Artificial Intelligence Based Air Quality Prediction Using IoT Sensor Data

Deniz Özer; Bekir Aksoy; Koray Özsoy; Hilmi Cenk Bayrakçı

doi:10.31127/tuje.1808569

Artificial Intelligence Based Air Quality Prediction Using IoT Sensor Data

Abstract

Continuous air quality monitoring is important for protecting human health and ensuring environmental sustainability. Recent advances in sensor technologies, the Internet of Things (IoT) and artificial intelligence have led to innovative solutions that allow environmental parameters to be monitored and analyzed in real time. For this study, an IoT-based data collection system was designed that integrates environmental sensors to record meteorological data such as temperature, humidity and precipitation, as well as a gas sensor which is sensitive to a range of pollutants such as carbon monoxide (CO), nitrogen oxides (NOx), and ozone(O3). Based on the ESP32 microcontroller platform, the system has been used to create artificial intelligence models that can predict air quality with high accuracy. The main objective of this research is to evaluate the extent to which the developed models can successfully predict complex environmental relationships.

Keywords

References

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Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Deniz Özer
0009-0008-0805-7518
Türkiye

Bekir Aksoy ^*
0000-0001-8052-9411
Türkiye

Koray Özsoy
0000-0001-8663-4466
Türkiye

Hilmi Cenk Bayrakçı
0000-0001-5064-7310
Türkiye

Publication Date

May 1, 2026

Submission Date

October 22, 2025

Acceptance Date

December 1, 2025

Published in Issue

Year 2026 Volume: 10 Number: 2

DOI

https://doi.org/10.31127/tuje.1808569

IZ

https://izlik.org/JA65DL45SK

Cite

RIS / Bibtex

APA

Özer, D., Aksoy, B., Özsoy, K., & Bayrakçı, H. C. (2026). Artificial Intelligence Based Air Quality Prediction Using IoT Sensor Data. Turkish Journal of Engineering, 10(2), 436-449. https://doi.org/10.31127/tuje.1808569

AMA

1.Özer D, Aksoy B, Özsoy K, Bayrakçı HC. Artificial Intelligence Based Air Quality Prediction Using IoT Sensor Data. TUJE. 2026;10(2):436-449. doi:10.31127/tuje.1808569

Chicago

Özer, Deniz, Bekir Aksoy, Koray Özsoy, and Hilmi Cenk Bayrakçı. 2026. “Artificial Intelligence Based Air Quality Prediction Using IoT Sensor Data”. Turkish Journal of Engineering 10 (2): 436-49. https://doi.org/10.31127/tuje.1808569.

EndNote

Özer D, Aksoy B, Özsoy K, Bayrakçı HC (May 1, 2026) Artificial Intelligence Based Air Quality Prediction Using IoT Sensor Data. Turkish Journal of Engineering 10 2 436–449.

IEEE

[1]D. Özer, B. Aksoy, K. Özsoy, and H. C. Bayrakçı, “Artificial Intelligence Based Air Quality Prediction Using IoT Sensor Data”, TUJE, vol. 10, no. 2, pp. 436–449, May 2026, doi: 10.31127/tuje.1808569.

ISNAD

Özer, Deniz - Aksoy, Bekir - Özsoy, Koray - Bayrakçı, Hilmi Cenk. “Artificial Intelligence Based Air Quality Prediction Using IoT Sensor Data”. Turkish Journal of Engineering 10/2 (May 1, 2026): 436-449. https://doi.org/10.31127/tuje.1808569.

JAMA

1.Özer D, Aksoy B, Özsoy K, Bayrakçı HC. Artificial Intelligence Based Air Quality Prediction Using IoT Sensor Data. TUJE. 2026;10:436–449.

MLA

Özer, Deniz, et al. “Artificial Intelligence Based Air Quality Prediction Using IoT Sensor Data”. Turkish Journal of Engineering, vol. 10, no. 2, May 2026, pp. 436-49, doi:10.31127/tuje.1808569.

Vancouver

1.Deniz Özer, Bekir Aksoy, Koray Özsoy, Hilmi Cenk Bayrakçı. Artificial Intelligence Based Air Quality Prediction Using IoT Sensor Data. TUJE. 2026 May 1;10(2):436-49. doi:10.31127/tuje.1808569