE-SCALE HPC-ENABLED VIRTUAL INDUSTRIAL EXPERIMENTATION ENVIRONMENT EMPOWERING SCALABLE BIG DATA ANALYTICS

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 CYBELE project word cloud

Explore the words cloud of the CYBELE project. It provides you a very rough idea of what is the project "CYBELE" about.

demonstrated    sources    assisted    building    develops    convergence    algorithms    model    food    requiring    beds    diverse    datasets    economic    delivers    bouquet    circular    infrastructures    economy    optimizing    social    responsible    insights    architecture    enabled    sub    generating    iot    business    agri    cloud    distributed    solutions    cybele    virtual    multitude    data    unmediated    aspires    domain    service    intends    verticals    scarcity    environmentally    mathematical    visualization    stakeholders    services    environmental    hpc    farming    automation    generates    volume    empowering    discovery    decisions    revolutionize    strategy    big    efficiency    benefits    responsiveness    computing    supporting    secure    domains    decision    innovation    plf    sourcing    experiments    issue    industrial    variety    vast    modelled    demonstrating    pa    agriculture    amount    extracting    environment    supply    elicitation    chain    life    reduce    manner    combination    parametric    capacity    community    solving    types    power    safeguard    create   

Project "CYBELE" data sheet

The following table provides information about the project.

Coordinator
WATERFORD INSTITUTE OF TECHNOLOGY 

Organization address
address: CORK ROAD
city: Waterford
postcode: X91
website: http://cefims.eu/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Ireland [IE]
 Total cost 14˙309˙650 €
 EC max contribution 12˙407˙673 € (87%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2018-2
 Funding Scheme IA
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2021-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    WATERFORD INSTITUTE OF TECHNOLOGY IE (Waterford) coordinator 760˙000.00
2    INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS EL (ATHINA) participant 771˙875.00
3    EIGEN VERMOGEN VAN HET INSTITUUT VOOR LANDBOUW- EN VISSERIJONDERZOEK BE (MERELBEKE) participant 734˙075.00
4    WAGENINGEN UNIVERSITY NL (WAGENINGEN) participant 551˙875.00
5    UNIVERSITAET STUTTGART DE (STUTTGART) participant 535˙062.00
6    UNIVERSITY OF STRATHCLYDE UK (GLASGOW) participant 517˙500.00
7    KOBENHAVNS UNIVERSITET DK (KOBENHAVN) participant 493˙991.00
8    INSTYTUT CHEMII BIOORGANICZNEJ POLSKIEJ AKADEMII NAUK PL (POZNAN) participant 468˙875.00
9    STICHTING WAGENINGEN RESEARCH NL (WAGENINGEN) participant 444˙375.00
10    BIOSENSE INSTITUTE - RESEARCH AND DEVELOPMENT INSTITUTE FOR INFORMATION TECHNOLOGIES IN BIOSYSTEMS RS (NOVI SAD) participant 436˙875.00
11    INTRASOFT INTERNATIONAL SA LU (LUXEMBOURG) participant 428˙312.00
12    CINECA CONSORZIO INTERUNIVERSITARIO IT (CASALECCHIO DI RENO BO) participant 425˙000.00
13    TAMPEREEN KORKEAKOULUSAATIO SR FI (TAMPERE) participant 424˙375.00
14    BULL SAS FR (LES CLAYES SOUS BOIS) participant 419˙411.00
15    GIOUMPITEK MELETI SCHEDIASMOS YLOPOIISI KAI POLISI ERGON PLIROFORIKIS ETAIREIA PERIORISMENIS EFTHYNIS EL (ATHINA) participant 407˙312.00
16    RYAX TECHNOLOGIES FR (SAINT FONS) participant 381˙062.00
17    SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED CY (LIMASSOL) participant 353˙937.00
18    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) participant 338˙125.00
19    ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS EL (THERMI THESSALONIKI) participant 332˙500.00
20    AGROKNOW IKE EL (MAROUSI) participant 322˙000.00
21    GMV AEROSPACE AND DEFENCE SA ES (TRES CANTOS) participant 296˙569.00
22    UNIVERSITY OF PIRAEUS RESEARCH CENTER EL (PIRAEUS) participant 293˙750.00
23    ENGINEERING - INGEGNERIA INFORMATICA SPA IT (ROMA) participant 292˙250.00
24    EXODUS ANONYMOS ETAIREIA PLIROFORIKIS EL (ATHINA) participant 291˙812.00
25    EVENFLOW BE (ETTERBEEK) participant 288˙312.00
26    LEANXCALE SL ES (BRUNETE MADRID) participant 283˙062.00
27    DONAU SOJA GEMEINNUTZIGE GESELLSCHAFT MIT BESCHRANKTER HAFTUNG AT (WIEN) participant 246˙375.00
28    VION FOOD NEDERLAND BV NL (BOXTEL) participant 230˙037.00
29    OLOKLIROMENA PLIROFORIAKA SISTIMATAAE EL (RHODES ISLAND) participant 227˙500.00
30    OPEN GEOSPATIAL CONSORTIUM (EUROPE)LIMITED UK (LONDON) participant 216˙364.00
31    FEDERACION DE COOPERATIVAS AGROALIMENTARES DE LA COMUNIDAD VALENCIANA ES (VALENCIA) participant 195˙100.00
32    TTY-SAATIO FI (TAMPERE) participant 0.00

Map

 Project 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.

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The information about "CYBELE" are provided by the European Opendata Portal: CORDIS opendata.

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