Examination of Water Impurities Using IoT and Machine Learning Techniques

Using the analogue front circuit LMP91200, the microcontroller ATMEGA328, and the GSM module, this venture attempts to construct a pH sensor that is wireless and intelligent that can keep track of the pH of a nutritional in real-time solution The experiment demonstrates that This apparatus has a high level of performance. Level of accuracy, up to 0.01, and that it can connect to a corporate cloud services platform to perform operations such as accurate pH value acquisition and calibration. The interaction with the cloud platform via TCP/IP PROTOCOL, Android Remote measurement through APP and PC is stable. with no packet loss after 12 h of testing; because of the high uploading speed, the device networking and upload can be completed in 5 s; and, in addition, The traditional method of nutrient solution measurement has been altered. This paper discusses the concepts of the water contaminants, salts and the hydrogen ions present in the water. We have also analyzed the concepts in fresh water as well as waste water to sum up the results using machine learning technology using linear regression.