Professor | Shichao Jin | Asia Growth Partners

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Name	Shichao Jin
Contact Information	njschaon@njau.edu.cn
Language ability	Chinese, English
Province	Jiangsu

Upload Avatar (500 x 500)

Name

Shichao Jin

Contact Information

njschaon@njau.edu.cn

Language ability

Chinese, English

Province

Jiangsu

University/Lab Affiliation and Title	Nanjing Agricultural University
Faculty	academy for adyanced interdisciplinary studies
Academic Background & Achievements	2016.9–2020.6 PhD in Science: University of Chinese Academy of Sciences Developed a multi-source remote sensing phenotyping observation platform (Crop3D+) Published 41 papers in journals like ISPRS J PHOTOGRAMM, Plant Communications, IEEE TGRS
Work Experience	2020.9-present - Nanjing Agricultural University - Associate Professor 2020.7-2020.9 - Nanjing Agricultural University - Associate Professor (High-level talent introduction)
Awards	2020: Jiangsu Province 'Double Innovation Doctor' 2019: Excellent Young Report Award at the National Laser Remote Sensing and Detection Frontier Doctoral Academic Conference, Peking University 2018: First Prize at the Second International Graduate Academic Forum (1/800), Institute of Botany

University/Lab Affiliation and Title

Nanjing Agricultural University

Faculty

academy for adyanced interdisciplinary studies

Academic Background & Achievements

2016.9–2020.6 PhD in Science: University of Chinese Academy of Sciences
Developed a multi-source remote sensing phenotyping observation platform (Crop3D+)
Published 41 papers in journals like ISPRS J PHOTOGRAMM, Plant Communications, IEEE TGRS

Work Experience

2020.9-present - Nanjing Agricultural University - Associate Professor
2020.7-2020.9 - Nanjing Agricultural University - Associate Professor (High-level talent introduction)

Awards

2020: Jiangsu Province 'Double Innovation Doctor'
2019: Excellent Young Report Award at the National Laser Remote Sensing and Detection Frontier Doctoral Academic Conference, Peking University
2018: First Prize at the Second International Graduate Academic Forum (1/800), Institute of Botany

Areas of Focus	Innovation in plant phenotyping technology with remote sensing and deep learning High-throughput phenotyping platform integrating multi-sensor technology Phenotype-gene-environment cross-research for smart breeding and precision cultivation
Publications	Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing., Li Qing, Jin Shichao, Zang Jingrong, Wang Xiao, Sun Zhuangzhuang, Li Ziyu, Xu Shan, Ma Qin, Su Yanjun, Guo Qinghua, Jiang Dong, 2022 Proximal and remote sensing in plant phenomics: Twenty years of progress, challenges and perspectives., Tao Haiyu, Xu Shan, Tian Yongchao, Li Zhaofeng, Ge Yan, Zhang Jiaoping, Wang Yu, Zhou Guodong, Deng Xiong, Zheng Ze, Ding Yanfeng, Jiang Dong, Guo Qinghua, Jin Shichao, 2022 PlantNet: A dual-function point cloud segmentation network for multiple plant species., Li Dawei, Shi Guoliang, Li Jinsheng, Chen Yingliang, Zhang Songyin, Xiang Shiyu, Jin Shichao, 2022 Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing., Sun Zhuangzhuang., Li Qing, Jin Shichao, Song Yunlin, Xu Shan, Wang Xiao, Cai Jian, Zhou Qin, Ge Yan, Zhang Ruinan, Zang Jingrong, Jiang Dong, 2022 Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series., Jin Shichao, Su Yanjun, Zhang Yongguang, Song Shilin, Li Qing, Liu Zhonghua, Ma Qin, Ge Yan, Liu LingLi, Ding Yanfeng, Baret Frédéric, Guo Qinghua, 2021 Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects., Jin Shichao, Sun Xiliang, Wu Fangfang, Su Yanjun, Li Yumei, Song Shiling, Xu Kexin, Ma Qin, Baret Frédéric, Jiang Dong, Ding Yanfeng, Guo Qinghua, 2021 Separating the structural components of maize for field phenotyping using terrestrial lidar data and deep convolutional neural networks., Jin Shichao, Su Yanjun, Gao Shang, Wu Fangfang, Ma Qin, Xu Kexin, Ma Qin, Hu Tianyu, Liu Jin, Pang ShuXin, Guan Hongcan, Zhang Jing, Guo Qinghua, 2020 Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data., Jin Shichao, Su Yanjun, Wu Fangfang, Pang ShuXin, Gao Shang, Hu Tianyu, Liu Jin, Guo Qinghua, 2019 Non-destructive estimation of field maize biomass using terrestrial lidar: An evaluation from plot level to individual leaf level., Jin Shichao, Su Yanjun, Song Shilin, Xu Kexin, Hu Tianyu, Yang Qiuli, Wu Fangfang, Xu Guangcai, Ma Qin, Guan Hongcan, Pang Shuxin, Li Yumei, Guo Qinghua, 2020 Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms., Jin Shichao, Su Yanjun, Gao Shang, Wu Fangfang, Hu Tianyu, Liu Jin, Li Wenkai, Wang Dingchang, Chen Shaojiang, Jiang Yuanxi, Pang Shuxin, Guo Qinghua, 2018 A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments., Jin Shichao, Su Yanjun, Zhao Xiaoqian, Hu Tianyu, Guo Qinghua, 2020 The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data., Jin Shichao, Su Yanjun, Gao Shang, Hu Tianyu, Liu Jin, Guo Qinghua, 2018 Application of deep learning in ecological resource research: Theories, methods, and challenges., Guo Qinghua, Jin Shichao, Li Min, Yang Qiuli, Xu Kexin, Ju Yuanzhen, Zhang Jing, Xuan Jing, Liu Jin, Su Yanjun, Xu Qiang, Liu Yu, 2020 “绿途”系统：公民科学时代的植被调查制图新工具., 金时超, 胡天宇, 苏艳军, 马勤, 关宏灿, 杨默含, 郭庆华, 2021 高通量作物表型监测: 育种和精准农业发展的加速器., 郭庆华, 杨维才, 吴芳芳, 庞树鑫, 金时超, 陈凡, 王秀杰, 2018

Areas of Focus

Innovation in plant phenotyping technology with remote sensing and deep learning
High-throughput phenotyping platform integrating multi-sensor technology
Phenotype-gene-environment cross-research for smart breeding and precision cultivation

Publications

Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing., Li Qing, Jin Shichao*, Zang Jingrong, Wang Xiao, Sun Zhuangzhuang, Li Ziyu, Xu Shan, Ma Qin, Su Yanjun, Guo Qinghua, Jiang Dong*, 2022
Proximal and remote sensing in plant phenomics: Twenty years of progress, challenges and perspectives., Tao Haiyu, Xu Shan, Tian Yongchao, Li Zhaofeng, Ge Yan, Zhang Jiaoping, Wang Yu, Zhou Guodong, Deng Xiong, Zheng Ze, Ding Yanfeng, Jiang Dong, Guo Qinghua, Jin Shichao*, 2022
PlantNet: A dual-function point cloud segmentation network for multiple plant species., Li Dawei, Shi Guoliang, Li Jinsheng, Chen Yingliang, Zhang Songyin, Xiang Shiyu, Jin Shichao*, 2022
Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing., Sun Zhuangzhuang., Li Qing, Jin Shichao*, Song Yunlin, Xu Shan, Wang Xiao, Cai Jian, Zhou Qin, Ge Yan, Zhang Ruinan, Zang Jingrong, Jiang Dong*, 2022
Exploring Seasonal and Circadian Rhythms in Structural Traits of Field Maize from LiDAR Time Series., Jin Shichao*, Su Yanjun, Zhang Yongguang, Song Shilin, Li Qing, Liu Zhonghua, Ma Qin, Ge Yan, Liu LingLi, Ding Yanfeng, Baret Frédéric, Guo Qinghua, 2021
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects., Jin Shichao*, Sun Xiliang, Wu Fangfang, Su Yanjun, Li Yumei, Song Shiling, Xu Kexin, Ma Qin, Baret Frédéric, Jiang Dong, Ding Yanfeng, Guo Qinghua, 2021
Separating the structural components of maize for field phenotyping using terrestrial lidar data and deep convolutional neural networks., Jin Shichao, Su Yanjun, Gao Shang, Wu Fangfang, Ma Qin, Xu Kexin, Ma Qin, Hu Tianyu, Liu Jin, Pang ShuXin, Guan Hongcan, Zhang Jing, Guo Qinghua, 2020
Stem-Leaf Segmentation and Phenotypic Trait Extraction of Individual Maize Using Terrestrial LiDAR Data., Jin Shichao, Su Yanjun, Wu Fangfang, Pang ShuXin, Gao Shang, Hu Tianyu, Liu Jin, Guo Qinghua, 2019
Non-destructive estimation of field maize biomass using terrestrial lidar: An evaluation from plot level to individual leaf level., Jin Shichao, Su Yanjun, Song Shilin, Xu Kexin, Hu Tianyu, Yang Qiuli, Wu Fangfang, Xu Guangcai, Ma Qin, Guan Hongcan, Pang Shuxin, Li Yumei, Guo Qinghua, 2020
Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms., Jin Shichao, Su Yanjun, Gao Shang, Wu Fangfang, Hu Tianyu, Liu Jin, Li Wenkai, Wang Dingchang, Chen Shaojiang, Jiang Yuanxi, Pang Shuxin, Guo Qinghua, 2018
A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments., Jin Shichao, Su Yanjun, Zhao Xiaoqian, Hu Tianyu, Guo Qinghua, 2020
The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data., Jin Shichao, Su Yanjun, Gao Shang, Hu Tianyu, Liu Jin, Guo Qinghua, 2018
Application of deep learning in ecological resource research: Theories, methods, and challenges., Guo Qinghua, Jin Shichao, Li Min, Yang Qiuli, Xu Kexin, Ju Yuanzhen, Zhang Jing, Xuan Jing, Liu Jin, Su Yanjun, Xu Qiang, Liu Yu, 2020
“绿途”系统：公民科学时代的植被调查制图新工具., 金时超, 胡天宇, 苏艳军, 马勤, 关宏灿, 杨默含, 郭庆华, 2021
高通量作物表型监测: 育种和精准农业发展的加速器., 郭庆华, 杨维才, 吴芳芳, 庞树鑫, 金时超, 陈凡, 王秀杰, 2018

Remote Sensing Deep Learning Plant Phenotyping Multi-Sensor Technology High-Throughput Phenotype-Gene-Environment Smart Breeding Precision Cultivation Innovation Cross-Research

Yinglun Li - Nanjing Agricultural University

Frédéric Baret - Nanjing Agricultural University

Shouyang Liu - Nanjing Agricultural University

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