ABSTRACT
Water quality measurement is vital now days to identify the useful resource present in the globe and utilize the resource properly. In the existing system, a hardware-based approach is evaluated in which only a part of the implementation is developed using embedded sensors. The sensor will detect the water quality and convey the same into the communication channels which is transmitted into the IOT platform. Our new system focused mainly on improvising the existing system by including high quality PH sensor, turbidity sensor and conductivity sensor. As an advancement of the system, a MATLAB based analysis model is extended. With MATLAB, you can integrate results into your existing applications. The live data which is measured is analyzed with the dataset of various locations and their resources. Different techniques like Neural Network, Deep Learning also Machine Learning techniques that learn directly from input data. The compared analysis provides the useful resource available locations in the globe. The proposed system detects the location and the live data of PH value of the water and other conductivity, Turbidity is displayed in the Thing Speak platform.
