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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.authorMartínez-Rodríguez, Belén
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.date.accessioned2020-08-26T08:58:13Z
dc.date.available2020-08-26T08:58:13Z
dc.date.issued2020-10
dc.identifier.citationCastillejo, Pedro, Gorm Johansen, Baran Cürüklü, Sonia Bilbao-Arechabala, Roberto Fresco, Belén Martínez-Rodríguez, Luigi Pomante, et al. “Aggregate Farming in the Cloud: The AFarCloud ECSEL Project.” Microprocessors and Microsystems 78 (October 2020): 103218. doi:10.1016/j.micpro.2020.103218.en
dc.identifier.issn0141-9331en
dc.identifier.urihttp://hdl.handle.net/11556/962
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.sponsorshipA 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].en
dc.language.isoengen
dc.publisherElsevier B.V.en
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleAggregate Farming in the Cloud: The AFarCloud ECSEL projecten
dc.typearticleen
dc.identifier.doi10.1016/j.micpro.2020.103218en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/783221/EU/Aggregate Farming in the Cloud/AFarClouden
dc.rights.accessRightsopenAccessen
dc.subject.keywordsCyber-physical systemsen
dc.subject.keywordsSmart & precision farmingen
dc.subject.keywordsLivestock managementen
dc.subject.keywordsCrop monitoringen
dc.subject.keywordsAutonomy and cooperationen
dc.subject.keywordsAutonomous and semi-autonomous vehiclesen
dc.subject.keywordsFarming robotsen
dc.journal.titleMicroprocessors and Microsystemsen
dc.page.initial103218en
dc.volume.number78en


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