Authors :
Anjali Shiwankar; Kauleshwar Prasad; Monika Verma
Volume/Issue :
Volume 8 - 2023, Issue 1 - January
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3Y6BgHF
DOI :
https://doi.org/10.5281/zenodo.7578289
Abstract :
With escalating population in India, fresh water
management is very much crucial which demands an
increase in agricultural, industrial and other requisites. A
clean and sterling supply of water is necessary to ensure
high quality of life and strong economy. Many measures
have been taken to improve the quality of water in many
areas. Many IOT based water quality monitoring systems
has been made developed by using different IOT sensors to
know the quality of water on the basis of different
parameters. These parameters include pH value, TDS,
turbidity, heavy metals, oxygen content and many more.
This paper gives an overview of those works where Internet
of Things sensors are being used along with different
machine learning method and cloud storages to check the
contamination of water and store the data in clouds.
Keywords :
Water quality, pH, TDS, Turbidity, IOT sensors, Temperature, Humidity.
With escalating population in India, fresh water
management is very much crucial which demands an
increase in agricultural, industrial and other requisites. A
clean and sterling supply of water is necessary to ensure
high quality of life and strong economy. Many measures
have been taken to improve the quality of water in many
areas. Many IOT based water quality monitoring systems
has been made developed by using different IOT sensors to
know the quality of water on the basis of different
parameters. These parameters include pH value, TDS,
turbidity, heavy metals, oxygen content and many more.
This paper gives an overview of those works where Internet
of Things sensors are being used along with different
machine learning method and cloud storages to check the
contamination of water and store the data in clouds.
Keywords :
Water quality, pH, TDS, Turbidity, IOT sensors, Temperature, Humidity.