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

Sensors

Attilio Toscano¹  Rodrigo Filev Maia²  Carlos Kamienski³  André Torre Neto⁴  Tullio Salmon Cinotti⁵  Ramide Dantas⁶  Juha-Pekka Soininen⁷  Markus Taumberger⁷ 

[1] Federal Institute of Pernambuco, Recife 50670-901, Brazil;Advanced Research Center on Electronic Systems “Ercole De Castro” (ARCES), University of Bologna, 40127 Bologna, Italy;Center of Mathematics, Computing and Cognition, Federal University of the ABC, Santo André 09210-580, Brazil;Centro Universitário FEI, São Bernardo do Campo 09850-901, Brazil;Department of Agricultural and Food Sciences (DISTAL), University of Bologna, 40127 Bologna, Italy;;Federal University of Pernambuco &VTT Technical Research Centre of Finland, FI-90571 Oulu, Finland;

关键词: Internet of Things;    smart water management;    smart agriculture;    precision irrigation;    IoT platform;    FIWARE;    linked data;   

DOI  :  10.3390/s19020276

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown