Changlin Li

Beijing Forestry University

35 Qinghua E Rd.

WuDaoKou

Beijing, 100085

China

  • Beijing Forestry University

SCHOLARLY PAPERS

2

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19

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Scholarly Papers (2)

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1.

P-Yolo11: An Improved Lightweight Model for Accurate Detection of Declining Trees in Poplar Plantations

Number of pages: 33 Posted: 13 May 2025
Jun Meng, Kunying Wang, Ziqi Liu, Kaixiang Fu, Changxuan Zhu, Changlin Li, Zhaofei Wang and Guodong Jia
Beijing Forestry University, Beijing Forestry University, Beijing Forestry University, Beijing Forestry University, Beijing Forestry University, Beijing Forestry University, Hebei Agricultural University and Beijing Forestry University
Downloads 10 (1,288,250)

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YOLO11, CNN, Deep learning, Forest Health, object detection

2.

P-Yolo11: An Enhanced Lightweight Model for Accurate Detection of Declining Poplar Trees in the Three-North Shelterbelt

Number of pages: 33 Posted: 13 May 2025
Jun Meng, Kunying Wang, Ziqi Liu, Kaixiang Fu, Changxuan Zhu, Changlin Li, Zhaofei Wang, Yankai Feng and Guodong Jia
Beijing Forestry University, Beijing Forestry University, Beijing Forestry University, Beijing Forestry University, Beijing Forestry University, Beijing Forestry University, Hebei Agricultural University, Beijing Forestry University and Beijing Forestry University
Downloads 9 (1,297,221)

Abstract:

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YOLO11, Poplar, Deep learning, Forest Health, object detection