IoT Based Real-Time Measuring and Monitoring System for Irrigation Canals

Authors

  • Aiswarya Das T.H.
  • Devna T Surendran
  • Amal Krishna P.U
  • Aqueena Wilson
  • Sowmya V Krishnankutty
  • Anu Roy

DOI:

https://doi.org/10.61779/jasetm.v3i2.1

Keywords:

IoT, Discharge, Irrigation Canal, ESP32, Flow Tracker

Abstract

Efficient water resource management is vital for sustainable agriculture, particularly in the operation of irrigation canals. This project introduces an Internet of Things (IoT)-based system designed to provide real-time data on water discharge within these canals, aiming to enhance distribution efficiency and minimize wastage. The system features a user-friendly mobile application, Flow Tracker, which offers real-time visualization of water levels and discharge rates, empowering users to make informed decisions promptly. To accommodate diverse operational environments, the system supports multiple power input options, including DC power input, rechargeable lithium batteries, and ESP module charging. Field tests have demonstrated the system’s accuracy and reliability across various environmental conditions. By integrating IoT technology with real-time data analytics and intuitive interfaces, this system represents a significant advancement over traditional discharge measurement methods, addressing common challenges in irrigation management and promoting the sustainable use of water resources.

References

Chowdury, M. S. U., Emran, T. B., Ghosh, S., Pathak, A., Alam, M. M., Absar, N., Andersson, K., & Hossain, M. S. (2019). IoT based real-time river water quality monitoring system. Procedia Computer Science, 155, 161–168.

Pool, S., & Seibert, J. (2021). Gauging ungauged catchments–Active learning for the timing of point discharge observations in combination with continuous water level measurements. Journal of Hydrology, 598, 126448.

Daconte, A., Sierra, M., Noguera, J., & Rodriguez, N. (2024). Preliminary results of an IoTbased prototype monitoring system for physicochemical parameters and water level in an aquifer: Case of Santa Marta, Colombia. Procedia Computer Science, 231, 478–483.

Supriya, K. E. (2020). IoT based real-time water level monitoring using Texas instruments’ CC3200. Indian Journal of Science and Technology, 13(17), 1720–1729.

Blanco-Gómez, P., Mateu-Belloch, A., Jiménez-García, J. L., Salas Cantarellas, A. J., Pieras Company, J. J., & SantamaríaCasals, E. (2024). Real-time ultrasonic water level IoT sensor for in-situ soil permeability testing. HardwareX, 19, e00541.

Kato, A., Sinde, R., & The Nelson Mandela African Institute of Science and Technology. (2015). Design of an automated river water level monitoring system by using Global System for Mobile Communications. International Journal of Computer Science and System Analysis..

S. B. Rana et al., “Evaluation of Water Level in Flowing Channels Using Ultrasonic Sensors with Turbulence Consideration,” Sustainability, vol. 14, no. 9, p. 5512, May 2022.

N. F. Wulandari, “IoT-Enabled Smart Drip Irrigation System Using ESP32 and Blynk,” Electronics, vol. 4, no. 3, p. 12, Mar. 2023.

X. Li, H. Chen, and Y. Zhao, “LoRa-Based Smart Agriculture Monitoring and Automatic Irrigation System,” Journal of Agricultural Science and Technology, vol. 18, pp. 45–58, Jan. 2024.

Kumar, A.K., Sarangi, A., Singh, D.K., Dash, S. and Mani, I., 2023. Evaluation of ultrasonic sensor for flow measurement in open channel. Journal of Scientific & Industrial Research (JSIR), 82(10), pp.1091-1099.

Published

16-08-2025

How to Cite

Aiswarya Das T.H., Surendran, D. T. ., Amal Krishna P.U, Aqueena Wilson, Sowmya V Krishnankutty, & Anu Roy. (2025). IoT Based Real-Time Measuring and Monitoring System for Irrigation Canals. Journal of Applied Science, Engineering, Technology and Management, 3(2), 07–14. https://doi.org/10.61779/jasetm.v3i2.1

Issue

Vol. 3 No. 2 (2025): Journal of Applied Science, Engineering, Technology and Management

Section

Articles

License

Copyright (c) 2025 Aiswarya Das T.H. , aiswaryadas613@gmail.com, Amal Krishna P.U , Aqueena Wilson, Sowmya V Krishnankutty , Anu Roy

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after the acceptance, with an acknowledgement of its initial publication in this journal, as it can lead to productive exchanges, as well as earlier and greater citation of published work.