Monsoon Meter: Smart Water Management and Prediction Using IoT and Data Analytics

Abstract: Water scarcity and inefficient usage present critical challenges in modern society, especially in regions with unpredictable rainfall patterns. "Monsoon Meter" is a smart water monitoring and prediction system designed to address these issues using a combination of IoT sensors, weather data analysis, and data science techniques. The system collects real-time environmental parameters such as humidity, temperature, soil moisture, and rainfall predictions to optimize water usage in agricultural and urban settings. This paper explores the implementation of predictive analytics, anomaly detection, and alert mechanisms for effective water resource management. The proposed solution not only supports sustainable water use but also empowers users with actionable insights and automated control, paving the way for smarter ecosystems.

Authors

Publication Details

Journal
International Scientific Journal of Engineering and Management
Published
2025-06-08
DOI
https://doi.org/10.55041/isjem04341
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
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article

Monsoon Meter: Smart Water Management and Prediction Using IoT and Data Analytics

Lanke Aniket Shankar
1 links
International Scientific Journal of Engineering and Management
Water Systems and Optimization
article

Monsoon Meter: Smart Water Management and Prediction Using IoT and Data Analytics

Lanke Aniket Shankar
article en

Abstract

Abstract: Water scarcity and inefficient usage present critical challenges in modern society, especially in regions with unpredictable rainfall patterns. "Monsoon Meter" is a smart water monitoring and prediction system designed to address these issues using a combination of IoT sensors, weather data analysis, and data science techniques. The system collects real-time environmental parameters such as humidity, temperature, soil moisture, and rainfall predictions to optimize water usage in agricultural and urban settings. This paper explores the implementation of predictive analytics, anomaly detection, and alert mechanisms for effective water resource management. The proposed solution not only supports sustainable water use but also empowers users with actionable insights and automated control, paving the way for smarter ecosystems.

International Scientific Journal of Engineering and ManagementVol. 04(06)
Openalex Percentile: Top 86%
Water Systems and Optimization
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