Real-Time Water Monitoring System for Fish Farmers Using Arduino

Abstract

In Malaysia, fish farmers mainly use the manual technique to monitor the quality of the water. Among the parameters monitored for determining the water quality is PH level, temperature and turbidity. These parameters are significant in making sure water is at the optimum level for fish farming. Using the manual technique is disadvantageous since it requires human intervention during the process of water sampling, testing and subsequently determining the water quality. The manual process may additionally affect the data integrity and lead to the possibility of inaccuracy in terms of the water analysis results. Besides that, it might be inefficient to manage all the water quality data by using the manual technique of water quality monitoring. Since the water being tested need to be taken to the lab for testing a delayed detection of contaminants. An even bigger impact of using the manual technique is the accumulation of operational costs dedicated to the water sampling and analysis process. Therefore, the Real-Time Water Monitoring System is proposed to alleviate these problems by utilizing the Internet of Things (IoT) technology to automate the water monitoring process. Digital sensors are used to measure the water PH level, temperature and also turbidity and these sensors are controlled using the Arduino board. The data collected from the sensors is wirelessly transmitted to a server and as such monitoring efficiency and data integrity is ensured. Fish farmers would be able to monitor the water quality in their fish farm ubiquitously via a mobile phone app. The system also recommends suitable measures to correct the water quality based on the current readings. It has been tested using functionality and data accuracy testing to ensure that the system operates accordingly.