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Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach
Abstract
In this article, an advanced environmental monitoring and management automation system, developed using the Raspberry Pi Pico microcontroller and capable of real-time processing of data from multiple sensors, is presented. The designed system is able to conduct detailed analyses of energy consumption and through integrated dynamic alert mechanisms, can automatically respond to critical situations. Additionally, the system possesses the capacity to maintain uninterrupted operation during extraordinary circumstances such as power outages or internet disconnections, thanks to its internal power supply and data backup features. Adopting a novel approach, the physical design of the device has been optimized for production via 3D printing, enabling individual users or small-scale manufacturers to implement this automation solution cost-effectively and flexibly. This study aims to address gaps in the current literature by offering a comprehensive and practical example of an environmental monitoring automation system, thereby bridging the gap between theoretical frameworks and real-world applications.
Keywords
Ethical Statement
Ethics committee approval was not required for this study because of there was no study on animals or humans.
References
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Details
Primary Language
English
Subjects
Network Engineering, Wireless Communication Systems and Technologies (Incl. Microwave and Millimetrewave), Data Communications
Journal Section
Research Article
Early Pub Date
November 12, 2025
Publication Date
November 15, 2025
Submission Date
July 11, 2025
Acceptance Date
August 20, 2025
Published in Issue
Year 2025 Volume: 8 Number: 6
APA
Ağgün, F., & Sime, R. (2025). Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach. Black Sea Journal of Engineering and Science, 8(6), 1689-1696. https://doi.org/10.34248/bsengineering.1739993
AMA
1.Ağgün F, Sime R. Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach. BSJ Eng. Sci. 2025;8(6):1689-1696. doi:10.34248/bsengineering.1739993
Chicago
Ağgün, Fikri, and Raif Sime. 2025. “Raspberry Pi Pico Based Environmental Monitoring With an Advanced Approach”. Black Sea Journal of Engineering and Science 8 (6): 1689-96. https://doi.org/10.34248/bsengineering.1739993.
EndNote
Ağgün F, Sime R (November 1, 2025) Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach. Black Sea Journal of Engineering and Science 8 6 1689–1696.
IEEE
[1]F. Ağgün and R. Sime, “Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach”, BSJ Eng. Sci., vol. 8, no. 6, pp. 1689–1696, Nov. 2025, doi: 10.34248/bsengineering.1739993.
ISNAD
Ağgün, Fikri - Sime, Raif. “Raspberry Pi Pico Based Environmental Monitoring With an Advanced Approach”. Black Sea Journal of Engineering and Science 8/6 (November 1, 2025): 1689-1696. https://doi.org/10.34248/bsengineering.1739993.
JAMA
1.Ağgün F, Sime R. Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach. BSJ Eng. Sci. 2025;8:1689–1696.
MLA
Ağgün, Fikri, and Raif Sime. “Raspberry Pi Pico Based Environmental Monitoring With an Advanced Approach”. Black Sea Journal of Engineering and Science, vol. 8, no. 6, Nov. 2025, pp. 1689-96, doi:10.34248/bsengineering.1739993.
Vancouver
1.Fikri Ağgün, Raif Sime. Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach. BSJ Eng. Sci. 2025 Nov. 1;8(6):1689-96. doi:10.34248/bsengineering.1739993