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DGS-Yolov7-Tiny: a lightweight pest and disease target detection model suitable for edge computing environments.

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第一作者： Ping,Yu

第一单位： School of Computer Technology and Engineering, Changchun Institute of Technology, Changchun, 130012, China.;School of Computer Science and Technology, Jilin University, Changchun, 130015, China.;Jilin Province S&T Innovation Center for Physical Simulation and Security of Water Resources and Electric Power Engineering, Changchun Institute of Technology, Changchun, 130012, China.

作者： Ping,Yu ^[1] ; Baoshu,Zong ^[2] ; Xiaozhong,Geng ^[3] ; Hui,Yan ^[4] ; Baijin,Liu ^[5] ; Cheng,Chen ^[5] ; Hupeng,Liu ^[2] ; Xiaoqing,Xu ^[2]

作者单位： School of Computer Technology and Engineering, Changchun Institute of Technology, Changchun, 130012, China.;School of Computer Science and Technology, Jilin University, Changchun, 130015, China.;Jilin Province S&T Innovation Center for Physical Simulation and Security of Water Resources and Electric Power Engineering, Changchun Institute of Technology, Changchun, 130012, China. ^[1] School of Energy and Power Engineering, Changchun Institute of Technology, Changchun, 130012, China.;Jilin Province S&T Innovation Center for Physical Simulation and Security of Water Resources and Electric Power Engineering, Changchun Institute of Technology, Changchun, 130012, China. ^[2] School of Computer Technology and Engineering, Changchun Institute of Technology, Changchun, 130012, China.;Jilin Province S&T Innovation Center for Physical Simulation and Security of Water Resources and Electric Power Engineering, Changchun Institute of Technology, Changchun, 130012, China. ^[3] School of Computer Science and Technology, Suqian University, Suqian, 223800, China. 17151@squ.edu.cn. ^[4] Jilin Province S&T Innovation Center for Physical Simulation and Security of Water Resources and Electric Power Engineering, Changchun Institute of Technology, Changchun, 130012, China.;School of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin, 132022, China. ^[5]

关键词 Artificial Intelligence(AI)Depthwise separable convolution (DSC)Lightweight model Mobile edge computing (MEC)Object detection

医学主题词植物疾病(Plant Diseases);算法(Algorithms);农业(Agriculture);农作物(Crops, Agricultural);模型, 理论(Models, Theoretical)

DOI 10.1038/s41598-025-13410-8

PMID 40813591

发布时间 2025-08-26

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