GBiDC-PEST:A novel lightweight model for real-time multiclass tiny pest detection and mobile platform deployment
GBiDC-PEST:A novel lightweight model for real-time multiclass tiny pest detection and mobile platform deployment
摘要
关键词
mobile counting/real-time processing/pest detection/tiny object identification/algorithm deploymentKey words
mobile counting/real-time processing/pest detection/tiny object identification/algorithm deployment引用本文复制引用
Weiyue Xu,Ruxue Yang,Raghupathy Karthikeyan,Yinhao Shi,Qiong Su..GBiDC-PEST:A novel lightweight model for real-time multiclass tiny pest detection and mobile platform deployment[J].农业科学学报（英文）,2025,24(7):2749-2769,21.基金项目
Weiyue Xu acknowledges the support of the Natural Science Foundation of Jiangsu Province,China(BK20240977),the China Scholarship Council(201606850024),the National High Technology Research and Development Program of China(2016YFD0701003),and the Postgraduate Research & Practice Innovation Program of Jiangsu Province,China(SJCX23_1488).Thank Associate Prof.Liu Liu(Hefei University of Technology,China),Prof.J.Alex Thomasson(Mississippi State University,USA),Associate Prof.Yeyin Shi(University of Nebraska-Lincoln,USA),Dr.Mario A.Mendez(Texas A&M University,USA),Zikun Guo(Master,Texas A&M University,USA),Associate Prof.Kiran R.Gadhave(Texas A&M University,USA),Dr.Brent W.Auvermann(Acting Center Director,Texas A&M AgriLife Research,USA),Associate Prof.Jourdan M.Bell(Texas A&M AgriLife Research,USA),and Senior Research Associate Carla Naylor(Texas A&M AgriLife Research,USA)for their assistance in capturing pest images.In addition,thank Dr.William L.Rooney,a regent professor at the Department of AgriLife,Texas A&M University,for the field experiments. （BK20240977）
