Synthesizing sensor values in an IoT system to monitor water abnormalities in tilapia cages through an application

Abstract

The objective of this research is to synthesize the levels of sensors to monitor water abnormalities in Tilapia cages through an application, which is part of the research on developing a precise fish farming monitoring and control system using the Internet of Things to increase production. Nile tilapia cages at Lam Prathao Dam, Chaiyaphum Province, were monitored by synthesizing the frequently changing values of oxygen, temperature, and pH sensors of the water to support the decision-making of the tilapia farmers. The research results found that: 1. The results of the synthesis of three sets of sensor values for monitoring water abnormalities are as follows: 1.1. pH sensor set: The most appropriate value range of 6.0 to 9.0 pH is very suitable ( = 4.20). 1.2. Temperature sensor set: The most suitable range of values, 23°C to 30°C, is highly appropriate ( = 4.80). 1.3. Dissolved Oxygen (DO) sensor set: The optimum value is greater than or equal to 2.5 mg/L, which is very suitable ( = 4.40). 2. The results of developing the application will notify farmers' mobile phones if water parameters have abnormal values as follows: 2.1. Set up a sensor to measure pH in the IoT system; a value lower than 6.0 or higher than 9.0 pH is very appropriate ( = 4.40). 2.2. Set the temperature sensor in the IoT system; values lower than 23°C or higher than 30°C are highly appropriate ( = 4.60). 2.3. Set the sensor to measure dissolved oxygen (DO) in the water in the IoT system; values less than 2.5 mg/L are very appropriate (  = 4.20).In conclusion, the knowledge gained includes sensor values that can be used in IoT technology to monitor water abnormalities through a mobile app to support decision-making to prevent fish from falling out of the water. This will result in higher fish production and increased income for farmers.