Research Article

Raspberry Pi Pico Based Environmental Monitoring with an Advanced Approach

Volume: 8 Number: 6 November 15, 2025
TR EN

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

  1. Alahakoon D, Yu X. 2016. Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey. IEEE Trans Ind Inform, 12(1): 425-436.
  2. Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M. 2015. Internet of Things: A Survey on Enabling Technologies, Protocols and Applications. IEEE Commun Surv Tutor, 17(4): 2347-2376.
  3. Centenaro M, Vangelista L, Zanella A, Zorzi M. 2016. Long-range communications in unlicensed bands: The rising stars in the IoT and smart city scenarios. IEEE Wirel Commun, 23(5): 60-67.
  4. Deshmukh AD, Shinde UB. 2016. A low cost environment monitoring system using raspberry pi and Arduino with Zigbee. In: Proceedings of the International Conference on Inventive Computation Technologies (ICICT 2016), pp: 1-6.
  5. Ford S, Despeisse M. 2016. Additive manufacturing and sustainability: an exploratory study of the advantages and challenges. J Clean Prod, 137: 1573-1587.
  6. Gedik E, Togay A, Çoşkun M, Demirhan E. 2018. Investigation of the usage possibilities of three-dimensional printing in product design in furniture industry. Int J 3D Print Technol Digit Ind, 2(2): 16-25.
  7. Geng X, Zhang Q, Wei Q, Zhang T, Cai Y, Liang Y, Sun X. 2019. A mobile greenhouse environment monitoring system based on the internet of things. IEEE Access, 7: 135832-135844.
  8. Gubbi J, Buyya R, Marusic S, Palaniswami M. 2013. Internet of Things (IoT): A vision, architectural elements, and future directions. Future Gener Comput Syst, 29(7): 1645-1660.

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

                            24890