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

6 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

Fingerprint

water management
irrigation
agriculture
Water management
Agriculture
Irrigation
Internet
platforms
Scalability
Water
Technology
Fresh Water
Crops
Brazil
Sustainable development
crops
Costs and Cost Analysis
resources
engineering
costs

Keywords

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

Cite this

Kamienski, Carlos ; Soininen, Juha Pekka ; Taumberger, Markus ; Dantas, Ramide ; Toscano, Attilio ; Cinotti, Tullio Salmon ; Maia, Rodrigo Filev ; Neto, André Torre. / Smart water management platform : IoT-based precision irrigation for agriculture. In: Sensors. 2019 ; Vol. 19, No. 2.
@article{f9af59e3e7c64e7aafbd758a85b328ab,
title = "Smart water management platform: IoT-based precision irrigation for agriculture",
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.",
keywords = "FIWARE, Internet of things, IoT platform, Linked data, Precision irrigation, Smart agriculture, Smart water management",
author = "Carlos Kamienski and Soininen, {Juha Pekka} and Markus Taumberger and Ramide Dantas and Attilio Toscano and Cinotti, {Tullio Salmon} and Maia, {Rodrigo Filev} and Neto, {Andr{\'e} Torre}",
year = "2019",
month = "1",
day = "11",
doi = "10.3390/s19020276",
language = "English",
volume = "19",
journal = "Sensors",
issn = "1424-8220",
publisher = "MDPI",
number = "2",

}

Kamienski, C, Soininen, JP, Taumberger, M, Dantas, R, Toscano, A, Cinotti, TS, Maia, RF & Neto, AT 2019, 'Smart water management platform: IoT-based precision irrigation for agriculture', Sensors, vol. 19, no. 2, 276. https://doi.org/10.3390/s19020276

Smart water management platform : IoT-based precision irrigation for agriculture. / Kamienski, Carlos; Soininen, Juha Pekka; Taumberger, Markus; Dantas, Ramide; Toscano, Attilio; Cinotti, Tullio Salmon; Maia, Rodrigo Filev; Neto, André Torre.

In: Sensors, Vol. 19, No. 2, 276, 11.01.2019.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Smart water management platform

T2 - IoT-based precision irrigation for agriculture

AU - Kamienski, Carlos

AU - Soininen, Juha Pekka

AU - Taumberger, Markus

AU - Dantas, Ramide

AU - Toscano, Attilio

AU - Cinotti, Tullio Salmon

AU - Maia, Rodrigo Filev

AU - Neto, André Torre

PY - 2019/1/11

Y1 - 2019/1/11

N2 - 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.

AB - 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.

KW - FIWARE

KW - Internet of things

KW - IoT platform

KW - Linked data

KW - Precision irrigation

KW - Smart agriculture

KW - Smart water management

UR - http://www.scopus.com/inward/record.url?scp=85060015568&partnerID=8YFLogxK

U2 - 10.3390/s19020276

DO - 10.3390/s19020276

M3 - Article

VL - 19

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 2

M1 - 276

ER -