李江波，1982年2月出生，2001年9月至2008年6月本科及硕士就读于伟德国际1946源自英国，师从坎杂教授，2008年9月至2012年3月博士就读于浙江大学，师从应义斌教授，随后在赵春江院士团队做博士后研究，现为北京市农林科学院智能装备技术研究中心研究员。主要从事农产品品质和安全快速无损检测技术和智能分级装备研究。入选北京市科技新星计划、北京市委组织部青年拔尖人才，获中国农业工程学会青年科技奖。先后承担国家自然科学基金、国家重点研发计划课题、国家科技支撑计划子课题等项目15项；第一及通讯作者发表SCI论文36篇，累计影响因子大于130；获国家发明专利25项，软件著作权11项；主编出版中/英文著作3部。作为主要完成人获科研成果奖励3项。兼职伟德国际1946源自英国绿洲学者，客座教授，博士生导师，新疆农业大学、广西大学、天津科技大学、河南科技大学等学校硕士生导师。国际期刊《Artificial Intelligence in Agriculture》副主编，期刊《Frontiers in Plant Science》专栏主编，期刊《智慧农业（中英文）》青年编委，中国仪器仪表学会近红外光谱分会常务理事，中国农业工程学会青年工作委员会委员。

 Email：lijb@nercita.org.cn; jbli2011@163.com

 Tel. 13683557791  010-51503684

教育背景（按时间倒排序）

2008.09-2012.03       浙江大学      农业电气化与自动化专业           博士

2005.09-2008.07       伟德国际1946源自英国    农业机械化工程专业               硕士

2001.09-2005.07       伟德国际1946源自英国    农业机械化及其自动化专业         本科

出访及挂职经历

2018.09-2018.12       美国密歇根州立大学        访问学者

研究领域

1. 农产品品质与安全评估

2. 农产品分级系统开发

3. 计算机视觉和机器学习

4. 高光谱和多光谱成像

5. 近红外光谱分析和建模

科研项目

1. 国家自然科学基金面上项目, 编号31972152, 宽波段多频复合结构光深度辨析增强成像检测柑橘皮下微腐烂研究, 2020.01-2023.12, 65万元, 主持

2. 北京市委组织部青年拔尖人才项目, 编号2018000021223ZK06, 水果复杂非均相体系近红外光谱新型定量分析模型构建方法研究, 2020.01-2022.12,50万元, 主持

3. 国家重点研发计划课题, 编号2018YFD0101004, 全过程种子质量检测技术装备研制与应用, 2018.06-2020.12, 550万元, 主持

4. 国家自然科学基金面上项目, 编号31772052, 水果内部复杂非均相体系综合质量全透射高光谱成像无损检测方法研究, 2018.01-2019.12, 30万元, 主持

5. 国家自然科学基金青年基金, 编号31401283, 指状青霉和意大利青霉感染的早期腐烂柑橘高光谱成像快速检测方法研究, 2015.01-2017.12, 22万元, 主持

6. 国家科技支撑计划子课题, 编号2015BAD19B03-3, 哈密瓜、香梨糖度便携式检测仪研发, 2015.04-2018.03, 198万元, 主持

7. 北京市科技新星, 编号Z171100001117035, 水果糖度在线检测模型优化及系统应用研究, 2017.01-2019.12, 35万元, 主持

8. 北京市农林科学院创新能力建设专项, 编号KJCX20170417, 梨果糖度和霉心病同步在线无损检测方法与设备, 2017.01-2019.12, 90万元, 主持

9. 北京市农林科学院青年基金, 编号QNJJ201528, 基于高光谱成像技术的核果类水果内部可溶性固形物和外部隐性损伤同检研究, 2015.01-2017.12, 15万元, 主持

10. 中国博士后基金, 编号2012M520193, 鸭梨内部品质的高光谱-成像无损检测方法研究, 2012.11-2014.08, 5.0万元, 主持

代表性科研成果（代表性论文、著作、专利等）

1. Zheli Wang,Xi Tian,Shuxiang Fan,Chi Zhang,JiangboLi*. Maturity determination of single maize seed by using near-infrared hyperspectral imaging coupled with comparative analysis of multiple classification models. Infrared Physics & Technology, 2021, 112, 103596. SCI

2. Zheli Wang,Shuxiang Fan,JingzhuWu,Chi Zhang,Fengying Xu,Xuhai Yang*,Jiangbo Li*. Application of Long-Wave Near Infrared Hyperspectral Imaging for Determination of Moisture Content of Single Maize Seed. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2021, 5(254), 119666. SCI

3. Jiangbo Li, Hailiang Zhang, Baishao Zhan, Yifei Zhang, Ruili Li, Jingbin Li*. Nondestructive firmness measurement of the multiple cultivars of pears by Vis-NIR spectroscopy coupled with multivariate calibration analysis and MC-UVE-SPA method. Infrared Physics & Technology, 2020, 104, 103154. SCI

4.  Shuxiang Fan, Qiangyan Wang, Xi Tian, Guiyan Yang, Yu, Xia, Jiangbo Li*, Wenqian Huang*. Non-destructive evaluation of soluble solids content of apples using a developed portable Vis/NIR device.  Biosystems Engineering, 2020, 193, 138-148. SCI

5.  Xi Tian, Qingyan Wang, Wenqian Huang, Shuxiang Fan, Jiangbo Li*. Online detection of apples with moldy core using the Vis/NIR full transmittance spectra. Postharvest Biology and Technology, 2020, 168, 111269. SCI

6.  Xi Tian, Shuxiang Fan, Wenqian Huang, Zheli Wan, Jiangbo Li*. Detection of early decay on citrus using hyperspectral transmittance imaging technology coupled with principal component analysis and improved watershed segmentation algorithms. Postharvest Biology and Technology, 2020, 161, 111071. SCI

7.  Z. Zhang*, C. Igathinathane*, J. Li*, H. Cen, Y. Lu, P. Flores. Technology progress in mechanical harvest of fresh market apples. Computers and Electronics in Agriculture, 2020, 175, 105606. SCI

8.  Chen Liu, Wenqian Huang, Guiyan Yang, Qingyan Wang, Jiangbo Li*, Liping Chen*. Determination of starch content in single kernel using near-infrared hyperspectral images from two sides of corn seeds. Infrared Physics and Technology, 2020, 110, 103462. SCI

9.  Yu Xia, Shuxiang Fan, Xi Tian, Wenqian Huang, Jiangbo Li*. Multi-factor fusion models for soluble solid content detection in pear (Pyrus bretschneideri ‘Ya’) using Vis/NIR online half-transmittance technique. Infrared Physics and Technology, 2020, 110, 103443. SCI

10.  Zhiqiang Zhai, Zuohui Jin, Jiangbo Li*, Mengyun Zhang, Ruoyu Zhang*. Machine learning for detection of walnuts with shriveled kernels by fusing weight and image information. Journal of Food Process Engineering, 2020, e13562. SCI

11.  Zheli Wang, Yifei Zhang, Shuxiang, Fan, Yinglan Jiang*, Jiangbo Li*. Determination of Moisture Content of Single Maize Seeds by Using Long-Wave Near-Infrared Hyperspectral Imaging (LWNIR) Coupled with UVE-SPA Combination Variable Selection Method, IEEE Access, 2020, 8, 195229-195239. SCI

12. Jiangbo Li*, Wei Luo, Zheli Wang, Shuxiang Fan. Early detection of decay on apples using hyperspectral reflectance imaging combining both principal component analysis and improved watershed segmentation method. Postharvest Biology and Technology, 2019, 149: 235-246. SCI

13. Jiangbo Li, Qingyan Wang, Lu Xu, Xi Tian, Yu Xia, Shuxiang Fan*. Comparison and optimization of models for determination of sugar content in pear by portable Vis-NIR spectroscopy coupled with wavelength selection algorithm. Food Analytical Methods, 2019, 12(1), 12-22. SCI

14. Jiangbo Li,Hailiang Zhang*,Baishao Zhan,Zheli Wang,Yinglan Jiang*. Determination of SSC in pears by establishing the multi-cultivar models based on visible-NIR spectroscopy. Infrared Physics & Technology, 2019, 102, 103066. SCI

15. Jiangbo Li, Ruoyu Zhang, Jingbin Li, Zheli Wang, Hailiang Zhang, Baishao Zhan*, Yinglan Jiang*. Detection of early decayed oranges based on multispectral principal component image combining both bi-dimensional empirical mode decomposition and watershed segmentation method. Postharvest Biology and Technology, 2019, 158, 110986. SCI

16.  Dongyan Zhang, Lu Xu, Qingyan Wang, Xi Tian, Jiangbo Li*. The optimal local model selection for robust and fast evaluation of soluble solids content in melon with thick peel and large size by Vis-NIR spectroscopy. Food Analytical Methods, 2019, 12(1), 136-147. SCI

17. Jiangbo Li, Shuxiang Fan, Wenqian Huang*. Assessment of multi-region local models for detection of SSC of whole peach (Amygdalus persica L.) by combining both hyperspectral imaging and wavelength optimization methods. Journal of Food Process Engineering. 2018. SCI

18. Jiangbo Li, Liping Chen*. Wenqian Huang. Detection of early bruises on peaches (Amygdalus persica L.) using hyperspectral imaging coupled with improved watershed segmentation algorithm. Postharvest Biology and Technology, 2018, 135,104-113. SCI

19.  Xi Tian, Qingyan Wang, Jiangbo Li*, Fa Peng, Wenqian Huang*. Non-destructive prediction of soluble solids content of pear based on fruit surface feature classification and multivariate regression analysis. Infrared Physics and Technology, 2018, 92, 336-344. SCI

20.  Lu Xu, Dongyan Zhang, Jiangbo Li*. Near-infrared light penetration depth analysis inside melon with thick peel by a novel strategy of slicing combining with least square fitting method. Journal of Food Process Engineering. 2018, 41(7), e12886. SCI

21. Jiangbo Li, Liping Chen*. Comparative analysis of models for robust and accurate evaluation of soluble solids content in ‘Pinggu’ peaches by hyperspectral imaging. Computers and Electronics in Agriculture. 2017, 142, 524-535. SCI

22. Jiangbo Li, Wenqian Huang, Xi Tian, Chaopeng Wang, Shuxiang Fan, Chunjiang Zhao*. Fast detection and visualization of early decay in citrus using Vis-NIR hyperspectral imaging. Computers and Electronics in Agriculture, 2016, 127, 582-592. SCI

23. Jiangbo Li*, Xi Tian, Wenqian Huang*, Baohua Zhang, Shuxiang Fan. Application of long-wave near infrared hyperspectral imaging for measurement of soluble solids content (SSC) in pear. Food Analytical Methods, 2016, 9(11), 3087-3098. SCI

24. Jiangbo Li, Liping Chen*, Wenqian Huang, Qingyan Wang, Baohua Zhang, Xi Tian, Shuxiang Fan, Bin Li. Multispectral detection of skin defects of bi-colored peaches based on Vis-NIR hyperspectral imaging. Postharvest Biology and Technology, 2016, 112, 121-133. SCI

25. Jiangbo Li*, Wenqian Huang, Chunjiang Zhao. Machine vision technology for detecting the external defects of fruits—a review. The Imaging Science Journal, 2015, 63(5), 241-251. SCI

26. Jiangbo Li*, Wenqian Huang, Liping Chen, Shuxiang Fan, Baohua Zhang, Zhiming Guo, Chunjiang Zhao*. Variable selection in visible and near-infrared spectral analysis for noninvasive determination of soluble solids content of ‘Ya’ pear. Food Analytical Methods, 2014, 7(9), 1891-1902. SCI

27. Jiangbo Li, Chunjiang Zhao*, Wenqian Huang, Chi Zhang, Yankun Peng. A combination algorithm for variable selection to determine soluble solid content and firmness of pears. Analytical Methods, 2014, 6, 2170-2180. SCI

28. Jiangbo Li, Xiuqin Rao, Fujie Wang, Wei Wu, Yibin Ying*. Automatic detection of common surface defects on oranges using combined lighting transform and image ratio methods. Postharvest Biology and Technology, 2013, 82, 59-69. SCI

29. Jiangbo Li, Wenqian Huang, Chunjiang Zhao*, Baohua Zhang. A comparative study for the quantitative determination of soluble solids content, pH and firmness of pears by Vis/NIR spectroscopy. Journal of Food Engineering, 2013, 116(2), 324-332. SCI

30. Jiangbo Li*, Wenqian Huang, Chi Zhang. Detection of wormhole in maize based on kernel RGB image and lighting transformation method. Advance Journal of Food Science and Technology, 2013, 5(1), 63-67. SCI

31. Jiangbo Li, Xiuqin Rao*, Yibin Ying. Development of algorithms for detecting citrus canker based on hyperspectral reflectance imaging. Journal of the Science of Food and Agriculture, 2012, 92(1), 125-134. SCI

32. Jiangbo Li, Xiuqin Rao*, Yibin Ying. Detection of common defects on oranges using hyperspectral reflectance imaging. Computers and Electronics in Agriculture, 2011, 78(1), 38-48. SCI

奖励与荣誉

一、科技奖励

1.  2020年  河南省科学技术进步三等奖（排名第3）

2.  2019年  河南省教育厅科技成果奖励二等奖（排名第2）

3.  2018年  河南省教育厅科技成果奖励一等奖（排名第3）

成果名称：图像处理在精准施药和水果质量评估中的关键技术研发与应用

二、获得荣誉

4.  2021年   “建党100周年”北京市农林科学院优秀共产党员

5.  2019年   中国农业工程学会第八届青年科技奖

6.  2019年   入选北京市委组织部青年拔尖人才

7.  2019年   北京市农林科学院“优秀职工奖”

8.  2019年   入选北京市科技新星计划

9.  2017年   北京农业信息技术研究中心“优秀职工奖”

10.  2016年   中国农业工程学会特别优秀论文奖

11.  2015年   北京市农林科学院“优秀职工奖”

12.  2014年   北京农业信息技术研究中心“优秀职工奖”

13.  2013年   北京农业信息技术研究中心“优秀职工奖”

14.  2013年   第12届北京青年优秀科技论文三等奖

15.  2012年   浙江大学2012届优秀毕业研究生

16.  2012年   浙江大学IBE团队“年度优秀博士生奖”

17.  2011年   浙江大学三好研究生

18.  2011年   浙江大学优秀研究生一等奖荣誉

19.  2011年   浙江大学东芝奖学金