# Towards Varroa destructor mite detection using a narrow spectra illumination

arXiv: https://arxiv.org/abs/2504.06099 · HTML: https://mlsanity.com/paper/2504.06099/

## 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.

## Builds on (most cited first, 2 of 2)

- [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://mlsanity.com/paper/1505.04597/) (2015)
- [Varroa destructor detection on honey bees using hyperspectral imagery](https://mlsanity.com/paper/2403.14359/) (2024)

## 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.