Professor | Tao Cheng | Asia Growth Partners

Name	Tao Cheng
Contact Information	tcheng@njau.edu.cn
Language ability	English, Chinese
Province	Jiangsu

Name

Tao Cheng

Contact Information

tcheng@njau.edu.cn

Language ability

English, Chinese

Province

Jiangsu

University/Lab Affiliation and Title	Nanjing Agricultural University
Faculty	Agriculture
Academic Background & Achievements	2006-2010: PhD in Earth and Atmospheric Sciences, University of Alberta 2003-2006: Master's in Photogrammetry and Remote Sensing, Peking University 1999-2003: Bachelor's in Geographic Information Systems, Lanzhou University Recipient of the Young Scientist Award from the Chinese Society of Crop Science Jiangsu Province Outstanding Doctoral Dissertation Advisor Award
Work Experience	2013.12-present: Nanjing Agricultural University, Teaching and Research 2011.1-2013.12: University of California, Davis, Postdoctoral Research
Awards	Young Scientist Award from the Chinese Society of Crop Science Jiangsu Province Outstanding Doctoral Dissertation Advisor Award 2021 RSE Best Reviewer Award

University/Lab Affiliation and Title

Nanjing Agricultural University

Faculty

Agriculture

Academic Background & Achievements

2006-2010: PhD in Earth and Atmospheric Sciences, University of Alberta
2003-2006: Master's in Photogrammetry and Remote Sensing, Peking University
1999-2003: Bachelor's in Geographic Information Systems, Lanzhou University
Recipient of the Young Scientist Award from the Chinese Society of Crop Science
Jiangsu Province Outstanding Doctoral Dissertation Advisor Award

Work Experience

2013.12-present: Nanjing Agricultural University, Teaching and Research
2011.1-2013.12: University of California, Davis, Postdoctoral Research

Awards

Young Scientist Award from the Chinese Society of Crop Science
Jiangsu Province Outstanding Doctoral Dissertation Advisor Award
2021 RSE Best Reviewer Award

Areas of Focus	Remote sensing big data and crop identification Spectral monitoring of crop growth parameters High-throughput acquisition of crop phenotypic information
Publications	Estimating wheat grain yield by assimilating phenology and LAI with the WheatGrow model based on theoretical uncertainty of remotely sensed observation, Tang Yining, Zhou Ruiheng, He Ping, Yu Minglei, Zheng Hengbiao, Yao Xia, Cheng Tao, Zhu Yan, Cao Weixing, Tian Yongchao, 2023 RSARE: A physically-based vegetation index for estimating wheat green LAI to mitigate the impact of leaf chlorophyll content and residue-soil background, Li Wei, Li Dong, Liu Shouyang, Baret Frederic, Ma Zhiyuan, He Can, Warner Timothy A., Guo Caili, Cheng Tao, Zhu Yan, Cao Weixing, Yao Xia, 2023 Monitoring rice grain protein accumulation dynamics based on UAV multispectral data, Li Wanyu, Wu Wenxuan, Yu Minglei, Tao Haiyu, Yao Xia, Cheng Tao, Zhu Yan, Cao Weixing, Tian Yongchao, 2023 Fusarium head blight monitoring in wheat ears using machine learning and multimodal data from asymptomatic to symptomatic periods, Mustafa Ghulam, Zheng Hengbiao, Li Wei, Yin Yuming, Wang Yongqing, Zhou Meng, Liu Peng, Bilal Muhammad, Jia Haiyan, Li Guoqiang, Cheng Tao, Tian Yongchao, Cao Weixing, Zhu Yan, Yao Xia, 2023 Annual 30 m winter wheat yield mapping in the Huang-Huai-Hai plain using crop growth model and long-term satellite images, Zhao Yanxi, Tao Haiyu, He Ping, Yao Xia, Cheng Tao, Zhu Yan, Cao Weixing, Tian Yongchao, 2023 Early monitoring of rice leaf blast based on sunlight-induced chlorophyll fluorescence information from different leaf positions, Cheng Yuxin, Xue Bowen, Kong Yuanyuan, Yao Dongliang, Tian Long, Wang Xue, Yao Xia, Zhu Yan, Cao Weixing, Cheng Tao, 2023

Areas of Focus

Remote sensing big data and crop identification
Spectral monitoring of crop growth parameters
High-throughput acquisition of crop phenotypic information

Publications

Estimating wheat grain yield by assimilating phenology and LAI with the WheatGrow model based on theoretical uncertainty of remotely sensed observation, Tang Yining, Zhou Ruiheng, He Ping, Yu Minglei, Zheng Hengbiao, Yao Xia, Cheng Tao, Zhu Yan, Cao Weixing, Tian Yongchao, 2023
RSARE: A physically-based vegetation index for estimating wheat green LAI to mitigate the impact of leaf chlorophyll content and residue-soil background, Li Wei, Li Dong, Liu Shouyang, Baret Frederic, Ma Zhiyuan, He Can, Warner Timothy A., Guo Caili, Cheng Tao, Zhu Yan, Cao Weixing, Yao Xia, 2023
Monitoring rice grain protein accumulation dynamics based on UAV multispectral data, Li Wanyu, Wu Wenxuan, Yu Minglei, Tao Haiyu, Yao Xia, Cheng Tao, Zhu Yan, Cao Weixing, Tian Yongchao, 2023
Fusarium head blight monitoring in wheat ears using machine learning and multimodal data from asymptomatic to symptomatic periods, Mustafa Ghulam, Zheng Hengbiao, Li Wei, Yin Yuming, Wang Yongqing, Zhou Meng, Liu Peng, Bilal Muhammad, Jia Haiyan, Li Guoqiang, Cheng Tao, Tian Yongchao, Cao Weixing, Zhu Yan, Yao Xia, 2023
Annual 30 m winter wheat yield mapping in the Huang-Huai-Hai plain using crop growth model and long-term satellite images, Zhao Yanxi, Tao Haiyu, He Ping, Yao Xia, Cheng Tao, Zhu Yan, Cao Weixing, Tian Yongchao, 2023
Early monitoring of rice leaf blast based on sunlight-induced chlorophyll fluorescence information from different leaf positions, Cheng Yuxin, Xue Bowen, Kong Yuanyuan, Yao Dongliang, Tian Long, Wang Xue, Yao Xia, Zhu Yan, Cao Weixing, Cheng Tao, 2023

Remote Sensing Big Data Crop Identification Spectral Monitoring Crop Growth Phenotypic Information High-Throughput Crop Health Precision Agriculture Data Analysis

Tong Wei - Northwest A&F Universtiy

Yongchao Tian - Nanjing Agricultural University

Yan Zhu - Nanjing Agricultural University

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