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

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 Int...

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Main Authors: Carlos Kamienski, Juha-Pekka Soininen, Markus Taumberger, Ramide Dantas, Attilio Toscano, Tullio Salmon Cinotti, Rodrigo Filev Maia, André Torre Neto
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/19/2/276
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author Carlos Kamienski
Juha-Pekka Soininen
Markus Taumberger
Ramide Dantas
Attilio Toscano
Tullio Salmon Cinotti
Rodrigo Filev Maia
André Torre Neto
author_facet Carlos Kamienski
Juha-Pekka Soininen
Markus Taumberger
Ramide Dantas
Attilio Toscano
Tullio Salmon Cinotti
Rodrigo Filev Maia
André Torre Neto
author_sort Carlos Kamienski
collection DOAJ
description 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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spelling doaj.art-cbea39c4f47b4b09815f22163525a75d2022-12-22T02:14:58ZengMDPI AGSensors1424-82202019-01-0119227610.3390/s19020276s19020276Smart Water Management Platform: IoT-Based Precision Irrigation for AgricultureCarlos Kamienski0Juha-Pekka Soininen1Markus Taumberger2Ramide Dantas3Attilio Toscano4Tullio Salmon Cinotti5Rodrigo Filev Maia6André Torre Neto7Center of Mathematics, Computing and Cognition, Federal University of the ABC, Santo André 09210-580, BrazilVTT Technical Research Centre of Finland, FI-90571 Oulu, FinlandVTT Technical Research Centre of Finland, FI-90571 Oulu, FinlandFederal University of Pernambuco & Federal Institute of Pernambuco, Recife 50670-901, BrazilDepartment of Agricultural and Food Sciences (DISTAL), University of Bologna, 40127 Bologna, ItalyAdvanced Research Center on Electronic Systems “Ercole De Castro” (ARCES), University of Bologna, 40127 Bologna, ItalyCentro Universitário FEI, São Bernardo do Campo 09850-901, BrazilBrazilian Agricultural Research Corporation (EMBRAPA), São Carlos 13560-970, BrazilThe 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.http://www.mdpi.com/1424-8220/19/2/276Internet of Thingssmart water managementsmart agricultureprecision irrigationIoT platformFIWARElinked data
spellingShingle Carlos Kamienski
Juha-Pekka Soininen
Markus Taumberger
Ramide Dantas
Attilio Toscano
Tullio Salmon Cinotti
Rodrigo Filev Maia
André Torre Neto
Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture
Sensors
Internet of Things
smart water management
smart agriculture
precision irrigation
IoT platform
FIWARE
linked data
title Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture
title_full Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture
title_fullStr Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture
title_full_unstemmed Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture
title_short Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture
title_sort smart water management platform iot based precision irrigation for agriculture
topic Internet of Things
smart water management
smart agriculture
precision irrigation
IoT platform
FIWARE
linked data
url http://www.mdpi.com/1424-8220/19/2/276
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