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Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks 期刊论文
CROP JOURNAL, 2022, 卷号: 10, 期号: 5, 页码: 1239-1250
作者:  Ao, Zurui;  Wu, Fangfang;  Hu, Saihan;  Sun, Ying;  Guo, Yanjun;  Guo, Qinghua;  Xin, Qinchuan
Adobe PDF(2926Kb)  |  收藏  |  浏览/下载：10/0  |  提交时间：2024/03/07
Terrestrial LiDAR Phenotype  Organ segmentation  Convolutional neural networks  
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 171, 页码: 202-223
作者:  Jin, Shichao;  Sun, Xiliang;  Wu, Fangfang;  Su, Yanjun;  Li, Yumei;  Song, Shiling;  Xu, Kexin;  Ma, Qin;  Baret, Frederic;  Jiang, Dong;  Ding, Yanfeng;  Guo, Qinghua
Adobe PDF(12177Kb)  |  收藏  |  浏览/下载：75/0  |  提交时间：2023/02/24
Lidar  Traits  Phenomics  Breeding  Management  Multi-omits  
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 4, 页码: 2644-2658
作者:  Jin, Shichao;  Su, Yanjun;  Gao, Shang;  Wu, Fangfang;  Ma, Qin;  Xu, Kexin;  Hu, Tianyu;  Liu, Jin;  Pang, Shuxin;  Guan, Hongcan;  Zhang, Jing;  Guo, Qinghua
Adobe PDF(14928Kb)  |  收藏  |  浏览/下载：131/0  |  提交时间：2022/03/01
Classification  deep learning  LiDAR  phenotype  segmentation  structural components  
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：92/0  |  提交时间：2022/03/01
Plant phenotyping  Leaf and panicle detection  Deep learning  Physiological trait  Leaf to panicle ratio (LPR)  Japonica rice  
Evaluating maize phenotype dynamics under drought stress using terrestrial lidar 期刊论文
PLANT METHODS, 2019, 卷号: 15
作者:  Su, Yanjun;  Wu, Fangfang;  Ao, Zurui;  Jin, Shichao;  Qin, Feng;  Liu, Boxin;  Pang, Shuxin;  Liu, Lingli;  Guo, Qinghua
Adobe PDF(2545Kb)  |  收藏  |  浏览/下载：90/0  |  提交时间：2022/01/06
Maize  Phenotype  Lidar  Drought stress  
Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 3, 页码: 1336-1346
作者:  Jin, Shichao;  Su, Yanjun;  Wu, Fangfang;  Pang, Shuxin;  Gao, Shang;  Hu, Tianyu;  Liu, Jin;  Guo, Qinghua
Adobe PDF(7737Kb)  |  收藏  |  浏览/下载：105/0  |  提交时间：2022/01/06
Light detection and ranging (LiDAR)  phenotypic traits  regional growth  segmentation  skeleton  
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：78/0  |  提交时间：2022/02/25
deep learning  detection  classification  segmentation  phenotype  Lidar (light detection and ranging)  
Crop 3D-a LiDAR based platform for 3D high-throughput crop phenotyping 期刊论文
SCIENCE CHINA-LIFE SCIENCES, 2018, 卷号: 61, 期号: 3, 页码: 328-339
作者:  Guo, Qinghua;  Wu, Fangfang;  Pang, Shuxin;  Zhao, Xiaoqian;  Chen, Linhai;  Liu, Jin;  Xue, Baolin;  Xu, Guangcai;  Li, Le;  Jing, Haichun;  Chu, Chengcai
Adobe PDF(5850Kb)  |  收藏  |  浏览/下载：116/0  |  提交时间：2022/02/25
crop breeding  phenotypic traits  data fusion  LiDAR  high-throughput  integrated platform  
内蒙古羊草群落、功能群、物种变化及其与气候的关系 期刊论文
生态学报, 2013, 卷号: 33, 期号: 2, 页码: 0650-0658.
作者:  谭丽萍;  周广胜
Adobe PDF(9015Kb)  |  收藏  |  浏览/下载：103/0  |  提交时间：2018/12/07
草地与玉米农田生态系统的植物光合产物分配动态及其模拟研究 学位论文
: 中国科学院植物研究所, 2011
作者:  平晓燕
Adobe PDF(1887Kb)  |  收藏  |  浏览/下载：143/0  |  提交时间：2018/12/04
植物光合产物分配  动态模拟  根系生物量  取样方法  草原生态系统  玉米农田生态系统