Towards Varroa destructor mite detection using a narrow spectra illumination

Samuel Bielik, Simon Bilik
4/8/2025
cs.CVcs.AIcs.LG

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Abstract

This paper focuses on the development and modification of a beehive monitoring device and Varroa destructor detection on the bees with the help of hyperspectral imagery while utilizing a U-net, semantic segmentation architecture, and conventional computer vision methods. The main objectives were to collect a dataset of bees and mites, and propose the computer vision model which can achieve the detection between bees and mites.

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@article{bielik2025towards,
  title  = {Towards Varroa destructor mite detection using a narrow spectra illumination},
  author = {Samuel Bielik and Simon Bilik},
  year   = {2025},
  eprint = {2504.06099},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2504.06099v1}
}

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