INVESTIGATION OF A MODEL FOR CONTROLLING DISSOLVED OXYGEN CONCENTRATION IN CRAB PONDS

Abstract

Nowadays, aquaculture, especially crab farming, is given special attention to development. However, the control of dissolved oxygen
concentration in crab ponds has not been widely studied. Therefore, the purpose of the project is to study a model to control the dissolved oxygen concentration in water in a ratio appropriate to the weather and climate conditions in Tra Vinh Province, Vietnam. The study uses data collection and processing of actual data from the crab farming environment in the pond to find the most suitable control model, thereby adjusting the dissolved oxygen concentration to suit the atmospheric conditions of the local post. Data is collected through sensors installed directly on the pond. Then it is processed with Matlab Simulink software to check the effectiveness of the models. The results of this study show that the artificial neural network model is the most suitable model for applying dissolved oxygen concentration control. Research results can be used to improve dissolved oxygen concentration adjustment devices, increasing the productivity, quality, and production efficiency of the aquaculture industry.