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Sensors 2019, 19(2), 276; https://doi.org/10.3390/s19020276

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

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
3
Federal University of Pernambuco & Federal Institute of Pernambuco, Recife 50670-901, Brazil
4
Department of Agricultural and Food Sciences (DISTAL), University of Bologna, 40127 Bologna, Italy
5
Advanced Research Center on Electronic Systems “Ercole De Castro” (ARCES), University of Bologna, 40127 Bologna, Italy
6
Centro Universitário FEI, São Bernardo do Campo 09850-901, Brazil
7
Brazilian Agricultural Research Corporation (EMBRAPA), São Carlos 13560-970, Brazil
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 to whom correspondence should be addressed.
Received: 30 November 2018 / Revised: 6 January 2019 / Accepted: 7 January 2019 / Published: 11 January 2019
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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. View Full-Text
Keywords: Internet of Things; smart water management; smart agriculture; precision irrigation; IoT platform; FIWARE; linked data Internet of Things; smart water management; smart agriculture; precision irrigation; IoT platform; FIWARE; linked data
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Kamienski, C.; Soininen, J.-P.; Taumberger, M.; Dantas, R.; Toscano, A.; Salmon Cinotti, T.; Filev Maia, R.; Torre Neto, A. Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture. Sensors 2019, 19, 276.

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