Smart IoT Based Monitoring System for Fish Breeding

Authors

  • Danial Mohammad Ghazali Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
  • Nur Safwati Mohd Nor Program of Applied Mechanics and Design, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
  • Muhammad Afendi Mohaini Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia
  • Hendri Maja Saputra Research Center for Smart Mechatronics, National Research and Innovation Agency (BRIN), Kampus BRIN, KST Samaun Samadikun, Jl. Sangkuriang, Dago, Kec. Coblong, Bandung 40135, Indonesia

DOI:

https://doi.org/10.37934/aram.104.1.111

Keywords:

Fish breeding, water quality monitoring, internet of things, microcontroller-based system

Abstract

Water quality in breeding tank plays a significant role when breeding the fish because optimal water quality is significant as these environmental changes will affect young fish to grow successfully. In order to ensure an optimal water quality in the fish breeding tank, an automatic and IOT based monitoring system is essential to replace the conventional monitoring which is done manually. In this paper, Jade Smart 1.0 was developed as a IoT based monitoring system of water quality in the breeding tank which consists of three identical boxes equipped with ESP32 as microcontroller, pH sensor, water temperature sensor and water turbidity sensor. This smart monitoring system is capable to digitally collect, store and display the water quality data in real-time through web and mobile phone applications. Jade Smart 1.0 was tested with three different points known as point A, point B and point C, in real local fish breeding tank in Seremban 2, Negeri Sembilan. Point A was located at the incoming water source, point B, at the corner of the tank opposite of the incoming water and point C, at the corner opposite of point B. The result showed that the average pH level at three locations for water depth of 10cm was pH 6.48 and at water depth of 20cm, dropped to pH 6.40. The maximum difference was 2.6% while the minimum difference was 0.6%. For water temperature at three locations at the water depth of 10cm, the average reading was 28.6°C while for water depth of 20cm, the average reading dropped to 28.3°C. The maximum difference of 1.7% and minimum difference of 0.3% were found. Next, for water turbidity, the location A measured an average of 3.3NTU while location B and location C measured an average reading of 9.8NTU and 9.9NTU respectively.

Author Biographies

Danial Mohammad Ghazali, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

danial.ghaz@gmail.com

Nur Safwati Mohd Nor, Program of Applied Mechanics and Design, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

nursafwati@utm.my

Muhammad Afendi Mohaini, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malaysia

afendimohaini98@gmail.com

Hendri Maja Saputra, Research Center for Smart Mechatronics, National Research and Innovation Agency (BRIN), Kampus BRIN, KST Samaun Samadikun, Jl. Sangkuriang, Dago, Kec. Coblong, Bandung 40135, Indonesia

hendri.maja@gmail.com

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Published

2023-05-29

How to Cite

Danial Mohammad Ghazali, Nur Safwati Mohd Nor, Muhammad Afendi Mohaini, & Hendri Maja Saputra. (2023). Smart IoT Based Monitoring System for Fish Breeding. Journal of Advanced Research in Applied Mechanics, 104(1), 1–11. https://doi.org/10.37934/aram.104.1.111

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