Image detection model construction of Apolygus lucorum and Empoasca spp. based on improved YOLOv5.

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第一作者： Bo,Xiong

第一单位： State Key Laboratory of Crop Stress Biology for Arid Areas, Key Laboratory of Plant Protection Resources and Pest Management of Ministry of Education, Key Laboratory of Integrated Pest Management on the Loess Plateau of Ministry of Agriculture and Rural Affairs, College of Plant Protection, Northwest A&F University, Yangling, China.

作者： Bo,Xiong ^[1] ; Delu,Li ^[1] ; Qi,Zhang ^[1] ; Nicolas,Desneux ^[2] ; Chen,Luo ^[1] ; Zuqing,Hu ^[1]

作者单位： State Key Laboratory of Crop Stress Biology for Arid Areas, Key Laboratory of Plant Protection Resources and Pest Management of Ministry of Education, Key Laboratory of Integrated Pest Management on the Loess Plateau of Ministry of Agriculture and Rural Affairs, College of Plant Protection, Northwest A&F University, Yangling, China. ^[1] Université Côte d'Azur, INRAE, CNRS, UMR-ISA, Nice, France. ^[2]

关键词 YOLOv5s_HSSE model automatically detect green leafhoppers polyphagous mirid bug

主题词动物(Animals);半翅目(Hemiptera);异翅科(Heteroptera);昆虫防治(Insect Control);图像处理, 计算机辅助(Image Processing, Computer-Assisted)

DOI 10.1002/ps.7964

PMID 38243837

发布时间 2024-06-25

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