1st International Conference on Emerging Trends in Mechanical Sciences for Sustainable Technologies
Analyzing the Effectiveness of IOT-Enabled Water Quality Management Systems with Fish Disease Index Parameters – A Critical Review
Ganeshkumar S, Raghul K K, Sugesh Moorthy S and Vishal R K, Department of Mechanical Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.
This research review article examines the effectiveness of Internet of Things (IoT)-enabled water quality management systems in controlling fish diseases. The research conducted a critical review of the literature to analyze the effectiveness of such systems. Through a systematic review of the literature, the authors identified various fish diseases and their associated parameters that are monitored by IoT-enabled water quality management systems. The article then discussed the impacts of various parameters on fish health, and the importance of monitoring these parameters. The authors also highlighted the benefits of using such systems, such as cost-effectiveness, accuracy, and improved data collection and analysis. Finally, the authors proposed various strategies to improve the effectiveness of IoT-enabled water quality management systems, such as the use of multi-parameter sensors, real-time monitoring, and the integration of different sensors to capture a broader range of parameters. In conclusion, the authors argued that IoT-enabled water quality management systems are a cost-effective and accurate way to monitor and manage fish diseases. However, more research is needed to improve the efficiency and accuracy of such systems.
Keywords
IOT, Water Quality Management Systems, Fish Diseases, Parameters, Multiparameter Sensors, Real-Time Monitoring.
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Cite this article
Ganeshkumar S, Raghul K K, Sugesh Moorthy S and Vishal R K, “Analyzing the Effectiveness of IOT-Enabled Water Quality Management Systems with Fish Disease Index Parameters – A Critical Review”, Advances in Intelligent Systems and Technologies, pp. 130-136, August. 2023. doi:10.53759/aist/978-9914-9946-4-3_20
