Journal of ISMAC
IRO Journals
Volume 7 — Issue 3 — September 2025

IoT-Enabled Portable Water Quality Monitoring System

https://doi.org/10.36548/jismac.2025.3.003
Pages: 278-292
PDF
Sumit Singha Chowdhury
Department of Master of Computer Applications, Acharya Institute of Technology
Champaka K. R.
Department of Master of Computer Applications, Acharya Institute of Technology
Ramesh Adiga K.
Department of Master of Computer Applications, Acharya Institute of Technology
PDF

How to Cite

Chowdhury, Sumit Singha, Champaka K. R., and Ramesh Adiga K. 2025. “IoT-Enabled Portable Water Quality Monitoring System”. Journal of ISMAC 7 (3): 278-92. https://doi.org/10.36548/jismac.2025.3.003.
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Keywords

— Arduino UNO
— Drinking Water Safety
— pH Sensor
— TDS Sensor
— Turbidity Sensor
— DS18B20 Temperature Sensor
— Portable Water Analysis
Published: 05-08-2025

Abstract

Clean and safe drinking water is what we all depend on every day. With so many varieties of bottled water available stored in plastic, glass, copper, or even steel containers it's hard to tell whether the drinking water is safe. Most people have no idea that the type of bottle and storing it will actually determine water quality. For example, plastic bottles, when exposed to heat, are able to contaminate water with toxic chemicals, and prolonged use can lead to health issues. Copper bottles are widely utilized because of their health benefits, but if water stays in them for a long time, they are able to alter water pH and cause copper leaching. Glass bottles are normally safe but can easily get contaminated if not properly cleaned. To help people understand what they are drinking better, we developed a smart water quality tester using an Arduino UNO. It uses four sensors pH, TDS (Total Dissolved Solids), turbidity, and temperature to check if the water is clean and safe. Whether it is bottled mineral water, boiling tap water, or rainwater, this tester can analyze them all. The sensor readings are shown in real-time on a web dashboard. It's a simple and affordable method for testing water in our home, stores in shopping malls, or even in water bottling plants. This project aims to make individuals more aware of what is in their water and how the bottles they consume from can help bring about a change. It is a step towards making water safety more accessible, clear, and trustworthy for everyone.

References

  1. Rosa, Sri Listia, Evizal Abdul Kadir, and Farhan Assidiqi. "Design of Drinking Water Quality Monitoring System Based on Internet of Things." In 2024 17th International Conference on Sensing Technology (ICST), pp. 1-6. IEEE, 2024.
  2. Mathew, Binu K., Fossy Mary Chacko, and Shabin Kandisseril Shilu. "Intelligent IoT-Based Real-Time Water Quality Monitoring and Pollution Detection System." In 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), pp. 1-7. IEEE, 2023.
  3. Roy, Aditya, Subhadeep Mukhopadhyay, and Sahadev Roy. "IoT based real-time spring water quality monitoring system." In 2022 1st International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing (PCEMS), pp. 84-87. IEEE, 2022.
  4. Ismail, Shereen, Diana W. Dawoud, Nadhem Ismail, Ronald Marsh, and Ali S. Alshami. "IoT-based water management systems: survey and future research direction." IEEE Access 10 (2022): 35942-35952.
  5. Mathew, Binu K., Fossy Mary Chacko, and Shabin Kandisseril Shilu. "Intelligent IoT-Based Real-Time Water Quality Monitoring and Pollution Detection System." In 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), pp. 1-7. IEEE, 2023.
  6. Ganesha, B. P., and B. S. Rajeshwari. "IoT Enabled Real-Time Water Quality Monitoring System." In 2025 3rd International Conference on Smart Systems for applications in Electrical Sciences (ICSSES), pp. 1-4. IEEE, 2025.
  7. Batcha, S., N. Pushpalatha, M. Kasthuri, K. Rokith, D. Subathra, and S. Ragul. "Monitoring System For Water Quality Using Solar Powered IoT." In 2022 8th International Conference on Smart Structures and Systems (ICSSS), pp. 1-4. IEEE, 2022.
  8. Sai, G. Nitish Satya, Reddy Sudheer, Kondreddy Sai Manikanta, Sri Ganesh Arjula, Bandi Narasimha Rao, and Durga Venkata Sai Maneeswar Mutyala. "IoT based Water Quality Monitoring System." In 2021 IEEE 9th Region 10 Humanitarian Technology Conference (R10-HTC), pp. 01-06. IEEE, 2021.
  9. Roy, Aditya, Subhadeep Mukhopadhyay, and Sahadev Roy. "IoT Based Water Quality Monitoring System." In 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA), pp. 1-4. IEEE, 2022.
  10. Baranitharan, B., Ch Chandra Sekhar Dhanush, K. Yuvaraj, Bireddy Gowtham, R. Mahalakshmi, and K. Madasamy. "IOT Based Smart Irrigation Water Management System." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL), pp. 496-500. IEEE, 2025.
  11. VeerasekharReddy, B., S. Sarath, Jeethu Philip, Usham Shashank Reddy, Lachapathi Naresh, and K. Tejaswini. "Water quality monitoring system using IoT and cloud." In 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), pp. 1036-1042. IEEE, 2023.
  12. N. Pande and A. Sayyad, "Smart System with IoT for Water Quality Monitoring," 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2022, pp. 1110-1112, doi: 10.1109/ICAISS55157.2022.10011108.
  13. Gayathri, N. R., S. Manjula, W. T. Chembian, V. Dhivya, and KR Anirudh Dhanunjay. "Smart Water Quality Monitoring and Management System." In 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), pp. 1-4. IEEE, 2024.
  14. Rambabu, Kalathiripi, Sanjay Dubey, Kola Naga Srinivas, Dhonapati Nithin Reddy, and Chinthala Rohith. "Smart Water Flow and Pipeline Leakage Detection Using IoT and Arduino UNO." In 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), pp. 174-180. IEEE, 2024.
  15. Das, Brinda, and P. C. Jain. "Real-time water quality monitoring system using Internet of Things." In 2017 International conference on computer, communications and electronics (Comptelix), pp. 78-82. IEEE, 2017.
  16. Luong, Hong Phuoc Vo, Viet Hai Le Dinh, Hoa Tien Le Nguyen, and Xuan Tien Nguyen Vinh. "Developing a Smart Water Quality Monitoring System Using IoT Technologies." IEEJ Transactions on Sensors and Micromachines 144, no. 10 (2024): 311-315.
  17. Bagal, Prathamesh. (2025). Smart water meter and water quality monitoring using iot. International journal of scientific research in engineering and management. 09. 1-9. 10.55041/ijsrem49731.
  18. Rai, Shanvendra, Dhanasree S. Poduval, Utkarsh Anand, Vishnu Verma, and Subhasish Banerjee. "An effective smart water quality monitoring and management system using IoT and machine learning." SN Computer Science 5, no. 7 (2024): 846.
  19. Rai, Shanvendra, Dhanasree S. Poduval, Utkarsh Anand, Vishnu Verma, and Subhasish Banerjee. "An effective smart water quality monitoring and management system using IoT and machine learning." SN Computer Science 5, no. 7 (2024): 846.
  20. Hemdan, Ezz El-Din, Youssef M. Essa, Marwa Shouman, Ayman El-Sayed, and Abdullah N. Moustafa. "An efficient IoT based smart water quality monitoring system." Multimedia tools and applications 82, no. 19 (2023): 28827-28851.
  21. Teng, Lee Mei, Khairul Huda Yusoff, M. N. Mohammed, Adnan N. Jameel Al-Tamimi, Norazliani Md Sapari, and M. Alfiras. "Toward Sustainable Smart Cities: Smart Water Quality Monitoring System Based on IoT Technology." In Artificial Intelligence and Transforming Digital Marketing, pp. 577-593. Cham: Springer Nature Switzerland, 2023.
  22. Sharanya, U. G., Koushalya M. Birabbi, B. H. Sahana, D. Mahesh Kumar, N. Sharmila, and S. Mallikarjunaswamy. "Design and Implementation of IoT-based Water Quality and Leakage Monitoring System for Urban Water Systems Using Machine Learning Algorithms." In 2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON), pp. 1-5. IEEE, 2024.
  23. Mandal, Purnendu, Alak Roy, Harjeet Nath, and Mainak Dhar. "Intelligent IoT System for Continuous Water Quality Monitoring." In 2024 IEEE Silchar Subsection Conference (SILCON 2024), pp. 1-5. IEEE, 2024.
  24. Flores-Cortez, Omar Otoniel. "A Low-Cost IoT System for Water Quality Monitoring in Developing Countries." In 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), pp. 596-597. IEEE, 2024.
  25. Parveen, Safina, Syed Muhammad Nabeel Mustafa, Sanober Soomro, and Shama Bano. "Smart Water Level Monitoring System Using Internet of Things (IoT)." In 2023 Global Conference on Wireless and Optical Technologies (GCWOT), pp. 1-7. IEEE, 2023.