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Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/73707
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Campo DCValorIdioma
dc.contributor.authorViegas, Vítor-
dc.contributor.authorPereira, J. M. Dias-
dc.contributor.authorGirão, Pedro-
dc.contributor.authorPostolache, Octavian-
dc.contributor.authorSalgado, Ricardo-
dc.date.accessioned2019-06-25T23:04:24Z-
dc.date.available2019-06-25T23:04:24Z-
dc.date.issued2018-11-15-
dc.identifier.citationViegas, V., Pereira, J. M. D., Girão, P., Postolache, O., & Salgado, R. (2018). IoT applied to Environmental Monitoring in Oysters' Farms. In 2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018 Article 8538136 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISSI.2018.8538136-
dc.identifier.isbn9781538656389-
dc.identifier.otherPURE: 13708453-
dc.identifier.otherPURE UUID: 6819c4ea-a72c-4016-bb75-3afedfaf9602-
dc.identifier.otherScopus: 85059405179-
dc.identifier.otherWOS: 000455007000023-
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85059405179&partnerID=8YFLogxK-
dc.descriptionThe authors acknowledge to the project "OSTRAQUAL Enhancing and promoting the oyster aquaculture quality in Sado and Mira region", ref. 023838/SAICT/02/2016, for the financial support given by POR Lisboa, POR Alentejo 2020 and POR CRESC Algarve 2020 under FEDER, and by Fundacao para a Ciencia e Tecnologia.-
dc.description.abstractNowadays, the aquaculture of oysters represents an important economical activity in coastal and estuarine areas. It is known that the growth rate of oysters is affected by several water parameters, including temperature, salinity, turbidity, pH and dissolved oxygen. In this paper, a cloud-based platform is proposed to acquire water parameters that affect oysters' growth. The paper includes the hardware and software description of the measurement system, details about the storage and processing of the acquired data, and some experimental results about the above-mentioned parameters.en
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)-
dc.rightsopenAccess-
dc.subjectcloud storage-
dc.subjectenvironmental monitoring-
dc.subjectIoT-
dc.subjectoyster aquaculture-
dc.subjecttelemetry-
dc.subjectInstrumentation-
dc.subjectComputer Vision and Pattern Recognition-
dc.subjectComputer Networks and Communications-
dc.subjectComputer Science Applications-
dc.titleIoT applied to Environmental Monitoring in Oysters' Farms-
dc.typeconferenceObject-
degois.publication.title2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018-
degois.publication.title2018 International Symposium in Sensing and Instrumentation in IoT Era, ISSI 2018-
dc.peerreviewedyes-
dc.identifier.doihttps://doi.org/10.1109/ISSI.2018.8538136-
dc.description.versionauthorsversion-
dc.description.versionpublished-
dc.contributor.institutionDQ - Departamento de Química-
dc.contributor.institutionLAQV@REQUIMTE-
Aparece nas colecções:FCT: DQ - Documentos de conferências internacionais

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