Investigation on Water Quality for Farmed Aquatic Species by IoT Monitoring System

Authors

  • Syazwan Izharuddin Mohamad Sabri Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Norazlianie Sazali Centre for Research in Advanced Fluid and Processes, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Ahmad Shahir Jamaludin Faculty of Manufacturing and Mechatronics Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Wan Sharuzi Wan Harun Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Kumaran Kadirgama Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
  • Devarajan Ramasamy Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

DOI:

https://doi.org/10.37934/araset.31.3.317327

Keywords:

IoT water quality, Blynk, ESP32, real-time monitoring

Abstract

The objective of this research is to optimize fish growth in super-intensive aquaculture systems by addressing water quality issues. Changes in water parameters can significantly impact fish growth and even lead to mortality. To overcome this problem, real-time monitoring of water quality parameters is crucial, and the data should be automatically transmitted to the entrepreneur through the Internet of Things (IoT). This allows the owner to access real-time data remotely, eliminating the need to be physically present at the fish cage. By monitoring the data on a smartphone, the owner can efficiently manage the water quality. In this study, a water quality monitoring system utilizing temperature, pH, and ESP32, with the parameter values displayed on the Blynk platform was developed. The system successfully measures real-time water conditions and transmits the data to the Blynk application. The test results demonstrate the system's capability to receive and send data, but further analysis is needed to evaluate the accuracy and reliability of the measurements and identify any noteworthy findings.

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Author Biographies

Syazwan Izharuddin Mohamad Sabri, Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

syazwanizharuddin@gmail.com

Norazlianie Sazali, Centre for Research in Advanced Fluid and Processes, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

azlianie@ump.edu.my

Ahmad Shahir Jamaludin, Faculty of Manufacturing and Mechatronics Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

shahir@ump.edu.my

Wan Sharuzi Wan Harun, Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

sharuzi@ump.edu.my

Kumaran Kadirgama, Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

kumaran@ump.edu.my

Devarajan Ramasamy, Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia

deva@ump.edu.my

Published

2023-08-18

Issue

Section

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