IoT Based Ground Water Monitoring System with Cloud-Based Monitoring using Machine Learning

The vaticination of groundwater position is important for the use and operation of groundwater coffers. In this paper, the artificial neural networks (ANN) were used to prognosticate groundwater position in the mohanlalganj of lucknow in India. The first step was an bus-correlation analysis of the groundwater position which showed that the yearly groundwater position was time dependent. An bus- retrogression type ANN (ARANN) model and a retrogression- busretrogression type ANN (RARANN)