Intelligent Water Distribution Management using IoT

Year : 2026 | Volume : 15 | Issue : 01 | Page : 18 27
    By

    S. Mohana Priya,

  • Prasad Hemant Wagh,

  • Suman Subranmanian Yadav,

  • Ajinkya Sashikant Sable,

  • Dr. Biswajit Gayen,

  1. Lecturer, Department of Computer Technology, Sanjivani K. B. P. Polytechnic, Kopargaon, India
  2. Research Scholar, Department of Computer Technology, Sanjivani K. B. P. Polytechnic, Kopargaon, India
  3. Research Scholar, Department of Computer Technology, Sanjivani K. B. P. Polytechnic, Kopargaon, India
  4. Research Scholar, Department of Computer Technology, Sanjivani K. B. P. Polytechnic, Kopargaon, India
  5. Research Scholar, Department of Computer Technology, Sanjivani K. B. P. Polytechnic, Kopargaon, India

Abstract

Water plays a vital role in agriculture, making its efficient management essential for sustainable crop production. However, undetected leaks in irrigation systems can result in significant water loss, irregular watering of fields, soil degradation, and reduced crop yield. Conventional methods like manual inspection are not only labor-intensive but also ineffective in identifying leaks promptly – emphasizing the need for a smarter and automated approach to water monitoring. To address this issue, an IoT-based water leakage detection system using ESP32, water flow sensors, a buzzer, a display screen, and Telegram notifications is developed to provide real-time monitoring and instant alerts when leaks are detected. The system is built around the ESP32 microcontroller, which has Wi-Fi connectivity, making it ideal for real-time IoT applications. Two water flow sensors are placed at different points along the pipeline to measure flow rates. If the flow rate measured by the downstream sensor is notably less than that of the upstream sensor, it may suggest the presence of a leakage in the pipeline. For example, if Sensor 1 detects 5 LPM (liters per minute) while Sensor 2 detects only 2 LPM, a leakage is suspected. The system then activates an audible alarm (buzzer), displays a warning on the OLED/LCD screen, and sends an instant alert via Telegram. The Telegram bot provides real-time updates, allowing farmers to respond promptly even if they are not physically present at the site. This automated leakage detection system is particularly useful in agriculture, where underground pipes and large irrigation networks make it difficult to detect leaks manually. By incorporating a solenoid valve, the system is capable of automatically stopping water flow when a significant leak is detected, thereby minimizing water loss. The ESP32 continuously processes sensor data, calculates flow rate discrepancies, and ensures that alerts are triggered as soon as abnormalities are detected. One of the key advantages of this system is its cost-effectiveness. Unlike expensive industrial leak detection solutions, this IoT-based approach uses affordable and easily available components – making it ideal for small and large-scale farms. The system is also scalable, meaning additional sensors can be installed to monitor larger irrigation networks, municipal pipelines, and industrial water systems. Municipalities can use this system to reduce non-revenue water (NRW) losses, improving water distribution efficiency. Moreover, the real-time monitoring feature eliminates the need for manual supervision, reducing labor costs and ensuring faster response times. Remote access via Telegram ensures that users stay informed even when they are away from the farm.

Keywords: Buzzer, display screen (OLED/LCD), ESP32, instant alerts, IoT-based water leakage detection system, real-time monitoring, telegram notifications, water flow sensors, Wi-Fi connectivity

[This article belongs to Research and Reviews : Journal of Crop science and Technology ]

How to cite this article:
S. Mohana Priya, Prasad Hemant Wagh, Suman Subranmanian Yadav, Ajinkya Sashikant Sable, Dr. Biswajit Gayen. Intelligent Water Distribution Management using IoT. Research and Reviews : Journal of Crop science and Technology. 2026; 15(01):18-27.
How to cite this URL:
S. Mohana Priya, Prasad Hemant Wagh, Suman Subranmanian Yadav, Ajinkya Sashikant Sable, Dr. Biswajit Gayen. Intelligent Water Distribution Management using IoT. Research and Reviews : Journal of Crop science and Technology. 2026; 15(01):18-27. Available from: https://journals.stmjournals.com/rrjocst/article=2026/view=235672


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Regular Issue Subscription Original Research
Volume 15
Issue 01
Received 08/12/2025
Accepted 17/12/2025
Published 06/01/2026
Publication Time 29 Days
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