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dc.contributorMateo Fornés, Jordi
dc.contributorPagès Bernaus, Adela
dc.contributorUniversitat de Lleida. Escola Politècnica Superior
dc.contributor.authorCastells Gasia, Joan Pau
dc.description.abstractA wide variety of low-cost sensors that describe different environmental variables are currently available for all sectors. However, more value can be derived from these data by combining it with models and other sources of information. To support these sectors in adapting this technology, this work presents a general cloud architecture that is able to integrate any type of sensor, detect and correct possible sensor errors, obtain information from other sources, incorporate models that generate value from the collected data, provide user-friendly graphical interfaces to interact with complex system processes, authentication and user roles mechanisms, and technologies that make easier to adapt the architecture to different environments. Moreover this architecture is applied in a livestock scenario in order to assist in farmer decisions.ca_ES
dc.format.extent25 p.ca_ES
dc.subjectBig dataca_ES
dc.subjectInternet of Thingsca_ES
dc.subjectMicroservices Architectureca_ES
dc.subjectCloud Computingca_ES
dc.subjectPrecision Livestock Farmingca_ES
dc.subjectIndustry 4.0ca_ES
dc.subject.otherInternet de les cosesca_ES
dc.subject.otherBig dataca_ES
dc.titleDesign and implementation of an architecture to assist decision making in livestock 4.0ca_ES

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