Smart Aquatic Based Predictive Techniques Of Water Quality Management Using Iot
The Quality of Water plays a significant role in the field of Aquatic Science. The Quality of the water depends upon the region depends. If the industries area, the quality of the water may be in the poor ratio. This paper proposed a new approach to predict the quality of the water based on the IoT with various sensor which is connected with the computer device. The quality of the water are predicted based microcontroller with Wifi devices connected. Predictive techniques water quality management focused on four types of sensor. First pH Sensor used to determine the pH level of water quality in terms of glass electrode, reference electrode and gel electrode. Second Co2 sensor used to predict the level of Co2. Third Sensor used to determine the level of water reservoir and finally temperature sensor which used to determine the temperature level of water quality. This paper provides an efficient hybrid approach to predict the water quality management using IoT.