Internet of Things Based Water Quality Monitoring System Model for Fish Farming in Bangladesh

— · 10.63414/jeas.v9.n1.2025.41
Abstract

In this study, an Internet of Things (IoT) based water quality monitoring system model is proposed for periodically monitoring the water condition of fisheries from the perspective of Bangladesh. Although Bangladesh is a leading country in fisheries, but it fails to produce in its full potential due to lack of technology and mismanagement. Traditional farming methods are still prevailent widely, while some farms use basic electric devices like water wheel aerators, manual pH meters and DO (Dissolved oxygen) meters for improvement but these tools are inadequate for effective water quality monitoring. Consequently, the water quality of fisheries declines and hence fish production hampers. This study aims to develop an IoT based water quality monitoring system model with user-friendly solutions for the farmers to enhance sustainability of fisheries. To develop such a model, multiple models were studied, and suitable ones were identified. Afterward, applicable sides of different models were identified and combined. Finally, some new features like expert suggestion, government aid and control, user-friendly application, multilingual and voice mode, flood and disaster alert, weather forecast etc. were introduced to make the model suitable. The proposed model working procedure is kept simple for ease in implementation and maintenance. Firstly, sensors monitor certain parameters such as water temperature, pH, DO and water level of the pond in central monitoring zone. The collected data is sent to the central server for analysis, which is afterward transmitted to mobile devices to monitor the water quality and take necessary actions based on the suggestions of fisheries' experts.

Conclusion

Through reviewing the literature, it becomes obvious that there is a noticeable lack of research concerning the integration of advanced technologies like IoT in the local fisheries sector. Consequently, this paper attempts to bridge this gap. This study also highlights the potential benefits of IoT implementation in fish farming practices in modern systems. The suggested model also integrates the mobile application with the central monitoring zone. It is hoped that the DoF will consider the proposed model for implementation, inspire local owners and train them to adopt the proposed system. The literature review also emphasizes ongoing efforts to enhance sustainability within the fisheries industry, with modern digital technologies being recognized for their positive impacts across various aspects of fish farming projects. Through a combination of relevant studies and problem identification, this research certifies these findings within the Bangladeshi context. This research constitutes one of the initial experiments within the Bangladeshi context. Within the Bangladeshi context, Further studies on the efficiency of these technologies will contribute to future improvements in the field. A limitation of this study is that the research was done without data as there is currently no similar system in Bangladesh, limiting the scope for data collection hence it is not possible to provide scientific justification with practical data for the proposed system. This system is a regional modification of the prevailing systems of other countries like that of [4]. It’s one of the main advantages over the other systems is cost effectiveness and simple structure. These two factors are vital from the perspective of Bangladesh for adapting new technology. From the point of view of farmers, this system can minimize loss in fisheries business by availing expert support, total monitoring of the water quality, flood and disaster alert etc. Due to above reasons, this system could be feasible for the fisheries of Bangladesh.

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