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A novel light interception trait of a hybrid rice ideotype indicative of leaf to panicle ratio 期刊论文
FIELD CROPS RESEARCH, 2021, 卷号: 274
作者:  Xiao, Feng;  Li, Weiwei;  Xiao, Minghui;  Yang, Zongfeng;  Cheng, Wangda;  Gao, Shang;  Li, Ganghua;  Ding, Yanfeng;  Paul, Matthew J.;  Liu, Zhenghui
Adobe PDF(35045Kb)  |  收藏  |  浏览/下载：70/0  |  提交时间：2023/02/24
Ideotype  Leaf to panicle ratio  Light interception  Rice breeding  Dynamic canopy light interception simulating  device  
Leaf to panicle ratio (LPR): a new physiological trait indicative of source and sink relation in japonica rice based on deep learning 期刊论文
PLANT METHODS, 2020, 卷号: 16, 期号: 1
作者:  Yang, Zongfeng;  Gao, Shang;  Xiao, Feng;  Li, Ganghua;  Ding, Yangfeng;  Guo, Qinghua;  Paul, Matthew J.;  Liu, Zhenghui
Adobe PDF(4429Kb)  |  收藏  |  浏览/下载：90/0  |  提交时间：2022/03/01
Plant phenotyping  Leaf and panicle detection  Deep learning  Physiological trait  Leaf to panicle ratio (LPR)  Japonica rice  
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
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Hu, Tianyu;  Liu, Jin;  Li, Wankai;  Wang, Dingchang;  Chen, Shaojiang;  Jiang, Yuanxi;  Pang, Shuxin;  Guo, Qinghua
Adobe PDF(2278Kb)  |  收藏  |  浏览/下载：77/0  |  提交时间：2022/02/25
deep learning  detection  classification  segmentation  phenotype  Lidar (light detection and ranging)