# Towards Varroa destructor mite detection using a narrow spectra illumination

Source: [Towards Varroa destructor mite detection using a narrow spectra illumination](<https://www.sota2.com/research/paper/68fa77db1e209131cea759c1>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T04:27:29.052Z

Authors: Samuel Bielik, Simon Bilik

Published: 2025-04-08T14:41:42.000Z

## 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.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2504.06099>)

[PDF](<https://arxiv.org/pdf/2504.06099.pdf>)