Towards Varroa destructor mite detection using a narrow spectra illumination

--This paper focuses on the development and modification of a beehive monitoring device and V arroa 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. Bees are one of the most important creatures in the world, so humanity has to protect them. One of the bee diseases is varroosis, which is caused by V arroa destructor . Overpopulation of this mite in beehive can ruin a whole beehive.