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科言猫学术研究的AI总结
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J

Jinxu Wang

Peking University

5H指数
24论文数
101被引数
收录论文 6
发表时间
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A novel dual neural network-based method for weed detection in cabbage fields一种基于双神经网络的新型杂草检测方法，用于甘蓝田
errEngineering Applications of Artificial Intelligence
IF8
err2025-12-22
err0
PREAI
errMian Li; Xiaoyue Zhang; Wenpeng Zhu; Jinxu Wang; Shuping Fang; Aimin Li; Jialin Yu; Xiaojun Jin
err分享
err收藏
CD-YOLO-based deep learning method for weed detection in vegetablesZhu, W.; Zu, Q.; Wang, J.; Liu, T.; Maity, A.; Sun, J.; Li, M.; Jin, X.; Yu, J. 基于CD-YOLO的深度学习方法用于蔬菜中的杂草检测. Weed Sci. 2025, 73, e99. [Google Scholar] [CrossRef]
errWEED SCIENCE
IF2.5
err2025-11-21
err1
errOAAI
errZhu, Wenpeng; Zu, Qiuyu; Wang, Jinxu; Liu, Teng; Maity, Aniruddha; Sun, Jihong; Li, Mian; Jin, Xiaojun; Yu, Jialin
err分享
err收藏
Precision weed detection and mapping in vegetables using deep learning基于深度学习的蔬菜作物精量杂草检测与制图
errWEED SCIENCE
IF0
err2025-09-08
err0
errOAAI
errLi, Weili; Zhu, Wenpeng; Wang, Jinxu; Han, Kang; Jin, Xiaojun; Yu, Jialin
err分享
err收藏
Automated seed counting using image processing and deep learning基于图像处理和深度学习的自动化种子计数
errFrontiers in Plant Science
IF4.8
err2025-08-29
err0
errOAAI
errQiuyu Zu; Teng Liu; Wenpeng Zhu; Yan Pan; Jinxu Wang; Xinru Song; Jialin Yu; Shu Dang; Xiaoming Yu; Zhenyu Zhang
err分享
err收藏
Semantic segmentation for weed detection in corn基于语义分割的玉米杂草检测
errPEST MANAGEMENT SCIENCE
IF3.8
err2024-11-25
err0
PREAI
errLiu, Teng; Jin, Xiaojun; Han, Kang; He, Feiyu; Wang, Jinxu; Chen, Xin; Kong, Xiaotong; Yu, Jialin
err分享
err收藏
Evaluation of two deep learning-based approaches for detecting weeds growing in cabbage
errPEST MANAGEMENT SCIENCE
IF3.8
err2024-02-07
err7
PREAI
errSun, Hu; Liu, Teng; Wang, Jinxu; Zhai, Danlan; Yu, Jialin
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
M
Mian Li
H 指数: 39 · 论文数: 110
W
Wei‐Li Li
H 指数: 39 · 论文数: 129
李
李爱敏 (Aimin Li)
H 指数: 38 · 论文数: 264
J
Jialin Yu
H 指数: 36 · 论文数: 146
J
Jialin Yu
H 指数: 29 · 论文数: 205
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