Computer Program for Predicting and Managing Water Quality Parameters for Aquacultural Production

The success of aquacultural production depends to a large extent on the water quality parameters. Maintaining water quality of aquacultural systems through adequate monitoring is paramount for increasing production. However, the cost of laboratory analysis involved discourages farmers from proper water quality monitoring, hence the deterioration of the fish environment and subsequent decrease in production. This study therefore developed a computer program which will be used in predicting and take management decisions for parameters such as un-ionized ammonia (UIA), dissolved oxygen (DO) and carbon-dioxide (CO ) whose 2 laboratory analysis are time consuming and expensive. The interrelationships between the water quality parameters were established mathematically and written in C#. The developed model was validated with experimental data, to ascertain the suitability of the model. The mean observed values of UIA, DO and CO2 were 0.03995, 7.641 and 5.72 mg/L, respectively which showed a strong relationship with the predicted ones 0.0412, 7.53943 and 5.9095 mg/L.