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dc.contributor.authorMateo Fornés, Jordi
dc.contributor.authorPagès Bernaus, Adela
dc.contributor.authorPla Aragonés, Lluís Miquel
dc.contributor.authorCastells Gasia, Joan Pau
dc.contributor.authorBabot Gaspa, Daniel
dc.date.accessioned2021-09-14T08:05:42Z
dc.date.available2021-09-14T08:05:42Z
dc.date.issued2021-09-04
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10459.1/71844
dc.description.abstractWith the growing adoption of the Internet of Things (IoT) technology in the agricultural sector, smart devices are becoming more prevalent. The availability of new, timely, and precise data offers a great opportunity to develop advanced analytical models. Therefore, the platform used to deliver new developments to the final user is a key enabler for adopting IoT technology. This work presents a generic design of a software platform based on the cloud and implemented using microservices to facilitate the use of predictive or prescriptive analytics under different IoT scenarios. Several technologies are combined to comply with the essential features¿scalability, portability, interoperability, and usability¿that the platform must consider to assist decision-making in agricultural 4.0 contexts. The platform is prepared to integrate new sensor devices, perform data operations, integrate several data sources, transfer complex statistical model developments seamlessly, and provide a user-friendly graphical interface. The proposed software architecture is implemented with open-source technologies and validated in a smart farming scenario. The growth of a batch of pigs at the fattening stage is estimated from the data provided by a level sensor installed in the silo that stores the feed from which the animals are fed. With this application, we demonstrate how farmers can monitor the weight distribution and receive alarms when high deviations happen.
dc.description.sponsorshipThis research was partially supported by the Intelligent Energy Europe (IEE) program and the Ministerio de Economía y Competitividad under contract TIN2017-84553-C2-2-R, by the European Union FEDER (CAPAP-H6 network TIN2016-81840-REDT) and the demonstration activity financed by the Operation 01.02.01 of Technological Transfer from the Program of Rural Development in Catalunya 2014–2020 cofinanced by DARP and FEDER.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherMDPI
dc.relationMINECO/PN2013-2016/TIN2017-84553-C2-2-R
dc.relationMINECO/PN2013-2016/TIN2016-81840-REDT
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3390/s21175949
dc.relation.ispartofSensors, 2021, vol. 21, núm. 17, 5949
dc.rightscc-by (c) Mateo Fornés, Jordi et al., 2021
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es
dc.subjectSensors
dc.subjectInternet of Things
dc.subjectMicroservices architecture
dc.subjectCloud computing
dc.subjectPrecision livestock farming
dc.titleAn Internet of Things Platform Based on Microservices and Cloud Paradigms for Livestock
dc.typeinfo:eu-repo/semantics/article
dc.date.updated2021-09-14T08:05:42Z
dc.identifier.idgrec031559
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.3390/s21175949


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cc-by (c) Mateo Fornés, Jordi et al., 2021
Except where otherwise noted, this item's license is described as cc-by (c) Mateo Fornés, Jordi et al., 2021