Authors : Singam Aruna; Sujatha Kuna; Divya Sri Jami; Sai Veda Varshitha Kella; Srilalitha Patta; Navya Deepika Neredimilli

Volume/Issue : Volume 11 - 2026, Issue 7 - July

Google Scholar : https://tinyurl.com/4vf6v7df

Scribd : https://tinyurl.com/ytnbm7zc

DOI : https://doi.org/10.38124/ijisrt/26jul1775

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Water quality is the most important factor for aquaculture and drinking purposes. Water pollution is a major threat that affects the aquatic life and human’s health. Conventional water quality methods use visual and physical testing to evaluates the probability of collected water sample. The solution of this problem is we proposed a manually floating platform for automated water condition sensing and detection system. It is an IoT based system that checks the quality of water in real-time. The proposed system uses an ESP32 microcontroller embedded with multiple sensors which are pH sensor, TDS (total dissolved solids) sensor, Turbidity sensor, Temperature sensor (DS18B20). These sensors continuously track the key parameters collected from multiple locations in the lakes or ponds. The ESP32 microcontroller reads the sensors values and determines whether the water is SAFE or NOT SAFE based on the predefined threshold values. The sensor acquired data is uploaded to Blynk IoT environment which is available for the users to check the water quality. The developed system yields a resource-optimized, energy-efficient and sustainable approach towards ecological parameter assessment. It can be deployed in lakes, ponds, aquaculture and for industrialization.

Keywords : Aquaculture, Microcontroller, Sensors, Blynk IoT.

References :

1. A. Bhaga and V. Madisetti, *Internet of Things: A Hands- On Approach*, 1st ed., India: Universities Press, 2015.
2. R. Kamal, *Embedded Systems Design*, 1st ed., New Delhi: McGraw-Hill Education, 2011.
3. P. Scherz and S. Monk, *Practical Electronics for Inventors*, 4th ed., New York: McGraw-Hill Education, 2016.
4. D. Hanes, G. Salgueiro, P. Grossetete, R, Barton and C. Madson, *IOT Fundamentals: Networking Technologies, Protocols, and Use Cases for the Internet of Things*, 1st ed., India: Pearson Education, 2017.
5. C. E. Boyd and J. G. Zhang, *Water quality: An Introduction*, Springer, 2017.
6. J. Artiola, I. L. Pepper and M. Brusseau, *Environmental Monitoring*, 1st ed., Elsevier, 2004.
7. World Health Organization, *Guidelines for Drinking-Water Quality*, 4th ed., WHO press, 2017.
8. NASA Goddard Space Flight Center, “Water Quality Monitoring Systems Information,” NASA Water Monitoring Program, 2019 [Online]. Available: https://science.nasa.gov./earth-science/oceanography/layers-of-the-ocean.
9. STMicroelectronics, *L298 and L298P Datasheet*, 2018. [Online]. Available: https://www.st.com/resource/en/datasheet/I298.pdf.
10. Maxim Integrated, *DS18B20 Digital Thermometer Datasheet*, 2020. [Online]. Available: https://datasheets.maximintegrated.com.en/ds/DS18B20.pdf.