Review On Ai And Iot Based Integrated Smart Water Management And Distribution System

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Mrs.Vasifa S.Kotwal
Dr. Sangram Pati
Dr. Jaydeep Patil

Abstract

Smart water management and distribution systems are instrumental in optimizing the responsible use of our finite water resources. The integration of advanced technologies like IoT and AI offers substantial potential to enhance the overall performance and sustainability of these systems, marking a pivotal step toward efficient water resource management. The deployment of an IoT-driven water distribution and management framework offers several distinct advantages, including heightened equipment efficiency, heightened transparency across all operational prsocesses, heightened sustainability and efficiency levels, real-time monitoring capabilities coupled with comprehensive data collection, and the ability to predict maintenance requirements. This strategic amalgamation of IoT and AI in the realm of smart water management is substantiated by a corpus of scholarly works encompassing IoT-based smart water management systems [1][3] and AI-driven smart water management systems, which collectively underscore the transformative potential of these technologies within the water sector. Moreover, empirical evidence derived from case studies and practical implementations of AI and IoT-based smart water management systems [4][5][6] serves as a testament to their effectiveness in elevating water management and distribution practices. In summation, the incorporation of IoT technologies into smart water management represents a sustainable approach to optimizing water resource utilization, fostering superior water quality, and mitigating the specter of water scarcity.


              

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How to Cite
Mrs.Vasifa S.Kotwal, Dr. Sangram Pati, & Dr. Jaydeep Patil. (2024). Review On Ai And Iot Based Integrated Smart Water Management And Distribution System. Educational Administration: Theory and Practice, 30(4), 594–605. https://doi.org/10.53555/kuey.v30i4.1507
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Author Biographies

Mrs.Vasifa S.Kotwal

Ph.D. Scholar, Department of Computer Science and Engineering, D.Y.Patil Agriculture & Technical University,Talasande, Kolhapur, India  

Dr. Sangram Pati

Associate Professor, Department of Computer Science, D Y Patil Agriculture and Technical University, Talasande India.  

Dr. Jaydeep Patil

Associate Professor, Department of Computer Science, D Y Patil Agriculture and Technical University, Talasande, India.