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      Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture †

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          Abstract

          The smart management of freshwater for precision irrigation in agriculture is essential for increasing crop yield and decreasing costs, while contributing to environmental sustainability. The intense use of technologies offers a means for providing the exact amount of water needed by plants. The Internet of Things (IoT) is the natural choice for smart water management applications, even though the integration of different technologies required for making it work seamlessly in practice is still not fully accomplished. The SWAMP project develops an IoT-based smart water management platform for precision irrigation in agriculture with a hands-on approach based on four pilots in Brazil and Europe. This paper presents the SWAMP architecture, platform, and system deployments that highlight the replicability of the platform, and, as scalability is a major concern for IoT applications, it includes a performance analysis of FIWARE components used in the Platform. Results show that it is able to provide adequate performance for the SWAMP pilots, but requires specially designed configurations and the re-engineering of some components to provide higher scalability using less computational resources.

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          Most cited references36

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          A comparative study of LPWAN technologies for large-scale IoT deployment

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            Fog Computing: A Platform for Internet of Things and Analytics

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              IoT in Agriculture: Designing a Europe-Wide Large-Scale Pilot

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                11 January 2019
                January 2019
                : 19
                : 2
                : 276
                Affiliations
                [1 ]Center of Mathematics, Computing and Cognition, Federal University of the ABC, Santo André 09210-580, Brazil
                [2 ]VTT Technical Research Centre of Finland, FI-90571 Oulu, Finland; Juha-Pekka.Soininen@ 123456vtt.fi (J.-P.S.); Markus.Taumberger@ 123456vtt.fi (M.T.)
                [3 ]Federal University of Pernambuco & Federal Institute of Pernambuco, Recife 50670-901, Brazil; rasd@ 123456cin.ufpe.br
                [4 ]Department of Agricultural and Food Sciences (DISTAL), University of Bologna, 40127 Bologna, Italy; attilio.toscano@ 123456unibo.it
                [5 ]Advanced Research Center on Electronic Systems “Ercole De Castro” (ARCES), University of Bologna, 40127 Bologna, Italy; tullio.salmoncinotti@ 123456unibo.it
                [6 ]Centro Universitário FEI, São Bernardo do Campo 09850-901, Brazil; rfilev@ 123456fei.edu.br
                [7 ]Brazilian Agricultural Research Corporation (EMBRAPA), São Carlos 13560-970, Brazil; andre.torre@ 123456embrapa.br
                Author notes
                [* ]Correspondence: cak@ 123456ufabc.edu.br ; Tel.: +55-11-4996-0179
                [†]

                This paper is an extended version of “SWAMP: an IoT-based Smart Water Management Platform for Precision Irrigation in Agriculture” presented at the 2018 Global Internet of Things Summit (GIoTS), Bilbao, Spain, 4–7 June 2018.

                Author information
                https://orcid.org/0000-0002-3087-9234
                https://orcid.org/0000-0002-7255-5318
                https://orcid.org/0000-0002-4735-1647
                https://orcid.org/0000-0001-5477-0623
                https://orcid.org/0000-0002-6877-5254
                https://orcid.org/0000-0003-4870-3429
                Article
                sensors-19-00276
                10.3390/s19020276
                6359213
                30641960
                6c19dfc0-867c-4ab3-bf23-c8f062e5a959
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 November 2018
                : 07 January 2019
                Categories
                Article

                Biomedical engineering
                internet of things,smart water management,smart agriculture,precision irrigation,iot platform,fiware,linked data

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