Updated:2024-02-27
    • Tomato leaf disease recognition based on an optimized Swin Transformer

    • LIU Yongmin , LIU Hanlin , SHI Tingting , OUYANG Jinyi , HUANG Hao , XIE Tieqiang
    • Journal of China Agricultural University Vol. 28, Issue 4, (2023)
    • DOI: 10.11841/j.issn.1007-4333.2023.04.07     

      CLC:

    Scan QR Code

  •  
  •  
  • Full Text(HTML)

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

15

Views

12

Downloads

9

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Detection and identification of tomato diseases and pests based on deep learning networks
Image classification of tomato leaf diseases based on transfer learning
Applications and research progress of deep learning in agricultureFU Longsheng, SONG Zhenzhen, ZHANG Xin, LI Rui, WANG Dong, CUI Yongjie
Recognition and grading of diseases and pests in orchard by GoogLeNet based on Transfer Learning
Nitrogen nutrition diagnosis in rice based on improved VGG16 network and transfer learning

Related Author

YUN Ting
CHEN Bangqian
FAN Jiangchuan
ZHANG Huaiqing
WANG Minghui
ZHANG Yashuo
LIU Qingfei
ZHANG Hongli

Related Institution

College of Information Science and Technology, Nanjing Forestry University
Institute of Forest Resource Information Techniques, Chinese Academy of Forestry
Beijing Key Lab of Digital Plant, National Engineering Research Center for Information Technology in Agriculture
Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences
College of Forestry and Grassland, Nanjing Forestry University