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Shuxin Pang

Showing results (1-10 of 5) with videos related to

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Plant Methods|February 12, 2019
Evaluating maize phenotype dynamics under drought stress using terrestrial lidarYanjun Su, Fangfang Wu, Zurui Ao, et al.
Science China. Life Sciences|June 16, 2017
Crop 3D-a LiDAR based platform for 3D high-throughput crop phenotypingQinghua Guo, Fangfang Wu, Shuxin Pang, et al.
Systematic Reviews|December 20, 2025
Artificial intelligence in electrocardiogram signals for sudden cardiac death prediction: a systematic review and meta-analysisShuang He, Ming Du, Zhao Wang, et al.
Frontiers in Plant Science|July 11, 2018
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth AlgorithmsShichao Jin, Yanjun Su, Shang Gao, et al.
Plant Methods|May 22, 2020
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf levelShichao Jin, Yanjun Su, Shilin Song, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Plant Methods|February 12, 2019
Evaluating maize phenotype dynamics under drought stress using terrestrial lidarYanjun Su, Fangfang Wu, Zurui Ao, et al.
Science China. Life Sciences|June 16, 2017
Crop 3D-a LiDAR based platform for 3D high-throughput crop phenotypingQinghua Guo, Fangfang Wu, Shuxin Pang, et al.
Systematic Reviews|December 20, 2025
Artificial intelligence in electrocardiogram signals for sudden cardiac death prediction: a systematic review and meta-analysisShuang He, Ming Du, Zhao Wang, et al.
Frontiers in Plant Science|July 11, 2018
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth AlgorithmsShichao Jin, Yanjun Su, Shang Gao, et al.
Plant Methods|May 22, 2020
Non-destructive estimation of field maize biomass using terrestrial lidar: an evaluation from plot level to individual leaf levelShichao Jin, Yanjun Su, Shilin Song, et al.
Pageof 1