Development of an Aquaponics Farming Technology System Using Arduino Based on Internet of Things

Authors

  • Shin Ru Yau Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Campus, Hab Pendidikan Tinggi Pagoh, M 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia
  • Jamaludin Jalani Department of Electronic Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400 Batu Pahat, Johor, Malaysia
  • Amirul Syafiq Sadun Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Campus, Hab Pendidikan Tinggi Pagoh, M 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia
  • Sujana Mohd Rejab MyVista, Lot 396, Jalan Matang, 34700 Simpang, Ipoh, Perak, Malaysia
  • Johannes John Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Campus, Hab Pendidikan Tinggi Pagoh, M 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia

DOI:

https://doi.org/10.37934/araset.45.2.1124

Keywords:

IoT Monitoring System, Aquaponics, Dissolved Oxygen Sensor, Temperature, Sensor, pH Sensor , Ultrasonic Sensor

Abstract

Aquaponics employs diverse biological and ecological strategies, integrating the cultivation of agricultural prawns and plants. A fundamental requirement for successful aquaponics systems is a reliable water source to ensure the stability and adequacy of essential nutrients for prawn and plant production. Managing an aquaponics system effectively necessitates the maintenance of factors such as pH level, water level, water temperature, and dissolved oxygen level. This paper addresses the challenges of aquaponics management by introducing a technology monitoring system based on an Arduino controller and Internet of Things (IoT). The Arduino IDE software facilitates interaction with various input sensors, output devices, and hardware components. The study evaluates four different sensors – dissolved oxygen, temperature, pH, and ultrasonic – and employs the ESP 8266-ESP01 Wi-Fi Module for IoT applications. The main finding of this research highlights the reliability of the proposed aquaponics farming technology monitoring system. The integrated Arduino-based IoT solution effectively monitors critical parameters, including pH, water level, water temperature, and dissolved oxygen level. By continually updating data, the system proves instrumental in enhancing productivity and streamlining management practices for agricultural prawns and plant cultivation in aquaponics. This innovation addresses the pressing need for efficient monitoring and management in aquaponics systems.

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Author Biographies

Shin Ru Yau, Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Campus, Hab Pendidikan Tinggi Pagoh, M 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia

hn170011@student.uthm.edu.my

 

Jamaludin Jalani, Department of Electronic Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400 Batu Pahat, Johor, Malaysia

jamalj@uthm.edu.my

Amirul Syafiq Sadun, Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Campus, Hab Pendidikan Tinggi Pagoh, M 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia

amirul@uthm.edu.my

Sujana Mohd Rejab, MyVista, Lot 396, Jalan Matang, 34700 Simpang, Ipoh, Perak, Malaysia

sujana.rejab@gmail.com

Johannes John, Department of Electrical Engineering Technology, Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Campus, Hab Pendidikan Tinggi Pagoh, M 1, Jalan Panchor, 84600 Panchor, Johor, Malaysia

cn170121@siswa.uthm.edu.my

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Published

2024-04-29

How to Cite

Shin Ru Yau, Jamaludin Jalani, Amirul Syafiq Sadun, Sujana Mohd Rejab, & Johannes John. (2024). Development of an Aquaponics Farming Technology System Using Arduino Based on Internet of Things. Journal of Advanced Research in Applied Sciences and Engineering Technology, 45(2), 11–24. https://doi.org/10.37934/araset.45.2.1124

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Section

Articles