1989.9-1993.7 萊陽爱游戏官网app作物專業,學士
1997.9-2000.7 中國農業大學作物遺傳育種專業,碩士
2002.4-2008.12 中國農業大學爱游戏官网app,講師
2005.9-2008.12 中國農業大學種子科學專業,博士
2008.12至今 中國農業大學爱游戏官网app,副教授,博導
主講課程:種子加工與貯藏;種科專業實習(1)、(2);種子創藝
主編教材:種子加工與貯藏(第二版)(2016,北京:高教出版社,2012年獲批北京市高等教育精品教材)
副主編教材:種子學(第二版)(2015,北京:科技出版社)
種子加工貯藏與檢驗實驗教程(2019, 北京:科學出版社)
種子活力測定技術手冊(3本)(2018,北京:中國農業大學出版社)
參編教材:種子生產學(2021,北京:高教出版社)
河西地區雜交玉米種子生產技術培訓手冊(2018,北京:中國農業大學出版社)
現代種子種苗實驗指南(2015,北京:中國農業出版社)
教育部高等學校種子科學與工程專業教學指導分委員會 祕書長
中國作物學會作物種子專業委員會 副祕書長
1.種子質量無損檢測
2.種子加工、貯藏
1、十三五國家重點研發計劃
2、中醫藥局項目中藥材種子加工項目
3、公益性行業(農業)科研專項
4、北京市科委項目
5、新疆建設兵團十二五規劃項目
6、農業部種子全程技術研究北京創新中心建設項目
1. Tingting Zhang, A. Charfedinne, Ian D. Fisk, Tong Pan, Jianhua Wang, Ni Yang*, Qun Sun*. Evaluation of volatile metabolites as potential markers to predict naturally-aged seed vigour by coupling rapid analytical profiling techniques with chemometrics. Food Chemistry,2021, doi130760
2. Keling Tu, Shaozhe Wen, Ying Cheng, Tingting Zhang, Tong Pan, Jie Wang, Jianhua Wang, Qun Sun*. A non-destructive and highly efficient model for detecting the genuineness of maize variety 'JINGKE 968' using machine vision combined with deep learning. Computers and Electronics in Agriculture, 2021, 182:106002
3. Ma J, Yang L, Sun Q. Adaptive robust learning framework for twin support vector machine classification[J]. Knowledge-Based Systems, 2021, 211: 106536.
4. Ma J, Yang L, Sun Q. Capped L1-norm Distance Metric-Based Fast Robust Twin Bounded Support Vector Machine[J]. Neurocomputing, 2020.(412): 295-311
5. Tingting Zhang, Shuxiang Fan, Yingying Xiang, Shujie Zhang, Jianhua Wang, Qun Sun*. Non-destructive Analysis of Germination Percentage, Germination Energy, and Simple Vigor Index on Wheat Seeds during Storage by Vis/NIR and SWIR Hyperspectral Imaging. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2020(239):118488
6. Tingting Zhang, Yingying Xiang, Liming Yang, Jianhua Wang, Qun Sun*. Wavelength Variable Selection Methods for Non-destructive Detection of the Viability of Single Wheat Kernel Based on Hyperspectral Imaging[J]. Spectroscopy and Spectral Analysis, 2019, 39(5): 1556-1562.
7. Tingting Zhang, Bin Zhao, Liming Yang, Jianhua Wang, Qun Sun*. Determination of Conductivity in Sweet Corn Seeds with Algorithm of GA and SPA Based on Hyperspectral Imaging Technique[J], Spectroscopy and Spectral Analysis, 2019, 39(8): 2608-2613.
8. Liming Yang∗, Boyan Yang, Shibo Jing, Qun Sun. A minimax probability extreme machine framework and its application in pattern recognition. Engineering Applications of Artificial Intelligence. 2019(81): 260–269.
9. Tingting Zhang, Wensong Wei, Bin Zhao, Ranran Wang, Mingliu Li, Liming Yang, Jianhua Wang, Qun Sun*. A Reliable Methodology for Determining Seed Viability by Using Hyperspectral Data from Two Sides of Wheat Seeds. Sensors, 2018, 18(3): 813.
10. TU Ke-ling, LI Lin-juan, YANG Li-ming, WANG Jian-hua, Qun Sun*. Selection for high quality pepper seeds by machine vision and classifiers,Journal of Integrative Agriculture 2018, 17(9): 60345-7
11. SUN Qun*,ZHU Liwei, ZHANG Wenjing, WANG Jianhua. Physical and Chemical Difference of Seed Coat Between Hard and Soft Seeds of Licorice (Glycyrrhiza Uralensis Fisch), Legume Research, 2018, 41(3): 441-446
12. 張婷婷,孫羣*,楊磊,楊麗明,王建華. 基於電子鼻傳感器陣列優化的甜玉米種子活力檢測. 農業工程學報,2017, 33(21): 275-281
13. Yang Liming, Sun Qun. Comparison of chemometric approaches for near-infrared spectroscopic data. Analytical Methods, 2016, 8(8): 1914-1923
14. Kaixia Wen, Zongming Xie, Liming Yang, Baoqi Sun, Jianhua Wang and Qun Sun*. Computer vision technology determines optimal physical parameters for sorting JinDan 73 maize seeds. Seed Science and Technology, 2015, 43: 62-70
15. Liming Yang, Yongping Gao, Qun Sun. A new minimax probabilistic approach and its application in recognition the purity of hybrid seeds. Computer Modeling in Engineering & Sciences, 2015, 104: 493-506
16. 彭江南,謝宗銘,楊麗明,王建華,孫寶啓,孫羣*. 基於Seed Identification軟件的棉籽機器視覺快速精選, 農業工程學報,2013,29(23): 147-152
17. Yang Liming, Sun Qun. Recognition of the hardness of licorice seeds using a semi-supervised learning method and near infrared spectral data. Chemo metrics and Intelligent Laboratory Systems, 2012, 114: 109-115
18. Zhu Liwei, Huang Yanyan, Wang Qing, Ma Hanxu, Sun Baoqi,Sun Qun*. Nondestructive Identification of Hard seeds of Three Legume Plants Using Near Infrared Spectroscopy .Transaction of the Chinese Society of Agricultural Engineering.2012, 28(supp.2):237-242
19. Wang Qing, Xue Weiqing, Ma Hanxu, Li Junhui, Sun Baoqi, Sun Qun*. Quantitative Analysis of Seed Purity for Maize Using Near Infrared Spectroscopy. Transaction of the Chinese Society of Agricultural Engineering.2012,28(supp.2):259-264
20. 向瑩瑩,李浩卓,張婷婷,王建華,孫羣*. 電導率法早期檢測玉米和小麥種子活力. 中國農業大學學報,2020,25(06): 12-19.
21. 程瑩,李浩卓,張婷婷,王建華,孫羣*. 噴淋發芽箱的設計、製作及噴淋發芽檢測方法的確定. 中國農業大學學報,2020,25(12): 01-08.
22. 張婷婷, 趙賓, 楊麗明, 王建華, 孫羣*. 基於電子鼻技術的小麥種子活力鑑別, 中國農業大學學報,2018,23(9):123-130
23. 葉鳳林,李琳,楊麗明,王建華,孫羣*. 應用機器視覺技術篩選射幹種子精選指標的研究. 中國農業大學學報,2016,21(8):119-124
24. 葉鳳林,李琳,楊麗明,王建華,孫羣*. 基於機器視覺的黃芩種子精選技術研究. 種子,2016, 35(11): 100-104
25. 賈佳, 王建華, 謝宗銘, 楊麗明, 孫寶啓, 孫羣*.計算機圖像識別技術在小麥種子精選中的應用,中國農業大學學報,2014,19(5): 180-186
26. 孫羣*,王慶,薛衛青,馬晗煦,孫寶啓,謝宗銘. 無損檢測技術在種子質量檢驗上的應用研究進展.中國農業大學學報,2012, 17(3): 1-6.
27. 黃豔豔,朱麗偉,李軍會,王建華,孫寶啓,孫羣*. 應用近紅外光譜技術快速鑑別玉米雜交種純度的研究. 光譜學與光譜分析, 2011,31(3): 661-664(SCI)
28. 黃豔豔,朱麗偉,馬晗煦,李軍會,孫寶啓,孫羣*. 應用近紅外光譜技術定量分析雜交玉米純度的研究 .光譜學與光譜分析, 2011,31(10):2706-2710
29. 孫羣,李欣,李航,吳坷,李軍會,王建華,孫寶啓. 烏拉爾甘草種子硬實率的近紅外光譜分析.光譜學與光譜分析, 2010, 30(1): 70-73.
30. 種子形態自動化識別軟件,2013,軟件著作權號:2013SRBJ0528
31. 小麥幼苗自動測量軟件,2015,軟件著作權:2015SRBJ0509
32. 基於計算機視覺的種子表型全自動化提取系統(Phenoseed). 2019,軟著登字第4855647號
33. 推拉式垂直板種子發芽裝置,2015,發明專利ZL201410376643.6,
34. 種子碰撞試驗裝置及耐損傷能力檢測方法,2017,發明專利ZL 201610089935.0