Open AccessAnalysis of air quality using IoT with machine learning prediction
Author(s) -
T. Shanmugaraja,
M. Sakthivel,
R Shaila Shree,
P Sooraj,
K Vishnu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012188
Subject(s) - spillage , computer science , cloud computing , set (abstract data type) , globe , internet of things , field (mathematics) , quality (philosophy) , simplicity , computer security , data science , risk analysis (engineering) , engineering , business , mathematics , waste management , pure mathematics , ophthalmology , programming language , medicine , philosophy , epistemology , operating system
The Think speak technology is a dynamic field that seeks to engage ‘matters,’ human beings, and machines as whole and, making them a necessary part of the world wide web. The complete society is shifting toward industrialization and computerization, which may result in substantial environmental pollution. Deciding the air best is a top need of great importance. This paper offers the improvement of contamination global positioning frameworks with the organization of astute sensors. Checking the gas spillage stage from any piece of the globe can be finished by methods for a combination of enormous records to the Google Cloud through the networkers. Examination of the realities is improved accordingly permitting simplicity of following. Alarms might be caused if there should arise an occurrence of uncommon decay of air decent. The proposed approach discovers application in industry and also in the checking of brought about by like a fan, engines. This strategy utilizing the proposed framework is data set transferred to at long last pc and AI.