Year: 2023
Type: conference-paper
Abstract: Microparticle disease of the domestic silkworm is a severe infectious disease in mulberry sericulture production. Therefore, microparticle virus testing must be excluded from sericulture production. The problem of detecting microparticle viruses in silkworms is often detected by manual microscopic observation, which is labor-intensive and unable to achieve large-scale real-time detection. Hence, in this paper, we propose an intelligent detection method for microparticle viruses based on the improved YOLOV8 algorithm. It can realize the rapid and intelligent detection and identification of microparticle viruses in silkworms. The results of comparative experiments show that the algorithm has high detection accuracy and fast detection speed, which can meet the needs of real-time intelligent detection in production.
Authors: Yinguang Zhang, Jianhuan Su, Chuan Xu, Ao Yu
Language: English
Subfield: Insect Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: bronze
OpenAlex ID: W4399809196