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Qun Sun
Veterinary Medicine
China Agricultural University
Beijing
Language: Chinese, English
Non-Destructive
Seed Quality
Testing
Processing
Storage
Technology
Research
Agriculture
Innovation
Development
Areas of Focus
- Seed Quality Non-destructive Testing
- Seed Processing
- Seed Storage
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
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
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
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
