@article{ART003130969},
author={Yongsun Lee and Hyunsu Cho and Bo-Young Kim and Jihoon Moon},
title={A YOLOv8-Based Two-Stage Framework for Non-Destructive Detection of Varroa destructor Infestations in Apis mellifera Colonies},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={10},
pages={137-148}
TY - JOUR
AU - Yongsun Lee
AU - Hyunsu Cho
AU - Bo-Young Kim
AU - Jihoon Moon
TI - A YOLOv8-Based Two-Stage Framework for Non-Destructive Detection of Varroa destructor Infestations in Apis mellifera Colonies
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 10
PB - The Korean Society Of Computer And Information
SP - 137
EP - 148
SN - 1598-849X
AB - The European honeybee (Apis mellifera) is an important pollinator threatened by colony collapse disorder (CCD), primarily due to infestation by the Varroa mite (Varroa destructor). Traditional detection methods are invasive and time-consuming, often causing additional stress to colonies. We propose a two-stage framework using the You Only Look Once version 8 (YOLOv8) model for non-destructive and rapid detection of Varroa mite infestation. The framework uses comb light images from inside the hives. In the first stage, a YOLOv8-n model detects bees and extracts individual bee images. In the second stage, a YOLOv8-cls model classifies the infestation status of each bee. Our object detection model achieved a mAP@0.5 of 0.701, and the classification model achieved an average accuracy of 91%. These results demonstrate the effectiveness of the framework as a non-destructive method for Varroa mite detection. Based on this research, we expect to provide beekeepers with an efficient tool for early detection and management of Varroa mite infestations, potentially reducing the incidence of CCD and supporting the sustainability of apiculture.
KW - Small Object Detection;Smart Beekeeping;Colony Collapse Disorder (CCD);YOLOv8;Varroa destructor;Non-Destructive Inspection
DO -
UR -
ER -
Yongsun Lee, Hyunsu Cho, Bo-Young Kim and Jihoon Moon. (2024). A YOLOv8-Based Two-Stage Framework for Non-Destructive Detection of Varroa destructor Infestations in Apis mellifera Colonies. Journal of The Korea Society of Computer and Information, 29(10), 137-148.
Yongsun Lee, Hyunsu Cho, Bo-Young Kim and Jihoon Moon. 2024, "A YOLOv8-Based Two-Stage Framework for Non-Destructive Detection of Varroa destructor Infestations in Apis mellifera Colonies", Journal of The Korea Society of Computer and Information, vol.29, no.10 pp.137-148.
Yongsun Lee, Hyunsu Cho, Bo-Young Kim, Jihoon Moon "A YOLOv8-Based Two-Stage Framework for Non-Destructive Detection of Varroa destructor Infestations in Apis mellifera Colonies" Journal of The Korea Society of Computer and Information 29.10 pp.137-148 (2024) : 137.
Yongsun Lee, Hyunsu Cho, Bo-Young Kim, Jihoon Moon. A YOLOv8-Based Two-Stage Framework for Non-Destructive Detection of Varroa destructor Infestations in Apis mellifera Colonies. 2024; 29(10), 137-148.
Yongsun Lee, Hyunsu Cho, Bo-Young Kim and Jihoon Moon. "A YOLOv8-Based Two-Stage Framework for Non-Destructive Detection of Varroa destructor Infestations in Apis mellifera Colonies" Journal of The Korea Society of Computer and Information 29, no.10 (2024) : 137-148.
Yongsun Lee; Hyunsu Cho; Bo-Young Kim; Jihoon Moon. A YOLOv8-Based Two-Stage Framework for Non-Destructive Detection of Varroa destructor Infestations in Apis mellifera Colonies. Journal of The Korea Society of Computer and Information, 29(10), 137-148.
Yongsun Lee; Hyunsu Cho; Bo-Young Kim; Jihoon Moon. A YOLOv8-Based Two-Stage Framework for Non-Destructive Detection of Varroa destructor Infestations in Apis mellifera Colonies. Journal of The Korea Society of Computer and Information. 2024; 29(10) 137-148.
Yongsun Lee, Hyunsu Cho, Bo-Young Kim, Jihoon Moon. A YOLOv8-Based Two-Stage Framework for Non-Destructive Detection of Varroa destructor Infestations in Apis mellifera Colonies. 2024; 29(10), 137-148.
Yongsun Lee, Hyunsu Cho, Bo-Young Kim and Jihoon Moon. "A YOLOv8-Based Two-Stage Framework for Non-Destructive Detection of Varroa destructor Infestations in Apis mellifera Colonies" Journal of The Korea Society of Computer and Information 29, no.10 (2024) : 137-148.
