IoT Based Air Quality Prediction System
Abstract & Details
Research Area
Information Technology
Keywords
Air quality monitoring
Machine learning
Air quality index.
Abstract
Internet of Things (IoT) may be a worldwide system of “smart devices” which will communicate with users, interact with environment, and detect their surroundings. We live in an era that is plagues by global air pollution. There are several things that have led to an increase in pollution with the passage of time, such as a rise in vehicle use, industrialization and urbanization, which can negatively affect human health.
When elements like Carbon Dioxide, smoke, alcohol, Benzene, NH3 and NO2 are present in enough amount, the quality of the air rapidly goes down. For the purpose of analysing, we are developing an IoT Based Air Quality Prediction System which will help in detecting the quality of the air by making use of internet servers. The system currently exists have inadequate precision, low sensitivity and requires analysis from the laboratory.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Prof. Ashok Kalal | Anantrao Pawar College of Engineering and Research, Parvati, Pune. |
| 2 | Ruturaj Bhosale | Anantrao Pawar College of Engineering and Research, Parvati, Pune. |
| 3 | Nisha Rodge | Anantrao Pawar College of Engineering and Research, Parvati, Pune. |
| 4 | Shreyas Sutar | Anantrao Pawar College of Engineering and Research, Parvati, Pune. |
| 5 | Onkar Vaidya | Anantrao Pawar College of Engineering and Research, Parvati, Pune. |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Kalal, Prof. Ashok, Bhosale, Ruturaj, Rodge, Nisha, Sutar, Shreyas, & Vaidya, Onkar (2023). IoT Based Air Quality Prediction System. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 2291-2297.
MLA Style
Kalal, Prof. Ashok, et al. "IoT Based Air Quality Prediction System." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 2291-2297.
IEEE Style
Prof. Ashok Kalal, Ruturaj Bhosale, Nisha Rodge, Shreyas Sutar, and Onkar Vaidya, "IoT Based Air Quality Prediction System," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 2291-2297, 2023.
Vancouver Style
Kalal Prof. Ashok, Bhosale Ruturaj, Rodge Nisha, Sutar Shreyas, Vaidya Onkar. IoT Based Air Quality Prediction System. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):2291-2297.
Harvard Style
Kalal, Prof. Ashok, Bhosale, Ruturaj, Rodge, Nisha, Sutar, Shreyas, & Vaidya, Onkar (2023) 'IoT Based Air Quality Prediction System', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 2291-2297.
Chicago Style
Kalal, Prof. Ashok, et al. "IoT Based Air Quality Prediction System." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 2291-2297.
Turabian Style
Kalal, Prof. Ashok, et al. "IoT Based Air Quality Prediction System." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 2291-2297.
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