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IoT-based water monitoring systems: a systematic review

Zulkifli, Che Zalina and Garfan, Salem Abullah and Talal, Mohammed and Alamoodi, A. H. and Alamleh, Amneh and Ahmaro, Ibraheem Y. Y and Sulaiman, Suliana and Ibrahim, Abu Bakar and Zaidan, B. B. and Ismail, Amelia Ritahani and Albahri, Osamah Shihab and Albahri, Ahmed Shihab Ahmed and Chin, Fhong Soon and Harun, Nor Hazlyna and Ho, Hong Chiang (2022) IoT-based water monitoring systems: a systematic review. Water, 14 (22). pp. 1-29. E-ISSN 2073-4441

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Water quality monitoring plays a significant part in the transition towards intelligent and smart agriculture and provides an easy transition to automated monitoring of crucial components of human daily needs as new technologies are continuously developed and adopted in agricultural and human daily life (water). For the monitoring and management of water quality, this effort, however, requires reliable models with accurate and thorough datasets. Analyzing water quality monitoring models by utilizing sensors that gather water properties during live experiments is possible due to the necessity for precision in modeling. To convey numerous conclusions regarding the concerns, issues, difficulties, and research gaps that have existed throughout the past five years (2018–2022), this review article thoroughly examines the water quality literature. To find trustworthy peer-reviewed publications, several digital databases were searched and examined, including IEEE Xplore®, ScienceDirect, Scopus, and Web of Science. Only 50 articles out of the 946 papers obtained, were used in the study of the water quality monitoring research area. There are more rules for article inclusion in the second stage of the filtration process. Utilizing a real-time data acquisition system, the criteria for inclusion for the second phase of filtration looked at the implementation of water quality monitoring and characterization procedures. Reviews and experimental studies comprised most of the articles, which were divided into three categories. To organize the literature into articles with similar types of experimental conditions, a taxonomy of the three literature was created. Topics for recommendations are also provided to facilitate and speed up the pace of advancement in this field of study. By conducting a thorough analysis of the earlier suggested methodologies, research gaps are made clear. The investigation largely pointed out the problems in the accuracy of the models, the development of data-gathering systems, and the types of data used in the proposed frameworks. Finally, by examining critical topics required for the development of this research area, research directions toward smart water quality are presented.

Item Type: Article (Review)
Uncontrolled Keywords: water quality monitoring; internet of things; systematic review
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Amelia Ritahani Ismail
Date Deposited: 22 Nov 2022 11:42
Last Modified: 20 Feb 2023 11:29
URI: http://irep.iium.edu.my/id/eprint/101345

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