Review Article
Smart Monitoring and Control Systems in Bioreactor-Based Aquaculture Water Treatment
Alebachew Molla*
Issue:
Volume 13, Issue 2, December 2025
Pages:
22-32
Received:
7 September 2025
Accepted:
18 September 2025
Published:
10 October 2025
DOI:
10.11648/j.ijssn.20251302.11
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Abstract: This abstract presents a concise overview of smart monitoring and control systems for aquaculture water treatment. It highlights the critical safety and productivity challenges faced by aquaculture due to fluctuations in essential water quality parameters such as temperature, pH, dissolved oxygen, and ammonia. Traditional water quality monitoring methods are often labor-intensive and intermittent, risking suboptimal conditions and economic losses. The advent of Internet of Things based smart systems, integrating diverse sensors, cloud computing, and automated actuators, enables real-time, continuous water quality monitoring and dynamic control. These systems facilitate remote data access, efficient management, and rapid response to environmental changes, enhancing fish health and optimizing bioreactor performance. Furthermore, incorporation of artificial intelligence and machine learning offers predictive analytics that improve decision-making and enable proactive interventions. Practical deployments demonstrate significant benefits such as reduced labor costs, improved resource utilization, and enhanced sustainability. Challenges in sensor robustness, data security, and cost remain, but ongoing advances in low-cost, energy-efficient sensors and integrated biosensing technologies promise wider adoption. Overall, smart monitoring and control technologies represent a transformative step toward fully automated, data-driven aquaculture systems, promoting a sustainable blue economy while meeting the growing global demand for aquatic food resources. This review encompasses current technologies, applications, challenges, case studies, and future directions in this dynamic field, offering valuable insights for researchers, practitioners, and policy makers aiming to advance sustainable aquaculture water management.
Abstract: This abstract presents a concise overview of smart monitoring and control systems for aquaculture water treatment. It highlights the critical safety and productivity challenges faced by aquaculture due to fluctuations in essential water quality parameters such as temperature, pH, dissolved oxygen, and ammonia. Traditional water quality monitoring m...
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