Abstract
A honey bee queen plays a vital role in a bee colony. Thus, locating it in a beehive frame is one of the important tasks performed by the beekeepers. However, searching for the queen bee with the naked eye is time consuming and its effectiveness largely depends on the visual acuity of the beekeeper. Therefore, we propose two methods to automate this task using machine learning techniques. One of them is deep learning-based while the other is based on a classical method. We evaluated both methods and the obtained results are promising and highlight their efficiency.
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Marquis, MP., Yaddaden, Y., Adda, M., Gingras, G., Corriveau-Ctôé, M. (2022). Automatic Honey Bee Queen Presence Detection on Beehive Frames Using Machine Learning. In: Mahyuddin, N.M., Mat Noor, N.R., Mat Sakim, H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_125
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DOI: https://doi.org/10.1007/978-981-16-8129-5_125
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