Water Turbidity Detection System Using Arduino
Shubhash Chand Yogi
Assistant Professor, Department of Electronics & Communication Engineering, KIPM College of Engineering and Technology, U.P., India
Rajesh Gautam
Scholar, Department of Electronics & Communication Engineering , KIPM College of Engineering and Technology, U.P., India
Sachin Singh
Scholar, Department of Electronics & Communication Engineering , KIPM College of Engineering and Technology, U.P., India
Mukesh Singh
Scholar, Department of Electronics & Communication Engineering , KIPM College of Engineering and Technology, U.P., India
📌 DOI: https://doi.org/10.63920/tjths.52038
🔑 Keywords: Arduino, Turbidity module, Water Quality Measurement
📅 Publication Date: 30 April 2026
📜 License:
This work is licensed under a Creative Commons Attribution 4.0 International License
- Share — Copy and Redistribute the material
- Adapt — Remix, Transform, and build upon the material
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Abstract:
Turbidity is an important parameter used to determine the quality of water by measuring the presence of suspended particles such as dust, silt, microorganisms, and organic matter. High turbidity affects the clarity of water and may indicate contamination, making it unsafe for drinking and other uses. This study focuses on the detection and measurement of turbidity using standard methods such as visual observation and turbidity meters (nephelometers), which measure light scattering in water. The turbidity level is expressed in Nephelometric Turbidity Units (NTU). Accurate measurement of turbidity is essential for water treatment processes and environmental monitoring. This experiment helps in understanding the significance of water clarity and ensures the maintenance of safe and clean water quality.
Download Full PDF Paper
📖 How to Cite
Shubhash C. Y., Rajesh G., Sachin S., Mukesh S. (2026). Water Turbidity Detection System Using Arduino. TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52038
📊 Article Metrics
References
References
[1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th ed. Pearson, 2020. [Online]. Available: http://aima.cs.berkeley.edu/
[2] T. M. Mitchell, Machine Learning. New York, NY, USA: McGraw-Hill, 1997. [Online]. Available: https://www.cs.cmu.edu/~tom/mlbook.html
[3] I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning. Cambridge, MA, USA: MIT Press, 2016. [Online]. Available: https://www.deeplearningbook.org/
[4] D. Jurafsky and J. H. Martin, Speech and Language Processing, 3rd ed. [Online]. Available: https://web.stanford.edu/~jurafsky/slp3/
[5] A. Vaswani et al., “Attention Is All You Need,” in Advances in Neural Information Processing Systems (NeurIPS), 2017. [Online]. Available: https://arxiv.org/abs/1706.03762
[6] MongoDB Inc., “MongoDB Documentation.” [Online]. Available: https://www.mongodb.com/docs/
[7] Meta Open Source, “React Documentation.” [Online]. Available: https://react.dev/
[8] OpenJS Foundation, “Node.js Documentation.” [Online]. Available: https://nodejs.org/en/docs/
[9] Express.js, “Express.js Documentation.” [Online]. Available: https://expressjs.com/
[10] OpenAI, “OpenAI Documentation.” [Online]. Available: https://openai.com/
[11] R. S. J. d. Baker and K. Yacef, “The state of educational data mining in 2009: A review and future visions,” Journal of Educational Data Mining. [Online]. Available: https://jedm.educationaldatamining.org/index.php/JEDM/article/view/8
[12] K. Verbert et al., “Learning analytics dashboard applications,” Computers & Education, 2016. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0360131515301263
[13] S. Deterding et al., “Gamification: Toward a definition,” in Proc. CHI Conference, 2011. [Online]. Available: https://dl.acm.org/doi/10.1145/2181037.2181040
[14] R. S. Pressman, Software Engineering: A Practitioner’s Approach. New York, NY, USA: McGraw-Hill, 2019. [Online]. Available: https://www.mheducation.com/
[15] Google LLC, “Google Forms.” [Online]. Available: https://workspace.google.com/products/forms/