Citation

Che Samsuria, Nur Nazifa and Wan Ismail, Wan Zakiah and Mior Abdul Halil, Mior Fakhrul Hazim and Ab Aziz, Nor Azlina and Ghazali, Anith Khairunnisa and Wan Ahmad Kamil, Wan Maryam (2025) Detection of Oil in Water Using Photodiode and Internet of Things. International Journal of Integrated Engineering, 17 (2). pp. 66-81. ISSN 2229-838X

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Abstract

Oil spills in irrigation ditches can have severe environmental and agricultural consequences. We proposes a system that can detect oil spill using a photodiode and an Internet of Things (IoT) platform to enable real-time monitoring. The system integrates a blue lightemitting diode (LED), a photodiode, and an ESP32 microcontroller, which measures resistance changes as an indicator of oil presence in water. Experimental evaluations were conducted by varying the distance between the light source and sensor (6 cm to 9 cm), oil volume (50 mL to 200 mL), and exposure time (1-6 hours). Results indicate that resistance values for oil-free water range from 300 kΩ to 500 kΩ, while oil-contaminated water consistently exhibits resistance below 18 kΩ. The optimal distance for accurate oil detection was determined to be 8 cm, maintaining stable resistance values. Increasing oil volume and prolonged exposure time reduced light penetration, causing a decrease in resistance. Real-time monitoring via the Blynk application provides immediate alerts when oil is detected. The proposed system offers a low-cost, efficient, and scalable solution for early oil spill detection in agricultural irrigation systems, minimizing environmental damage and improving water quality management.

Item Type:	Article
Uncontrolled Keywords:	IoT, light sensor, oil detection
Subjects:	T Technology > TD Environmental technology. Sanitary engineering > TD878-894 Special types of environment Including soil pollution, air pollution, noise pollution T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	22 Dec 2025 03:33
Last Modified:	26 Dec 2025 03:51
URII:	http://shdl.mmu.edu.my/id/eprint/15092

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