Aggregate Farming in the Cloud: The AFarCloud ECSEL project: The AFarCloud ECSEL project

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dc.contributor.authorCastillejo, Pedro
dc.contributor.authorJohansen, Gorm
dc.contributor.authorCürüklü, Baran
dc.contributor.authorBilbao-Arechabala, Sonia
dc.contributor.authorFresco, Roberto
dc.contributor.authorMartinez-Rodriguez, Belen
dc.contributor.authorPomante, Luigi
dc.contributor.authorRusu, Cristina
dc.contributor.authorMartínez-Ortega, José-Fernán
dc.contributor.authorCentofanti, Carlo
dc.contributor.authorHakojärvi, Mikko
dc.contributor.authorSantic, Marco
dc.contributor.authorHäggman, Johanna
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionBIGDATA
dc.date.issued2020-10
dc.descriptionPublisher Copyright: © 2020 The Author(s)
dc.description.abstractFarming is facing many economic challenges in terms of productivity and cost-effectiveness. Labor shortage partly due to depopulation of rural areas, especially in Europe, is another challenge. Domain specific problems such as accurate monitoring of soil and crop properties and animal health are key factors for minimizing economical risks, and not risking human health. The ECSEL AFarCloud (Aggregate Farming in the Cloud) project will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture Cyber Physical Systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labor costs. Moreover, such a platform can be integrated with farm management software to support monitoring and decision-making solutions based on big data and real-time data mining techniques.en
dc.description.statusPeer reviewed
dc.format.extent1
dc.format.extent10737192
dc.identifier.citationCastillejo , P , Johansen , G , Cürüklü , B , Bilbao-Arechabala , S , Fresco , R , Martinez-Rodriguez , B , Pomante , L , Rusu , C , Martínez-Ortega , J-F , Centofanti , C , Hakojärvi , M , Santic , M & Häggman , J 2020 , ' Aggregate Farming in the Cloud: The AFarCloud ECSEL project : The AFarCloud ECSEL project ' , Microprocessors and Microsystems , vol. 78 , 103218 , pp. 103218 . https://doi.org/10.1016/j.micpro.2020.103218
dc.identifier.doi10.1016/j.micpro.2020.103218
dc.identifier.issn0141-9331
dc.identifier.otherresearchoutputwizard: 11556/962
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85089063670&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofMicroprocessors and Microsystems
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsCyber-physical systems
dc.subject.keywordsSmart & precision farming
dc.subject.keywordsLivestock management
dc.subject.keywordsCrop monitoring
dc.subject.keywordsAutonomy and cooperation
dc.subject.keywordsAutonomous and semi-autonomous vehicles
dc.subject.keywordsFarming robots
dc.subject.keywordsCyber-physical systems
dc.subject.keywordsSmart & precision farming
dc.subject.keywordsLivestock management
dc.subject.keywordsCrop monitoring
dc.subject.keywordsAutonomy and cooperation
dc.subject.keywordsAutonomous and semi-autonomous vehicles
dc.subject.keywordsFarming robots
dc.subject.keywordsSoftware
dc.subject.keywordsHardware and Architecture
dc.subject.keywordsComputer Networks and Communications
dc.subject.keywordsArtificial Intelligence
dc.subject.keywordsSDG 2 - Zero Hunger
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/783221/EU/Aggregate Farming in the Cloud/AFarCloud
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/783221/EU/Aggregate Farming in the Cloud/AFarCloud
dc.subject.keywordsFunding Info
dc.subject.keywordsA special thanks to all the AFarCloud consortium people that have worked on the AFarCloud proposal on which this paper is based on. The AFarCloud project is funded from the ECSEL Joint Undertaking under grant agreement n◦783221, and from several National funding agencies. It is worth noting some ECSEL projects that have provided background and/or reusable results taken into account in AFarCloud: MegaM@rt2 [34], SafeCOP [35], and AQUAS [36].
dc.subject.keywordsA special thanks to all the AFarCloud consortium people that have worked on the AFarCloud proposal on which this paper is based on. The AFarCloud project is funded from the ECSEL Joint Undertaking under grant agreement n◦783221, and from several National funding agencies. It is worth noting some ECSEL projects that have provided background and/or reusable results taken into account in AFarCloud: MegaM@rt2 [34], SafeCOP [35], and AQUAS [36].
dc.titleAggregate Farming in the Cloud: The AFarCloud ECSEL project: The AFarCloud ECSEL projecten
dc.typejournal article
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