IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2025i9p911-d1639735.html
   My bibliography  Save this article

Correction: Liao et al. A Lightweight Cotton Verticillium Wilt Hazard Level Real-Time Assessment System Based on an Improved YOLOv10n Model. Agriculture 2024, 14 , 1617

Author

Listed:
  • Juan Liao

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China
    Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou 510642, China
    Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI), Guangzhou 510642, China)

  • Xinying He

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China)

  • Yexiong Liang

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China)

  • Hui Wang

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China)

  • Haoqiu Zeng

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China)

  • Xiwen Luo

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China
    Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou 510642, China
    Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI), Guangzhou 510642, China)

  • Xiaomin Li

    (College of Mechanical and Electrical Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China)

  • Lei Zhang

    (College of Agriculture, South China Agricultural University, Guangzhou 510642, China)

  • He Xing

    (School of Information Technology & Engineering, Guangzhou College of Commerce, Guangzhou 511363, China)

  • Ying Zang

    (College of Engineering, South China Agricultural University, Guangzhou 510642, China
    Key Laboratory of Key Technology on Agricultural Machine and Equipment (South China Agricultural University), Ministry of Education, Guangzhou 510642, China
    Guangdong Provincial Key Laboratory of Agricultural Artificial Intelligence (GDKL-AAI), Guangzhou 510642, China)

Abstract

In the original publication [...]

Suggested Citation

  • Juan Liao & Xinying He & Yexiong Liang & Hui Wang & Haoqiu Zeng & Xiwen Luo & Xiaomin Li & Lei Zhang & He Xing & Ying Zang, 2025. "Correction: Liao et al. A Lightweight Cotton Verticillium Wilt Hazard Level Real-Time Assessment System Based on an Improved YOLOv10n Model. Agriculture 2024, 14 , 1617," Agriculture, MDPI, vol. 15(9), pages 1-5, April.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:9:p:911-:d:1639735
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/9/911/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/15/9/911/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    n/a;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:15:y:2025:i:9:p:911-:d:1639735. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.