Professor | Yinglun Li | Asia Growth Partners

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Name	Yinglun Li
Contact Information	leeyinglun@njau.edu.cn
Language ability	English, Chinese
Province	Jiangsu

Upload Avatar (500 x 500)

Name

Yinglun Li

Contact Information

leeyinglun@njau.edu.cn

Language ability

English, Chinese

Province

Jiangsu

University/Lab Affiliation and Title	Nanjing Agricultural University
Faculty	academy for adyanced interdisciplinary studies
Awards	Jiangsu Province Zhuobo Plan (2022): Detail not provided Jiangsu Province Science and Technology Deputy General (2022): Detail not provided International Research Awards on New Science Inventions, YOUNG SCIENTIST AWARD (2022): Detail not provided

University/Lab Affiliation and Title

Nanjing Agricultural University

Faculty

academy for adyanced interdisciplinary studies

Awards

Jiangsu Province Zhuobo Plan (2022): Detail not provided
Jiangsu Province Science and Technology Deputy General (2022): Detail not provided
International Research Awards on New Science Inventions, YOUNG SCIENTIST AWARD (2022): Detail not provided

Areas of Focus	Analysis of multi-source heterogeneous plant phenotype raw data based on deep learning Integration of 3D models and time-series image phenotypes in the field of plant phenotyping Development of high-throughput field phenotyping equipment, algorithms, and key functional trait mining
Publications	Automatic organ-level point cloud segmentation of maize shoots by integrating high-throughput data acquisition and deep learning, Yinglun Li; Weiliang Wen; Teng Miao; Sheng Wu; Zetao Yu; Xiaodong Wang; Xinyu Guo; Chunjiang Zhao, 2022 High-throughput phenotyping analysis of maize at the seedling stage using end-to-end segmentation network, Li, Yinglun; Wen, Weiliang; Guo, Xinyu; Yu, Zetao; Gu, Shenghao; Yan, Haipeng; Zhao, Chunjiang, 2021 基于RGB-D点云的田间原位玉米株高测量试验研究, 郭海; 樊江川; 李英伦; 郭新宇; 毕春光, 2021 玉米精准作业区农田监测数据分析与三维可视化, 李英伦; 陈桂芬; 王冬雪, 2021 Label3DMaize: toolkit for 3D point cloud data annotation of maize shoots, Miao, Teng; Wen, Weiliang; Li, Yinglun; Wu, Sheng; Zhu, Chao; Guo, Xinyu, 2021

Areas of Focus

Analysis of multi-source heterogeneous plant phenotype raw data based on deep learning
Integration of 3D models and time-series image phenotypes in the field of plant phenotyping
Development of high-throughput field phenotyping equipment, algorithms, and key functional trait mining

Publications

Automatic organ-level point cloud segmentation of maize shoots by integrating high-throughput data acquisition and deep learning, Yinglun Li; Weiliang Wen; Teng Miao; Sheng Wu; Zetao Yu; Xiaodong Wang; Xinyu Guo; Chunjiang Zhao, 2022
High-throughput phenotyping analysis of maize at the seedling stage using end-to-end segmentation network, Li, Yinglun; Wen, Weiliang; Guo, Xinyu; Yu, Zetao; Gu, Shenghao; Yan, Haipeng; Zhao, Chunjiang, 2021
基于RGB-D点云的田间原位玉米株高测量试验研究, 郭海; 樊江川; 李英伦; 郭新宇; 毕春光, 2021
玉米精准作业区农田监测数据分析与三维可视化, 李英伦; 陈桂芬; 王冬雪, 2021
Label3DMaize: toolkit for 3D point cloud data annotation of maize shoots, Miao, Teng; Wen, Weiliang; Li, Yinglun; Wu, Sheng; Zhu, Chao; Guo, Xinyu, 2021

Deep Learning Multi-Source Heterogeneous Plant Phenotype Raw Data 3D Models Time-Series Image Phenotypes High-Throughput Trait Mining

Shouyang Liu - Nanjing Agricultural University

Shichao Jin - Nanjing Agricultural University

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