Real-Time Beehive Monitoring and Control for Precision Beekeeping Using IoT

Öz

Climate change, pathogen-induced environmental impacts, pesticide use, habitat loss, and industrial agriculture are leading to a significant decline in biological diversity. These disruptions adversely affect ecological balance and have resulted in the decline of wild pollinators and honeybees, which play a vital role in natural ecosystems. Consequently, beekeeping has also come under threat, as honeybees are among the most important pollinator insects in nature. With advancements in technology, wireless sensor networks now widely used across various domains have also begun to be implemented for remote monitoring of beehives. Through these remote monitoring systems, the continuous observation of hive conditions has become possible.This study aims to develop a hive monitoring system that enables the real-time, remote observation of honeybee colonies via a wireless sensor network in order to prevent colony losses and enhance honey production. The proposed system consists of locally placed sensors positioned at different points within the hive to measure temperature, relative humidity, and comb weight, as well as a cloud server where all collected data are stored. In addition, the system incorporates software and a web-based platform capable of performing data analysis and enabling operations on the database for real-time monitoring of hive parameters. Users of the developed web system can access and analyze the collected data. Real-time monitoring of temperature and humidity inside the hive will provide beekeepers with valuable insights into the health and environmental conditions of their colonies. Ultimately, this system will support beekeepers, the apiculture industry, and the agricultural sector by contributing to emerging apicultural technologies and addressing the urgent need to mitigate honeybee colony collapse. The system was operated with an average data sampling interval of 2 seconds over a 48-hour test period, during which hive temperature was maintained within ±0.4 °C and humidity within ±3 % RH. These quantitative findings demonstrate the effectiveness of the proposed system in achieving stable real-time monitoring and control.

Anahtar Kelimeler

• Hive monitoring
• Internet of Things (IoT)
• Sensor
• Honeybee
• Real-time monitoring
• Cloud-based system

Kaynakça

1. [1] P. Cousin, E. Cauia, A. Siceanu, and J. de Cledat, “The development of an efficient system to monitor the honeybee colonies depopulations,” Global IoT Summit, GIoTS 2019 - Proceedings, Jun. 2019, doi:10.1109/GIOTS.2019.8766435.
2. [2] D. Naug, “Nutritional stress due to habitat loss may explain recent honeybee colony collapses,” Biological Conservation, vol. 142, no. 10, pp. 2369–2372, Oct. 2009, https://doi.org/10.1016/j.biocon.2009.04.007.
3. [3] O. Rollin et al., “Weed-insect pollinator networks as bio-indicators of ecological sustainability in agriculture. A review,” Agronomy for Sustainable Development 2016 36:1, vol. 36, no. 1, pp. 1–22, Jan. 2016, doi: 10.1007/s13593- 015-0342-x.
4. [4] M. Murúa, “Different Pollinators’ Functional Traits Can Explain Pollen Load in Two Solitary Oil-Collecting Bees,” Insects 2020, Vol. 11, Page 685, vol. 11, no. 10, p. 685, Oct. 2020, doi: 10.3390/insects11100685.
5. [5] “Internet of Things | SpringerLink.” https://link.springer.com/article/10.1007/s12599-015-0383-3 (accessed May 23, (2022).
6. [6] F. Wortmann and K. Flüchter, “Internet of Things: Technology and Value Added,” Business and Information Systems Engineering, vol. 57, no. 3, pp. 221–224, Jun. 2015, doi:10.1007/s12599-015-0383-3.
7. [7] E. Callaway et al., “Home networking with IEEE 802.15.4: A developing standard for low-rate wireless personal area networks,” IEEE Communications Magazine, vol. 40, no. 8, pp. 70–77, Aug. 2002, doi: 10.1109/MCOM.2002.1024418.
8. [8] H. Hadjur, D. Ammar, and L. Lefèvre, “Toward an intelligent and efficient beehive: A survey of precision beekeeping systems and services,” Computers and Electronics in Agriculture, vol. 192, p. 106604, Jan. 2022, doi: 10.1016/j.compag.2021.106604.

9. [9] A. Kviesis, V. Komasilovs, O. Komasilova, and A. Zacepins, “Application of fuzzy logic for honey bee colony state detection based on temperature data,” Biosystems Engineering, vol. 193, pp. 90–100, May 2020, doi: 10.1016/j.biosystemseng.2020.02.010.
10. [10] W. G. Meikle and N. Holst, “Application of continuous monitoring of honeybee colonies,” Apidologie, vol. 46, no. 1, pp. 10–22, Jan. 2015, doi: 10.1007/s13592-014-0298-x.
11. [11] S. Cecchi, S. Spinsante, A. Terenzi, and S. Orcioni, “A Smart Sensor-Based Measurement System for Advanced Bee Hive Monitoring,” Sensors 2020, Vol. 20, Page 2726, vol. 20, no. 9, p. 2726, May 2020, doi: 10.3390/s20092726.
12. [12] “MUS-Tracker: An IoT Based System in Controlling and Monitoring of Beehives”, doi: 10.30534/ijeter/2020/23862020.
13. [13] S. Kontogiannis, “An Internet of Things-Based Low-Power Integrated Beekeeping Safety and Conditions Monitoring System,” Inventions 2019, Vol. 4, Page 52, vol. 4, no. 3, p. 52, Sep. 2019, doi: 10.3390/inventions4030052.
14. [14] K. Nisar, A. A. A. Ibrahim, L. Wu, A. Adamov, and M. J. Deen, “Smart home for elderly living using Wireless Sensor Networks and an Android application,” Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings, Jul. 2017, doi: 10.1109/ICAICT.2016.7991655.
15. [15] C. Yang, D. Puthal, S. P. Mohanty, and E. Kougianos, “Big-Sensing-Data Curation for the Cloud is Coming: A Promise of Scalable Cloud-Data-Center Mitigation for Next-Generation IoT and Wireless Sensor Networks,” IEEE Consumer Electronics Magazine, vol. 6, no. 4, pp. 48–56, Oct. 2017, doi: 10.1109/MCE.2017.2714695.
16. [16] D. Reiser, D. S. Paraforos, M. T. Khan, H. W. Griepentrog, and M. Vázquez-Arellano, “Autonomous field navigation, data acquisition and node location in wireless sensor networks,” Precision Agriculture, vol. 18, no. 3, pp. 279–292, Jun. 201, doi:10.1109/PERCOMW.2006.13.
17. [17] V. X. Thai, G. C. Jang, S. Y. Jeong, J. H. Park, Y. S. Kim, and C. T. Rim, “Symmetric Sensing Coil Design for the Blind-Zone Free Metal Object Detection of a Stationary Wireless Electric Vehicles Charger,” IEEE Transactions on Power Electronics, vol. 35, no. 4, pp. 3466–3477, Apr. 2020, doi: 10.1109/TPEL.2019.2936249.
18. [18] M. Man, W. A. W. A. Bakar, and M. A. B. B. A. Razak, “An Intelligent Stingless Bee System with Embedded IOT Technology,” International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 3, pp. 264–269, Sep. 2019, doi: 10.35940/ijrte.C4124.098319.
19. [19] S. Gil-Lebrero, F. J. Quiles-Latorre, M. Ortiz-López, V. Sánchez-Ruiz, V. Gámiz-López, and J. J. Luna-Rodríguez, “Honey Bee Colonies Remote Monitoring System,” Sensors, vol. 17, no. 1, p. 55, Dec. 2016, doi: 10.3390/s17010055.
20. [20] P. Neumann and N. L. Carreck. “Honey bee colony losses,” Journal of apicultural research, vol. 49, no. 1, pp. 1-6, 2010, doi: 10.3896/IBRA.1.49.1.01.