An Iot Based System for Water Quality Monitoring

Authors(5) :-Prof. Priti Badar, Bharati, M. Shilpa, Harsha Menda P, Aaina Venkateswaran

Water pollution is one of the biggest fears for the green globalization. To prevent the water pollution, first we must estimate the water parameters like pH, turbidity, conductivity etc., as the variations in the values of these parameters point towards the presence of pollutants. The water quality monitoring system is designed for remote river water testing and detection of pollutants. This paper gives review about various methods of water quality monitoring systems.

Authors and Affiliations

Prof. Priti Badar
ISE Department, New Horizon College of Engineering, Bengaluru, Karnataka, India
Bharati
ISE Department, New Horizon College of Engineering, Bengaluru, Karnataka, India
M. Shilpa
ISE Department, New Horizon College of Engineering, Bengaluru, Karnataka, India
Harsha Menda P
ISE Department, New Horizon College of Engineering, Bengaluru, Karnataka, India
Aaina Venkateswaran
ISE Department, New Horizon College of Engineering, Bengaluru, Karnataka, India

Sensors, GSM, Microcontroller, PC, Software, ZigBee, Image processing.

  1. Aravinda S. Rao, Stephen Martial, Jayavardhana Gubbi, Marimuthu Palani Swami Design of low-cost autonomous water quality monitoring system,  2013 IEEE
  2. Cheng-Liang Lai, Chien-Lun Chiu Using image processing technology for water quality monitoring system, 2011 IEEE
  3. Niel Andre Cleote, Reza Malekian and Lakshmi Nair Design of smart sensors for real-time water quality monitoring, 2016 IEEE

Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 367-368
Manuscript Number : CSEIT172343
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Prof. Priti Badar, Bharati, M. Shilpa, Harsha Menda P, Aaina Venkateswaran, "An Iot Based System for Water Quality Monitoring", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.367-368, May-June-2017.
Journal URL : http://ijsrcseit.com/CSEIT172343

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