您当前的位置：
首页 >
文章列表页 >
Photovoltaic panel defect detection technology based on improved YOLOv8n
Image Processing | 更新时间：2025-12-12

    • Photovoltaic panel defect detection technology based on improved YOLOv8n

    • “In the field of solar power generation, researchers have proposed the SCA-YOLOv8n detection model, which effectively improves the accuracy and reliability of defect detection in photovoltaic panels.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 11, Pages: 1700-1709(2025)

    • DOI：10.37188/CJLCD.2025-0166    

      CLC： TP391.4
    • CSTR：32172.14.CJLCD.2025-0166    

    • Received：14 August 2025，

      Revised：2025-09-21，

      Published：05 November 2025

    移动端阅览

  • DENG Wanyu, YUAN Zhaoyang. Photovoltaic panel defect detection technology based on improved YOLOv8n[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(11): 1700-1709. DOI： 10.37188/CJLCD.2025-0166. CSTR： 32172.14.CJLCD.2025-0166.

  •  
  •  

0

Views

53

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Urban road defect detection algorithm based on improved YOLOv8n

Related Author

DENG Wanyu
YUAN Zhaoyang
ZHU Shisong
GAO Hong
LU Bibo
DU Haijing
GAO Hong
DU Haijing

Related Institution

College of Computer Science and Technology， Xi'an Univ. of Posts and Telecommunications
School of Computer Science and Technology， Henan Polytechnic University
Xiuwu County Forestry Development Service Center
0