AI-IoT Based Smart Water Management System for Smart City and Rural Development

Smart water distribution and management systems help to conserve scarce water resources. Advanced technologies, such as IoT and AI, can improve system performance and sustainability, paving the way for effective water resource management. To increase water efficiency and sustainability in smart cities and rural areas, this study proposes an AI-IoT-based Smart Water Management system. IoT sensors monitor water quality, circulation, pressure, and levels in sources, dams, and distribution networks in real time to send data to a cloud infrastructure. AI predicts water consumption, detects leaks and contaminants, and optimizes resource distribution based on real-time data and the climate. Using soil moisture monitors and AI algorithms, rural irrigation can save water. Stakeholders may report issues, receive alerts, and increase community participation via simple mobile applications and dashboards. Water efficiency, waste reduction, and water quality are improved, while rural farmers receive smart irrigation technologies to boost agricultural yield. An innovative method, but expensive for implementation, security of data, and remote network stability must be considered. This Smart Water Management System encourages urban and rural growth as well as water sustainability.

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Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/icetea64585.2025.11100005
Citations
2
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
1.63
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article

AI-IoT Based Smart Water Management System for Smart City and Rural Development

P Chittesh, P. Sathiyapriya
2 citations
Water Quality Monitoring Technologies
1.63
article

AI-IoT Based Smart Water Management System for Smart City and Rural Development

P Chittesh, P. Sathiyapriya
article en
2 citations

Abstract

Smart water distribution and management systems help to conserve scarce water resources. Advanced technologies, such as IoT and AI, can improve system performance and sustainability, paving the way for effective water resource management. To increase water efficiency and sustainability in smart cities and rural areas, this study proposes an AI-IoT-based Smart Water Management system. IoT sensors monitor water quality, circulation, pressure, and levels in sources, dams, and distribution networks in real time to send data to a cloud infrastructure. AI predicts water consumption, detects leaks and contaminants, and optimizes resource distribution based on real-time data and the climate. Using soil moisture monitors and AI algorithms, rural irrigation can save water. Stakeholders may report issues, receive alerts, and increase community participation via simple mobile applications and dashboards. Water efficiency, waste reduction, and water quality are improved, while rural farmers receive smart irrigation technologies to boost agricultural yield. An innovative method, but expensive for implementation, security of data, and remote network stability must be considered. This Smart Water Management System encourages urban and rural growth as well as water sustainability.

Karpagam Academy of Higher Education (IN)
Openalex Percentile: Top 15%
Water Quality Monitoring Technologies
1.63
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AI-IoT Based Smart Water Management System for Smart City and Rural Development — P Chittesh, P. Sathiyapriya · (2025) | TGRS Research Map | TGRS