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dc.contributor.authorCastillejo, Pedro
dc.contributor.authorJohansen, Gorm Idar
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.accessioned2023-08-16T13:42:16Z
dc.date.available2023-08-16T13:42:16Z
dc.date.created2021-02-21T13:29:28Z
dc.date.issued2020
dc.identifier.citationMicroprocessors and microsystems. 2020, 78, 103218.en_US
dc.identifier.issn0141-9331
dc.identifier.urihttps://hdl.handle.net/11250/3084440
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_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAggregate Farming in the Cloud: The AFarCloud ECSEL projecten_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2020 The Author(s). Published by Elsevier B.V.en_US
dc.source.volume78en_US
dc.source.journalMicroprocessors and microsystemsen_US
dc.identifier.doi10.1016/j.micpro.2020.103218
dc.identifier.cristin1892093
dc.source.articlenumber103218en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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