Ganga River Water Assessment Using Deep Neural Network: A Study
Chunnu Lal, Satender Kumar
Abstract
In this study, we find that two types of studies available on Ganga River Water Quality Forecasting based on Neural Networks. One Study based on Remote Sensing (RS), In which Water Quality Parameters (WQPs) are calculated from satellite images. Another Study based on WQPs collected by laboratories or stations established by Government of different states in India. We will provide the detail analysis of these two types of studies & their finding till now available in various research papers. Research will be continuing in the field of Deep Learning (DL) and Machine Learning (ML), many different ML &DL systems are available currently. Based on the findings of this study we establish a Method for effective assessment of Water Quality.