Publication Date: 2023/07/06
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.
DOI: https://doi.org/10.5281/zenodo.8118729
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23JUN1696.pdf
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