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Jincan Zhu
Institutions:
Southwest Forestry University,
State Forestry and Grassland Administration
Observed institutions:
Southwest Forestry University,
State Forestry and Grassland Administration
ORCID:
0009-0007-0238-2216
Observed ORCID:
0009-0007-0238-2216
OpenAlex ID:
A5109796422
Bird and UAVs Recognition Detection and Tracking Based on Improved YOLOv9-DeepSORT
2024
·
Jincan Zhu
, Chenhao Ma
, et al.
·
IEEE Access
·
30
Accurate recognition of UAVs on multi-scenario perception with YOLOv9-CAG
2025
·
Jincan Zhu
, Jian Rong
, et al.
·
Scientific Reports
·
10
PDF
YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios
2025
·
Peichun Suo
, Jincan Zhu
, et al.
·
IEEE Access
·
7
Robust real-time recognition of drones and birds in complex scenarios: a multimodal data fusion recognize approach
2025
·
Jincan Zhu
, Jian Rong
, et al.
·
Complex & Intelligent Systems
·
5
PDF
YOLO-DCS: A high-precision edge detection method for latex bowl state and latex trail state
2025
·
Jincan Zhu
, Lee Seng Hua
, et al.
·
Industrial Crops and Products
·
4
YOLO-RSTS: a precise segmentation model for detecting preservative and stimulant spraying regions on rubber trees
2026
·
Jincan Zhu
, Yu Feng
, et al.
·
Frontiers in Plant Science
·
2
PDF
YOLO-CDD: Real-time and accurate detection of latex collection bowl and flow states with enhanced multi-scale feature fusion
2025
·
Jincan Zhu
, Lei Liu
, et al.
·
Smart Agricultural Technology
·
1
Precise detection of latex collection bowls and flow traces in real-time at nighttime conditions
2026
·
Haocen Zhao
, Jincan Zhu
, et al.
·
Measurement
PDF
YOLO-BCD: an efficient and accurate approach for building crack detection
2025
·
Xiongwen Xiao
, Jincan Zhu
, et al.
·
International Conference on Optics, Electronics, and Communication Engineering (OECE)
Improved YOLOv11 for Accurate Detection of Latex Collection States
2025
·
Yi Yang
, Weili Kou
, et al.
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Works count:
10
Citation count:
59
H-index:
4
I10-index:
2
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