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River Water Assessment and Prediction Modelling

EasyChair Preprint no. 3101

5 pagesDate: April 2, 2020


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

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Visnu Darshini and Manu Satwik and Prudhvi Tallam and Harshith Suresh},
  title = {River Water Assessment and Prediction Modelling},
  howpublished = {EasyChair Preprint no. 3101},

  year = {EasyChair, 2020}}
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