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Method for lightweight tomato leaf disease recognition based on improved YOLOv11s

Dixin Chen Li Liu Long Zhao Yi Shi Fei Wang Dan Meng Jianshe Zhao

International Journal of Agricultural and Biological Engineering2025,Vol.18Issue(5):P.298-305,8.
International Journal of Agricultural and Biological Engineering2025,Vol.18Issue(5):P.298-305,8.DOI:10.25165/j.ijabe.20251805.9928

Method for lightweight tomato leaf disease recognition based on improved YOLOv11s

Dixin Chen 1Li Liu 1Long Zhao 1Yi Shi 2Fei Wang 2Dan Meng 3Jianshe Zhao4

作者信息

  • 1. College of Horticulture and Plant Protection,Henan University of Science and Technology,Luoyang 471003,China
  • 2. College of Agricultural Equipment Engineering,Henan University of Science and Technology,Luoyang 471003,China
  • 3. Chinese Society of Agricultural Engineering,Beijing 100125,China
  • 4. Henan Zhongyuan Organic Agriculture Research Institute Co.,Ltd.,Zhengzhou 450000,China
  • 折叠

摘要

关键词

YOLO/LWGANet/object detection/lightweight model

分类

农业科技

引用本文复制引用

Dixin Chen,Li Liu,Long Zhao,Yi Shi,Fei Wang,Dan Meng,Jianshe Zhao..Method for lightweight tomato leaf disease recognition based on improved YOLOv11s[J].International Journal of Agricultural and Biological Engineering,2025,18(5):P.298-305,8.

基金项目

supported by the National Natural Science Foundation of China(Grant No.32472723) (Grant No.32472723)

Natural Science Foundation of Henan Province for Excellent Young Scholars(Grant No.252300421154) (Grant No.252300421154)

Heluo Youth Talent Project(Grant No.2024HLTJ11) (Grant No.2024HLTJ11)

Youth Backbone Teacher Project of Henan University of Science and Technology(Grants No.13450013 and 13450010). (Grants No.13450013 and 13450010)

International Journal of Agricultural and Biological Engineering

1934-6344

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