Non-Invasive Hardware for Remote Sensing of Bee Colonies
Abstract
Monitoring the status of bee colonies is fundamental for precision beekeeping and stingless beekeeping. Typically, this task is carried out manually, requiring the presence of a professional to assess the colonies’ condition. In this article, we propose an affordable and non-invasive hardware for remote sensing of beehives. The proposed hardware includes sensors for weight, temperature, and humidity both inside and outside the hive, controlled by an Arduino microcontroller that operates in conjunction with a LoRa module for transmitting data to a gateway, enabling remote and real-time analysis of colony status.References
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Braga, A. R., Gomes, D. G., Rogers, R., Hassler, E. E., Freitas, B. M., and Cazier, J. A. (2020). A method for mining combined data from in-hive sensors, weather and apiary inspections to forecast the health status of honey bee colonies. Computers and Electronics in Agriculture, 169:105161.
Maciel, F. A. O., Braga, A. R., da Silva, T. L. C., Freitas, B. M., and Gomes, D. G. (2018). Reconhecimento de padrões sazonais em colônias de abelhas apis mellifera via clusterização. Revista Brasileira de Computação Aplicada, 10(3):74–88.
Sponsler, D. B., Grozinger, C. M., Hitaj, C., Rundlöf, M., Botías, C., Code, A., Lonsdorf, E. V., Melathopoulos, A. P., Smith, D. J., Suryanarayanan, S., et al. (2019). Pesticides and pollinators: A socioecological synthesis. Science of the Total Environment, 662:1012–1027.
Ziegler, C., Ueda, R. M., Sinigaglia, T., Kreimeier, F., and Souza, A. M. (2022). Correlation of climatic factors with the weight of an apis mellifera beehive. Sustainability, 14(9):5302.
Published
2024-07-21
How to Cite
SANTOS, Felipe J.; MENDES, Yuri C.; MOTA, Davi F. M.; COELHO, Alexandre A. P.; GOMES, Danielo G..
Non-Invasive Hardware for Remote Sensing of Bee Colonies. In: WORKSHOP ON COMPUTING APPLIED TO THE MANAGEMENT OF THE ENVIRONMENT AND NATURAL RESOURCES (WCAMA), 15. , 2024, Brasília/DF.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 207-210.
ISSN 2595-6124.
DOI: https://doi.org/10.5753/wcama.2024.3021.
