Kangwon National University professor develops 1st AI detector for bee mites

A research team led by Mo Chang-yeon, professor at Kangwon National University's Bio System Engineering Department, developed the world's first artificial intelligence (AI)-powered device to detect varroa mites, in collaboration with the Rural Development Administration (RDA). Varroa mites are parasitic pests that attack and feed on honeybees inside the hive, causing developmental damage and transmitting deadly viruses. They are considered the most destructive pest threatening honeybees worldwide and are recognized as the leading cause of mass honeybee die-offs during winters. The device, BeeSion, analyzes videos of hive frames using AI to find varroa mites in real time. Varroa mite control is extremely difficult, since the pests reside inside hives and are hard to detect, especially during summer. While traditional methods require over 30 minutes to inspect a single hive, BeeSion only takes about 30 seconds per frame and has an accuracy rate of 97.8 percent. The device can also simultaneously detect 16 other types of bee diseases and abnormalities, including chalkbrood infection, wing dWeiter zum vollständigen Artikel bei Korea Times Weiter zum vollständigen Artikel bei Korea Times