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dc.contributorSolsona Tehàs, Francesc
dc.contributorMateo, Jordi
dc.contributorUniversitat de Lleida. Escola Politècnica Superior
dc.contributor.authorFlorensa Cazorla, Dídac
dc.date.accessioned2017-09-27T10:19:28Z
dc.date.available2017-09-27T10:19:28Z
dc.date.issued2017-09
dc.identifier.urihttp://hdl.handle.net/10459.1/60264
dc.description.abstractOptimization models are being more used to tackle agro-business prob- lems. This way, cloud computing, machine learning, big data, internet of things and optimization are key factors in the innovation of the sector. This paper proposes a cloud architecture to suggest a ranking of candidate sows to be replaced and a set of tools to help the farmers to make better strategic, tactical and operational decisions related with the structure of the sow farms. The cloud architecture automatizes the process to obtain the results, making the process transparent to the farmer. This work extends the advantages of optimization models with the potential of cloud computing. The results shows that the cloud architecture proposed helps decisions makers in real pig farms to make a better planning by obtaining the competitive advantages of using the proposed model in a usable, exible and simple way.ca_ES
dc.format.extent24 p.ca_ES
dc.language.isoengca_ES
dc.rightscc-by-nc-ndca_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSAASca_ES
dc.subjectDSSca_ES
dc.subjectCloud computingca_ES
dc.subjectOptimization modelsca_ES
dc.subjectAgrobusinessca_ES
dc.subject.otherComputació en núvolca_ES
dc.titleA cloud decision support system for sow farmsca_ES
dc.typebachelorThesisca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.date.embargoEndDate2020-03-30


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