ABSTRACT
A new plan has been proposed for monitored fish farming. Today innovative nations are utilizing custom strategies and overturning methods in the area of fish cultivation. Little or no mechanical innovation is found here to expand the essential cultivation knowledge. In this paper, a novel structure approach is linked to increased profitability. The proposed plan is smart fisheries; it investigates the plan of using the Internet of Things (IoT). It also detects whether the environment is good or not for fish by using a machine learning algorithm. Here QUARTUS II software is used to design a good-quality plan. By utilizing diverse sensors, we have monitored water temperature, turbidity, pH, water level, CO, and NH3 gas. These are the fundamental elements for a fish's life cycle. Anybody can easily monitor it on a Web or mobile application and choose which condition is useful for the water by a machine learning algorithm. As a result, the farmer can easily reduce the rate of loss or increase their productivity at minimum cost. The positive outcomes obtained by the system are tested on the water environment monitoring system.
