Towards Varroa destructor mite detection using a narrow spectra illumination
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 4 references that are in the map. First posted on arXiv 8 Apr 2025.
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References · 2
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
- 2024Varroa destructor detection on honey bees using hyperspectral imagerycited by 2
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