Varroa Mite Detection in Drone Pupa Images Using Template Matching

Abstract

Shortage of honeybees has become a serious problem in recent years. One of the causes of bee shortage is Varroa mites, which are parasitic on honeybees. The monitoring of Varroa mite parasitism is performed manually, therefore, it takes time and efforts. In addition, the accuracy varies depending on the inspector and the environment. In this paper, we report on an image-processing approach for detecting Varroa mites. We detect mites in images of drone pupae which are taken out from drone frames. Our method uses the template matching and several thresholds.