Next Article in Journal
A Self-Adaptive 1D Convolutional Neural Network for Flight-State Identification
Next Article in Special Issue
Enabling Virtual AAA Management in SDN-Based IoT Networks
Previous Article in Journal
An Improved Unauthorized Unmanned Aerial Vehicle Detection Algorithm Using Radiofrequency-Based Statistical Fingerprint Analysis
Previous Article in Special Issue
LPWAN-Based Vehicular Monitoring Platform with a Generic IP Network Interface
Article Menu
Issue 2 (January-2) cover image

Export Article

Open AccessArticle
Sensors 2019, 19(2), 276;

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

Center of Mathematics, Computing and Cognition, Federal University of the ABC, Santo André 09210-580, Brazil
VTT Technical Research Centre of Finland, FI-90571 Oulu, Finland
Federal University of Pernambuco & Federal Institute of Pernambuco, Recife 50670-901, Brazil
Department of Agricultural and Food Sciences (DISTAL), University of Bologna, 40127 Bologna, Italy
Advanced Research Center on Electronic Systems “Ercole De Castro” (ARCES), University of Bologna, 40127 Bologna, Italy
Centro Universitário FEI, São Bernardo do Campo 09850-901, Brazil
Brazilian Agricultural Research Corporation (EMBRAPA), São Carlos 13560-970, Brazil
Author to whom correspondence should be addressed.
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.
Received: 30 November 2018 / Revised: 6 January 2019 / Accepted: 7 January 2019 / Published: 11 January 2019
Full-Text   |   PDF [7524 KB, uploaded 11 January 2019]   |  


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

Figure 1

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).

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top