Smart water management platform: IoT-based precision irrigation for agriculture

Carlos Kamienski, Juha Pekka Soininen, Markus Taumberger, Ramide Dantas, Attilio Toscano, Tullio Salmon Cinotti, Rodrigo Filev Maia, André Torre Neto

    Research output: Contribution to journalArticleScientificpeer-review

    39 Citations (Scopus)

    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.

    Original languageEnglish
    Article number276
    JournalSensors
    Volume19
    Issue number2
    DOIs
    Publication statusPublished - 11 Jan 2019
    MoE publication typeNot Eligible

    Keywords

    • FIWARE
    • Internet of things
    • IoT platform
    • Linked data
    • Precision irrigation
    • Smart agriculture
    • Smart water management

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