A Design of Automatic Control System for Fish Farm on Blynk Application

The purpose of this study project was to design and build a performance display system for automatic control sensor performance in a cement pond in a cement pond on Blynk Application to show the performance of automatic control sensor in cement plant through Blynk application. In the application of the Internet in combination with performance analysis Root Mean Square Error (RMSE) is of less than 0.5. The implementation of the automatic control sensor performance display system in the simulation pond of fish culture in the cement pond via Blynk Application to be installed in the simulation fish farming system to analyze the performance of the automatic control sensor using the transparent turbidity sensor pH sensor temperature sensor water level sensor. It uses Root Mean Square Error (RMSE) of the sensor that is compared to the theory in the appropriate installation position, making it the standard deviation of the system compared to the theory, in which the calculation of automatic control sensors in ponds simulates fish farming in cement ponds, has a Root Mean Square Error (RMSE) of less than 0.5 percent compared to the theory and calculation. From the experiment, it is found that the Root Mean Square Error (RMSE) of the sensor less than 0.5 percent. There is a reduced cost of the water transfer system that is 29,450 baht per year and has a payback period of 1.0 years.