Professor | Qun Sun | Asia Growth Partners

	Upload Avatar (500 x 500)
Name	Qun Sun
Contact Information	sunqun@cau.edu.cn
Language ability	Chinese, English
Province	Beijing

Upload Avatar (500 x 500)

Name

Qun Sun

Contact Information

sunqun@cau.edu.cn

Language ability

Chinese, English

Province

Beijing

University/Lab Affiliation and Title	China Agricultural University
Faculty	Veterinary Medicine
Academic Background & Achievements	2005-2009: PhD in Seed Science, China Agricultural University 1997-2000: Master's in Crop Genetics and Breeding, China Agricultural University 1989-1993: Bachelor's in Crop, Laiyang Agricultural College
Work Experience	2018-Present: Secretary-General, Ministry of Education Committee on Seed Science and Engineering 2011-2022: Vice Secretary-General, Chinese Society of Crop Science, Crop Seed Committee
Awards	2022: Innovation and Practice in Talent Cultivation Mode for Agricultural Elites 2021: Construction and Application of Practice Teaching System Based on Industry-Education Integration in Seed Industry 2021: Innovation and Practice in Talent Cultivation Mode for Agricultural Elites in the New Era 2021: University-level Outstanding Teacher 2014: University-level Outstanding Teacher 2013: Construction and Practice of Talent Cultivation System in Seed Science and Engineering 2012: Construction and Practice of Talent Cultivation System in Seed Science and Engineering

University/Lab Affiliation and Title

China Agricultural University

Faculty

Veterinary Medicine

Academic Background & Achievements

2005-2009: PhD in Seed Science, China Agricultural University
1997-2000: Master's in Crop Genetics and Breeding, China Agricultural University
1989-1993: Bachelor's in Crop, Laiyang Agricultural College

Work Experience

2018-Present: Secretary-General, Ministry of Education Committee on Seed Science and Engineering
2011-2022: Vice Secretary-General, Chinese Society of Crop Science, Crop Seed Committee

Awards

2022: Innovation and Practice in Talent Cultivation Mode for Agricultural Elites
2021: Construction and Application of Practice Teaching System Based on Industry-Education Integration in Seed Industry
2021: Innovation and Practice in Talent Cultivation Mode for Agricultural Elites in the New Era
2021: University-level Outstanding Teacher
2014: University-level Outstanding Teacher
2013: Construction and Practice of Talent Cultivation System in Seed Science and Engineering
2012: Construction and Practice of Talent Cultivation System in Seed Science and Engineering

Areas of Focus	Seed Quality Non-destructive Testing Seed Processing Seed Storage
Publications	Discrimination of individual seed viability by using the oxygen consumption technique and headspace-gas chromatography-ion mobility spectrometry, Keling Tu, Yulin Yin, Liming Yang, Jianhua Wang, Qun Sun, 2023 AIseed: Automated image analysis software for high-throughput phenotyping and quality non-destructive testing of individual seeds, Keling Tu, Weifeng Wu, Ying Cheng, Han Zhang, Yanan Xu, Xuehui Dong, Mang Wang, Qun Sun, 2023 A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning, Keling Tu, Shaozhe Wen, Tong Pan, Ying Cheng, Yanan Xu, Haonan Hou, Jialiang Liu, Riliang Gu, Jianhua Wang, Fengge Wang, Qun Sun, 2022 A method for seed purity detection of hybrid wheat based on transmission hyperspectral imaging technology, Han Zhang, Qiling Hou, Bin Luo, Keling Tu, Changping Zhao, Qun Sun, 2022 Evaluation of volatile metabolites as potential markers to predict naturally-aged seed vigour by coupling rapid analytical profiling techniques with chemometrics, Tingting Zhang, A. Charfedinne, Ian D. Fisk, Tong Pan, Jianhua Wang, Ni Yang, Qun Sun, 2021 A non-destructive and highly efficient model for detecting the genuineness of maize variety 'JINGKE 968' using machine vision combined with deep learning, Keling Tu, Shaozhe Wen, Ying Cheng, Tingting Zhang, Tong Pan, Jie Wang, Jianhua Wang, Qun Sun, 2021 Adaptive robust learning framework for twin support vector machine classification, Ma J, Yang L, Sun Q, 2021 Genetic dissection of seed appearance quality using recombinant inbred lines in soybean, Quan Hu, Yanwei Zhang, Ruirui Ma, Jie An, Wenxuan Huang, Yueying Wu, Jingjing Hou, Dajian Zhang, Feng Lin, Ran Xu, Qun Sun, Lianjun Sun, 2021 Capped L1-norm Distance Metric-Based Fast Robust Twin Bounded Support Vector Machine, Ma J, Yang L, Sun Q, 2020 Non-destructive Analysis of Germination Percentage, Germination Energy, and Simple Vigor Index on Wheat Seeds during Storage by Vis/NIR and SWIR Hyperspectral Imaging, Tingting Zhang, Shuxiang Fan, Yingying Xiang, Shujie Zhang, Jianhua Wang, Qun Sun, 2020

Areas of Focus

Seed Quality Non-destructive Testing
Seed Processing
Seed Storage

Publications

Discrimination of individual seed viability by using the oxygen consumption technique and headspace-gas chromatography-ion mobility spectrometry, Keling Tu, Yulin Yin, Liming Yang, Jianhua Wang, Qun Sun, 2023
AIseed: Automated image analysis software for high-throughput phenotyping and quality non-destructive testing of individual seeds, Keling Tu, Weifeng Wu, Ying Cheng, Han Zhang, Yanan Xu, Xuehui Dong, Mang Wang, Qun Sun, 2023
A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning, Keling Tu, Shaozhe Wen, Tong Pan, Ying Cheng, Yanan Xu, Haonan Hou, Jialiang Liu, Riliang Gu, Jianhua Wang, Fengge Wang, Qun Sun, 2022
A method for seed purity detection of hybrid wheat based on transmission hyperspectral imaging technology, Han Zhang, Qiling Hou, Bin Luo, Keling Tu, Changping Zhao, Qun Sun, 2022
Evaluation of volatile metabolites as potential markers to predict naturally-aged seed vigour by coupling rapid analytical profiling techniques with chemometrics, Tingting Zhang, A. Charfedinne, Ian D. Fisk, Tong Pan, Jianhua Wang, Ni Yang, Qun Sun, 2021
A non-destructive and highly efficient model for detecting the genuineness of maize variety 'JINGKE 968' using machine vision combined with deep learning, Keling Tu, Shaozhe Wen, Ying Cheng, Tingting Zhang, Tong Pan, Jie Wang, Jianhua Wang, Qun Sun, 2021
Adaptive robust learning framework for twin support vector machine classification, Ma J, Yang L, Sun Q, 2021
Genetic dissection of seed appearance quality using recombinant inbred lines in soybean, Quan Hu, Yanwei Zhang, Ruirui Ma, Jie An, Wenxuan Huang, Yueying Wu, Jingjing Hou, Dajian Zhang, Feng Lin, Ran Xu, Qun Sun, Lianjun Sun, 2021
Capped L1-norm Distance Metric-Based Fast Robust Twin Bounded Support Vector Machine, Ma J, Yang L, Sun Q, 2020
Non-destructive Analysis of Germination Percentage, Germination Energy, and Simple Vigor Index on Wheat Seeds during Storage by Vis/NIR and SWIR Hyperspectral Imaging, Tingting Zhang, Shuxiang Fan, Yingying Xiang, Shujie Zhang, Jianhua Wang, Qun Sun, 2020

Non-Destructive Seed Quality Testing Processing Storage Technology Research Agriculture Innovation Development

Shanxiang Jiang - Nanjing Agricultural University

Zugong Yu - Nanjing Agricultural University

Xiu Ge Gao - Nanjing Agricultural University

View All

Personal Information

Academic Information

Research

Contact us

No account yet?

Personal Information

Academic Information

Research

Contact us