An Intelligent-IoT-Based Data Analytics for Freshwater Recirculating Aquaculture System

Abstract

Implementing innovative farming practices becomes imperative for a country whose economy relies heavily on agricultural products. Over recent years, the swift process of urbanization and the depletion of forests have influenced farmers. Due to the lack of rainwater harvesting and changing weather patterns, many crop failure cases have been registered in the last few years. To prevent loss of annual crop production, many researchers propose the technology-driven smart farming method. Smart agriculture involves utilizing technology to create a controlled environment for the management of the crops. Smart farming increases crop production and provides small farmers with an alternative income source. The government initiated many pilot projects to promote smart agriculture in India. Yet, the absence of technological assistance and skilled procedures poses a challenge for most farmers aiming to thrive in this industry. This paper introduces a smart freshwater recirculating aquaculture system based on IoT technology. The proposed system has integrated sensors and actuators. The sensor system monitors the water parameters, and actuators maintain the aquaculture environment. An intelligent data analytics algorithm played a significant role in monitoring and maintaining the freshwater aquaculture environment. The analytics derived the relationship between the water parameters and identified the relative change. From the experimental evaluation, we have identified that the M5 model tree algorithm has the highest accuracy for monitoring the relative change in water parameters.