您当前的位置:
首页 >
文章列表页 >
Lightweight citrus maturity detection algorithm with hybrid attention fusion
更新时间:2026-04-15
    • Lightweight citrus maturity detection algorithm with hybrid attention fusion

    • Chinese Journal of Liquid Crystals and Displays   Pages: 1-16(2026)
    • DOI:10.37188/CJLCD.2026-0039    

      CLC: TP391.4;TN911.73
    • CSTR:32172.14.CJLCD.2026-0039    
    • Received:16 March 2026

      Revised:2026-04-08

      Online First:15 April 2026

    移动端阅览

  • WANG Wenkun, XIE Hui, JIANG Wujin, et al. Lightweight citrus maturity detection algorithm with hybrid attention fusion[J/OL]. Chinese Journal of Liquid Crystals and Displays, 2026, 1-16. DOI: 10.37188/CJLCD.2026-0039. CSTR: 32172.14.CJLCD.2026-0039.

  •  
  •  

0

Views

0

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

Improved YOLOv5 lightweight binocular vision UAV obstacle avoidance algorithm based on Ghost module
Lightweight and high-precision object detection algorithm based on YOLO framework
Lightweight vehicle object detection algorithm based on RT-DETR

Related Author

JIA Yifan
CAO Tianyi
BAI Yue
FAN Xin-chuan
CHEN Chun-mei
JIA Yi-fan
CAO Tian-yi
ZHANG Ziyi

Related Institution

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
University of Chinese Academy of Sciences
SWJTU-Leeds Joint School
School of Information Engineering, Southwest University of Science and Technology
SWJTU-Leeds Joint school
0