DOI : https://doi.org/10.62527/comien.2.3.67

FiSH: Fish Smart Habitat – An IoT-based Smart Aquarium Monitoring System

Mudiana Mokhsin (1), Rozianawaty Osman (2), Muhammad Arbaie Yahya (3), Nor Diana Ahmad (4), Emma Nuraihan Mior Ibrahim (5), Ahmad Zambri Shahuddin (6), Maslina Abdul Aziz (7), Hamizan bin Abdul Halim (8)
(1) School of Computing Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
(2) School of Computing Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
(3) School of Computing Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
(4) School of Computing Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
(5) School of Computing Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
(6) School of Computing Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
(7) School of Computing Sciences, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
(8) Ibusawat TM Setapak, 44, Persiaran Kuantan, Titiwangsa, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Fulltext View | Download
How to cite (COMIEN) :
Mokhsin , M., Osman , R., Yahya , M. A., Ahmad , N. D., Ibrahim , E. N. M., Shahuddin , A. Z., … Halim , H. bin A. (2025). FiSH: Fish Smart Habitat – An IoT-based Smart Aquarium Monitoring System. International Journal on Computational Engineering, 2(3), 96–107. https://doi.org/10.62527/comien.2.3.67
Citation Format :

Maintaining a healthy aquarium environment for pet fish is essential due to the critical influence of factors like pH, temperature, and oxygen levels. Sudden pH change can compromise fish immunity and escalate disease susceptibility. Overfeeding poses stress and health risks. Effective water quality management is pivotal, improving fish well-being and reducing the necessity for chemical interventions. Thus, this project endeavours to craft an aquarium integrated with a mobile application, streamlining the user's responsibility of nurturing a healthy aquatic habitat for their pet fish through employment of the Mobile Application Development Lifecycle (MADLC). The system employs an ATmega2560 board, an analog pH sensor, and a temperature sensor to detect pH levels and monitor water temperature. The project's core objective is to identify the system requirements, design and develop the FISH - Fish Smart Habitat: An IoT-Based Smart Aquarium Monitoring System Mobile Application. This venture holds significance in its endeavour to enhance fish health by leveraging IoT technology to oversee and regulate the habitat. The application extends remote fish feeding and provides status updates on water conditions, gauging pH suitability based on the fish species within the aquarium. Test users attested to the product's efficacy, yielding an average System Usability Scale (SUS) score of 86.25. This project boasts a promising potential to positively transform fish care methodologies. In conclusion, the FiSH - Fish Smart Habitat: An IoT-Based Smart Aquarium Monitoring System mobile application not only simplifies aquarium upkeep but also curtails costs and propels fish growth. This initiative contributes to a sustainable and health-conscious approach to aquarium management. Moving forward, the project will enhance the aquarium interface by incorporating supplementary hardware, including a controllable LED.

L. Wood, B. Giles-Corti, and M. Bulsara, "The pet connection: Pets as a conduit for social capital?," Soc. Sci. Med., vol. 61, no. 6, pp. 1159–1173, Sep. 2005, doi: 10.1016/j.socscimed.2005.01.017.

C. M. Amrita, D. Babiyola, M. Kamalakannan, S. Nivetha, and P. Sivanesan, "IoT based Smart Water Quality Management in Aquarium," Biotica Res. Today, vol. 3, no. 9, pp. 741–744, 2021.

P. Aleström et al., "Zebrafish: Housing and husbandry recommendations," Lab. Anim., vol. 54, no. 3, pp. 213–224, Jun. 2020.

R. Francis-Floyd, C. Watson, D. Petty, and D. Pouder, "Ammonia in Aquatic Systems: FA-16/FA031, 06/2022," EDIS, vol. 2022, no. 3, 2022.

N. H. M. Tahir, S. N. Mohamad, W. F. W. Tarmizi, M. L. M. Zain, and N. N. Jailani, "Journal of Engineering and Technology," 2020.

H. Roh et al., "Overfeeding-Induced Obesity Could Cause Potential Immuno-Physiological Disorders in Rainbow Trout (Oncorhynchus mykiss)," Animals, vol. 10, no. 9, 2020, Art. no. 1499, doi:10.3390/ani10091499.

Z. Zuriati, A. R. Supriyatna, and O. Arifin, "Design and Development of Feeding Automation System and Water Quality Monitoring on Freshwater Fish Cultivation," in IOP Conf. Ser.: Earth Environ. Sci., vol. 1012, no. 1, 2022, Art. no. 012077.

A. Lundberg and M. Srinivasan, "Effect of the presence of an aquarium in the waiting area on the stress, anxiety and mood of adult dental patients: A controlled clinical trial," PLoS One, vol. 16, no. 10, 2021, Art. no. e0258118, doi: 10.1371/journal.pone.0258118.

E. Alawadhi, J. Othman, and H. H. M. Jani, "The Factor that Affects Biophilia Application at the Workplace," J. Archit. Environ. Struct. Eng. Res., vol. 4, no. 2, pp. 32–37, 2021.

M. E. Abd El-Hack et al., "Effect of environmental factors on growth performance of Nile tilapia (Oreochromis niloticus)," Int. J. Biometeorol., vol. 66, no. 11, pp. 2183–2194, Nov. 2022.

O. Ali, M. K. Ishak, M. K. L. Bhatti, I. Khan, and K.-I. Kim, "A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface," Sensors, vol. 22, no. 3, Jan. 2022, Art. no. 995, doi: 10.3390/s22030995.

M. F. Suhaimi, N. H. M. Tahir, S. N. Mohamad, and S. R. Aw, "IoT Based Automatic Aquarium Monitoring System for Freshwater Fish," Int. J. Synergy Eng. Technol., vol. 2, no. 1, pp. 125–133, 2021.

K. Schwab, The Fourth Industrial Revolution. London, U.K.: Penguin UK, 2018.

Deloitte, "Industry 4.0: Building the digital enterprise," Deloitte Univ. Press, 2018.

PwC, "Industry 4.0: Building the digital enterprise," PwC, 2018.

KPMG, "Industry 4.0: The future of manufacturing," KPMG Int., 2018.

McKinsey, "Industry 4.0: What it means for the future of work," McKinsey & Co., 2018.

Y. P. Sai and Z. C. Alex, "Smart Aquarium," Int. J. Sci. Res., 2022.

T. Vithani and A. Kumar, "Modeling the Mobile Application Development Lifecycle," in Proc. Int. MultiConf. Eng. Comput. Sci., vol. 1, 2014.

J. Brooke, "SUS: A quick and dirty usability scale," in Usability Evaluation in Industry, P. W. Jordan, B. Thomas, B. A. Weerdmeester, and I. L. McClelland, Eds. London, U.K.: Taylor & Francis, 1996, pp. 189–194.

L. Wu, N. C. Pa, R. Abdullah, W. N. Ab. Rahman, and M. Tee, "Exploring functional and non-functional Requirements of social media on knowledge sharing," J. Theor. Appl. Inf. Technol., vol. 93, no. 2, 2016.