River Water Assessment and Prediction Modelling

EasyChair Preprint 3101

Abstract

This is a sensor based water quality monitoring system. It is a wireless sensor network which includes a raspberry pie for processing the system and various sensors like pH, turbidity, temperature, conductivity. Internet of things acts as a query to response service and remote communication technology in sending and receiving the data. Using k-means clustering a machine learning algorithm which helps in measuring large amounts of data and comparing the data with the standard values. Any fluctuations in the data with the recorded values will notify the system. The information is monitored constantly and consigned to a cloud. Therefore this system immensely helps in assessing the quality of contaminated water with prediction modelling.

Keyphrases: Internet of Things, K-means clustering, assessing prediction modelling

@booklet{EasyChair:3101,
  author    = {Visnu Darshini and Manu Satwik and Prudhvi Tallam and Harshith Suresh},
  title     = {River Water Assessment and Prediction Modelling},
  howpublished = {EasyChair Preprint 3101},
  year      = {EasyChair, 2020}}