Innovative Aquabot Design for Sustainable and Efficient Aquarium Care

Authors

Noor irinah Omar

Universiti Teknikal Malaysia Melaka (Malaysia)

Nur insyirah ismail

Universiti Teknikal Malaysia Melaka (Malaysia)

Tee Zhu Zhao

Universiti Teknikal Malaysia Melaka (Malaysia)

Aiman Elias

Universiti Teknikal Malaysia Melaka (Malaysia)

Nur adlin Abu Bakar

Universiti Teknikal Malaysia Melaka (Malaysia)

Article Information

DOI: 10.47772/IJRISS.2025.91100308

Subject Category: Social science

Volume/Issue: 9/11 | Page No: 3991-3997

Publication Timeline

Submitted: 2025-11-30

Accepted: 2025-12-05

Published: 2025-12-09

Abstract

Fishkeeping is one of the traditional hobbies that remains popular today, involving maintaining various species of fish and beautifying their habitat. This hobby not only provides personal enjoyment but also can attract sustenance, according to the specific beliefs of the Chinese community. Research shows that fishkeeping provides numerous benefits for human well-being, especially for enthusiasts. However, the significant time and effort required to maintain an aquarium, especially its cleanliness, can be challenging for busy individuals. To address this problem, research has been undertaken that focuses

Keywords

Sustainability, aquabot, aquarium

Downloads

References

1. Ahamed, Z., Arifin, M., Hasan, M., & Rahman, M. (2025). Integrated IoT-based monitoring system for water quality assessment using machine learning algorithms. Advances in Computer and Information Systems, 3(1), 12–25. [Google Scholar] [Crossref]

2. Kuriakose, J., Thomas, A., & Varghese, S. (2024). Fuzzy logic-based environmental monitoring and control for smart aquaculture systems. Aquaculture International, 32(2), 445–458. [Google Scholar] [Crossref]

3. Nordin, M. A., Ariffin, M. S., Rahman, H., & Basri, S. (2024). Development of a low-cost IoT water quality monitoring system for aquaculture tanks. Heliyon, 10(8), e23541. [Google Scholar] [Crossref]

4. Rahman, M. T., Islam, S., & Chowdhury, R. (2023). A review of autonomous underwater cleaning robots: Design, challenges, and applications. Journal of Marine Science and Engineering, 11(4), 765. [Google Scholar] [Crossref]

5. Sapna, S., & Aswathy, P. (2024). Real-time IoT-based aquarium monitoring system using calibrated sensors. Scientific Reports, 14, 5562. [Google Scholar] [Crossref]

6. Shinde, P., Patil, R., & Jadhav, S. (2024). IoT-enabled smart aquaculture system for automatic water-quality monitoring. Scientific African, 16, e01398. [Google Scholar] [Crossref]

7. Abbas, A. (2022). DC Motor Speed Control Through Arduino and L298N Motor Driver Using PID DC Motor Speed Control Through Arduino and L298N Motor Driver Using PID Controller. July, 3–7. [Google Scholar] [Crossref]

8. Asafa, T. B., Afonja, T. M., Olaniyan, E. A., & Alade, H. O. (2018). Development of a vacuum cleaner robot. Alexandria Engineering Journal, November. https://doi.org/10.1016/j.aej.2018.07.005. [Google Scholar] [Crossref]

9. García-ramírez, P. J., Hernández-beltrán, A., Domínguez-mancera, B., & Cervantes-, P. (2019). Design of an intra-ruminal wireless communication sensing system for measuring temperature and pH of cattle Design of an intra-ruminal wireless communication sensing system for. July. https://doi.org/10.18805/ijar.B-1053. [Google Scholar] [Crossref]

10. He, A. J., & Soe, M. T. (2024). International Journal on Robotics , Automation and Sciences Mobile Robot with Obstacle Detection System. 6(1), 78–85. Johnson, R., Lee, A., & Martinez, P. (2019). Advances in semi-automated aquarium cleaning devices: Efficacy and user acceptance. Journal of Marine Science and Technology, 27(4), 245-258. [Google Scholar] [Crossref]

11. Kim, S., Patel, R., & Nguyen, T. (2022). Innovations in robotic aquarium cleaning: A review. Journal of AquaticTechnologies, 40(1), 67-81. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles