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Indexed By：SCI
Source Publication：FRONTIERS IN PLANT SCIENCE
Creator：Jiang, Yuanxi
First author
Creator：Jin, Shichao
Creator：Pang, Shuxin
Date Issued：2018
Language：英语
Funding Organization：National Key R&D Program of China [2017YFC0503905, 2016YFC0500202]
Funding Organization：Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA08040107]
Document Type：期刊论文
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Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms
期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9
Authors:
Jin, Shichao
;
Su, Yanjun
;
Gao, Shang
;
Wu, Fangfang
;
Hu, Tianyu
;
Liu, Jin
;
Li, Wankai
;
Wang, Dingchang
;
Chen, Shaojiang
;
Jiang, Yuanxi
;
Pang, Shuxin
;
Guo, Qinghua
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Submit date：2022/02/25
deep learning
detection
classification
segmentation
phenotype
Lidar (light detection and ranging)
