Authors :
Nagarathna H S (Asst. Professor); Ashwini HK; Bhavana T; Chaithra HG4; Haripriya R.
Volume/Issue :
Volume 8 - 2023, Issue 6 - June
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/2z2zrfs6
DOI :
https://doi.org/10.5281/zenodo.8118729
Abstract :
The enormous growth with the pollution and
the pollution in the environment which leads to the
modification or updating with many times. This effects to
reduce the growth of the individual with their health and
nature facts directly. Using the structural, hierarchical
and fuzzy algorithms we can analyze the air quality
automatically with the satisfactory of excellence and
average with the large amount and large area occupation
systems which are not perfect for the large scale
installation. On finding the embedded system in the view
of security for environment this logic brings a real-time
monitoring the air pollution system. From this system we
can reduce the cost upto half a head.it can used for large
mesh network. Along with the role of renewable
monitoring system, it can improve a purpose of trend in
case of the system for the analysis of the output obtained
by the embedded model. Afterwards ,logs of data is fetch
from cloud platform is used to varoius ML algorithm for
accurate output of the sensing values.
Keywords :
Monitoring Air Pollution, Embedded System, IOT , Machine Learning.
The enormous growth with the pollution and
the pollution in the environment which leads to the
modification or updating with many times. This effects to
reduce the growth of the individual with their health and
nature facts directly. Using the structural, hierarchical
and fuzzy algorithms we can analyze the air quality
automatically with the satisfactory of excellence and
average with the large amount and large area occupation
systems which are not perfect for the large scale
installation. On finding the embedded system in the view
of security for environment this logic brings a real-time
monitoring the air pollution system. From this system we
can reduce the cost upto half a head.it can used for large
mesh network. Along with the role of renewable
monitoring system, it can improve a purpose of trend in
case of the system for the analysis of the output obtained
by the embedded model. Afterwards ,logs of data is fetch
from cloud platform is used to varoius ML algorithm for
accurate output of the sensing values.
Keywords :
Monitoring Air Pollution, Embedded System, IOT , Machine Learning.
