A Proposed Model of Fishpond Water Quality Measurement and Monitoring System based on Internet of Things (IoT)

Abstract

Aquaculture in Malaysia is now being promoted as an important engine of growth and eventually becoming the pillar of the economy of the nation. However, healthy fish production requires intensive care, and to ensure a stable and healthy production environment inside the fishpond is a challenging task. While cultivating aquatic organisms, water quality is a critical factor. It depends mainly on various parameters such as dissolved oxygen, ammonia, pH, temperature, salt, nitrates, carbonates, etc. In most places, this testing is performed by fishpond farmers manually or by researchers through laboratory testing where there is no real-time monitoring. Today, with the advancement of the Internet of Things (IoT) and sensors, the technology is reaching the ground level with its application uses in agriculture and aquaculture. It is highly desirable to have an IoT-based automated system that can continuously measure and monitor fishpond with optimum utilization of resources. This paper proposes a model for real time measurement and monitoring system based on IoT technology for measuring and monitoring the water parameters in fishpond. We used a qualitative method to investigate perceptions, experiences, and ideas of fishpond farmers in order to propose the model. With the help of the proposed model, the quality of water can be continuously measured and monitored to ensure the growth and survival of fish in pond. As a result, preventive action can be taken in a timely manner to minimize losses and increase productivity.