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QI Yaqin

Professional TitleAssociate Professor

Emailqiyq@aircas.ac.cn

祁亚琴
Curriculum Vitae

QI Yaqin, Postdoctoral fellow of Peking University, Associate Professor of AIR-CAS

Education:

201611-201711, Visiting Scholar at GSU (Governors State University), USA.

201309-201409, Visiting Scholar at School of Earth and Space Sciences, Peking University.

200807-201112, Ph.D. (Agronomy) Shihezi University

200309-200607, M.S. (Agronomy) Shihezi University

199909-200307, B.S. (Agronomy) Shihezi University

Research experience:

202501-Far, Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), State Key Laboratory of Remote Sensing and Digital Earth,Associate Researcher.

202009-202412, Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS),

 State Key Laboratory of Remote Sensing Science (SLRSS), Associate Researcher.

201809-202001, Agriculture Bureau, Yanqing District, Beijing.

201604-202203, Postdoctoral Fellow, School of  Earth and Space Science, Peking University.

201203-201604, Agronomy, Shihezi University, Associate Professor, Master Supervisor.

200608-201202, Agronomy, Shihezi University, Lecturer.


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Research Fields

Mainly engaged in Agricultural Teaching and Application by Hyperspectral Remote Sensing Technology; 

Digital Precision Agriculture and Future Agricultural Research.


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Awards and Honors

201612, Won the First prize of  the National Agriculture, Animal Husbandry and Fishery Harves Award (No.7);

201812, Won the Second Prize of  the Corps' Scientific and Technological Progress in 2018(No 9).

201910, Chinese Farmers Harvest Festival- High-quality Agricultural Products Promotion Golden Harvest Award;

201911, The National Natural Science Foundation of China Outstanding Young Scientist to Zhejiang

-Promoting the transformation and application of scientific and technological achievements;

202008, Second Prize of the 4th "China Creation Wing" and the 3rd "Entrepreneurship Beijing" Innovation and Entrepreneurship Competition;

202006, Tsinghua University "Innovation, Entrepreneurship, Creativity" Competition -"Smart Agriculture"& "Future City"award first prize;

202112, The first prize of the the global finals "Human Settlement Environment and Rural Revitalization"Competition for Tsinghua University's innovations;

202201, Award of "Excellent Staff" by Aerospace Information Research Institute, Chinese Academy of Sciences;

202202, Award as "Fenglu Talents" in Ningbo City, Zhejiang Province.

202206, The "2021 Global Ecological Environment Remote Sensing Monitoring Report" co authored in 2022 was awarded the "Top Ten Research Advances in Chinese Geographic Science";

202502, Award of "Excellent Staff" by Aerospace Information Research Institute, Chinese Academy of Sciences;

202506, Award of the Best Researcher Award in Biological Spectroscopy by the International Organization of Optics.


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Selected Publications

Published works

Remote Sensing Monitoring Green Paper-China Sustainable Development Remote Sensing

Monitoring Report 2017".Social Science Literature Press. 2018,6. Co-editor

Editor-in-Chief of the Modern Agriculture by " 3S "Technology Application in Xinjiang Oasis.

Xinjiang Science and Technology Press,2021,3.

Editor-in-chief of The Research on Extracting Farmland Soil Nutrient Information by Hyperspectral 

Data.Xinjiang Science and Technology Press,2021,3.

2021 Annual Report on Remote Sensing Monitoring of the Global Ecological Environment. Science and Technology Press. 2022 (to be published) Co-editor.

Patent

1.Recommendation Information Service System of Web Management and Mobile applet Application. (201811491806.X) (No.1)

2.Monitoring and Query System for Crop Production Online (201811592815.5) (No.1)

3.A System for long-Distance line Instrument Signal Remote Transmission and Power Supply

(ZL201420164599.8) (No.1)

4.Precision Spraying System of Rotor-wing UAV by RTK Technology (201621408534.9) (No.1)

Software works

1.Smart Phone Applet Agricultural Policy Push Platform V1.0 (2019SR0124994) (No.1)

2.Crop Production Monitoring and Statistics Platform V1.0 (2019SR0125002) (No.1)

3.Crop Management Platform V1.0 (2019SR0067142) by Smart Phone APP Application (No.1)

Journal & Conference Published

1. Yaqin Qi; Chen Xi; Zhenchao Chen; Zhang Xin; Shen CongJu; Chen Yan; Peng Yuanying; Chen Bing, Wang Qiong; Liu Taijie; Zhang Hao; Cotton Canopy Structure Parameters Estimation ModelResearch Based on Spectral Vegetation Index, life, 2025, 15(1), 62.

2. Xuejia Huang; Yuanying Peng; Wende Yan; Tianyi Yan; Xiaocui Liang; Junjie Lei; Xiaoyong Chen; Yaqin Qi*; Aboveground and Belowground Input Effects on Soil Health in Urban Camphor Tree Forests, Sustainability, 2025, 17(14): 6358.

3. He Ping; Yan Wende; Peng, Yuanying; Lei Junjie; Zheng Wei; Zhang Yi; Qi Yaqin; Chen  Xiaoyong. Seasonal dynamics of soil respiration and its autotrophic and heterotrophic components insubtropical camphor forests. Forests. 2023, 14(12).

4. Wang Zhong; Yan Wende; Peng Yuanying; Wan Meng; Farooq Taimoor Hassan; Fan Wei; Lei Junjie; Yuan, Chenglin; Wang, Wancai; Qi, Yaqin; Chen Xiaoyong. Biomass production and carbon stocks in poplar-crop agroforestry chronosequence insubtropical central China. Plants,18 April 2023.12(13).

5. Cao, Juan; Yan, Wende; Farooq, Taimoor Hassan;  Chen, Xiaoyong; Wang, Jun; Yuan, Chenglin; Qi, Yaqin; Khan, Khalid Ali; Ecological Stoichiometry of N and P across a Chronosequence of Chinese Fir Plantation Forests. Forests. 2023.14(8).

6. Ma Yiru; Lv Xin; Yi Xiang; Malulu; Qi Yaqin; Hou Tongyu; Zhang Ze's monitoring of cotton leaf area index based on machine learning Journal of Agricultural Engineering, 2021 (13): 152-162.

7. Ma Yiru; Lv Xin; Qi Yaqin; Zhang Ze; Yi Xiang; Chen Xiangyu; Yan Tianxing; Hou Tongyu Construction of a monitoring model for defoliation rate of machine picked cotton based on drone digital images Cotton Journal.2021(4):33.

8. Qi Yaqin; Zhang Xianfeng; Zhang Lifu; Lv Xin; Zhang Ze; Chen Jian; Li Xinwei; Wang Fei; Peng Kui; Research on the spatial distribution of soil organic matter content based on normalized spectral index. Xinjiang Agricultural Science. 2018, 55 (2): 337-343.

9. Qi Yaqin; Zhang Xianfeng; Zhang Lifu; Lv Xin; Zhang Ze; Chen Jian; Li Xinwei; Wang Fei; Peng Kui Research on the Estimation Model of Soil Nutrient Content in Farmland Based on Hyperspectral Data. Xinjiang Agricultural Science, 2018, 55 (3): 490-495.

10. Qi Yaqin; Lv Xin; Shao Yulin; Feng Bo; Chen Jian; Li Xinwei, Zhang Ze. Research on Soil Organic Matter Content Prediction Based on Hyperspectral Data.Xinjiang Agricultural Science,2014,5(7).

11. Yaqin Qi, Xin LV. Research of Cotton Canopy Characteristic Information by Hyperspectral Remote Sensing Data . The 8th International Conference on Computer Science & Education ICCSE-IEEE 2013: 892-896.

12. Hui Yong, Yaqin Qi*. Agriculture Development and Water Resources Utiltzation Technology Advancement in Tarim River Basin. The 4th International Symposium for Farming Systems Design, 19-22 August 2013 Lanzhou, China.2013:129-130.

13. Qi Yaqin; Lv Xin; Shao Yulin; Feng Bo; Chen Jian; Li Xinwei; Zhang Ze Research progress on extracting soil nutrient information based on hyperspectral data. China Agricultural Science Bulletin, 2014, 30 (12), 28-31.

14. Qi Yaqin; Liu Jianguo; Zhang Ze A preliminary exploration of the elective course of World Agricultural Expo Curriculum Education Research. 2016, 31:220.

15. Qi Yaqin,Teaching and Practice of Graduate Course "Spectral Diagnosis of Crop Seed Health" by Course Education Research. 2016, 35:245.

16. Qi Yaqin; Liu Jianguo; Paniguli; Zhang Wei; Wang Jiangli Teaching Practice of Introduction to Agronomy Course Curriculum Education Research.2014(10),247.

17. Qi Yaqin; Liu Jianguo; Paniguli; Wang Jiangli; Zhang Wei; Zhang Ze Preliminary exploration of teaching the course "Introduction to Agricultural Standardization" Curriculum Education Research. 2015, 34.

18. Qi Yaqin, Lv Xin, Chen Guanwen, Chen Yan, Yang Kun Research on Extracting Cotton Canopy Feature Information Based on Hyperspectral Data, Cotton Journal, 2011, 02 (02): 167-171.

19. Qi Yaqin, Lv Xin, Chen Guanwen, Chen Yan, Yang Kun Research on Estimation Model of Cotton Field Canopy Feature Information Based on Hyperspectral Vegetation Index. Cotton Journal. 2011, 23 (5): 476-480.

20. Qi Yaqin; Wang Dengwei; Chen Guanwen; Huang Chunyan; Duan Zhenyu; Chen Yan; Yuan Jie; Yang Kun Research progress on extracting crop canopy feature information based on hyperspectral data. Cotton Journal, 2005, 17 (6), 371-375.

21. Qi Yaqin; Chen Guanwen; Wang Dengwei; Duan Zhenyu; Liu Zhongyuan; Ren Hui Investigation and Study on Early Aging of Red Leaves during Cotton Blossoming and Belling Period in Northern Xinjiang. Xinjiang Agricultural Reclamation Technology, 2005, (1),6-8.

Academic Exchange

20240527, Advanced Seminar on Principles and Applications of Artificial Intelligence Technology in the University of Chinese Academy of Sciences, and completed the course (China);

20240105, 2023 annual report of global ecological environment remote sensing monitoring (Ministry of Science and Technology);

20231110, The 7th National Symposium on Imaging Spectroscopy for Earth Observation (Guangzhou);

20231026, The Third Advanced Seminar on the Application of Quantum Information Technology of the Chinese Academy of Sciences (University of Science and Technology of China);

20230820, The 22nd China Remote Sensing Conference (Changzhou);

20230517, GEO Global Ecosystem Atlas organized by the Earth Observation Organization (Geneva);

20230427, GEO work plan seminar of the Earth Observation Organization (Beijing);

20230226, The 7th International Organization Middle and Senior Talent Capability Enhancement Training Course of the Personnel Department of the Ministry of Science and Technology, and graduated (Changchun);

20211126, GEO Week 2021 Side Event-GEOARC Support to SDGs (online);

20211105, AOGEO-TG7 Environmental Monitoring and Protection Workshop (online);

20210726 The 23rd Chinese Association for Science and Technology Annual Conference Agricultural Digitalization Summit Forum(Beijing);

20210709, Technology Translation and English Writing Training of Chinese Academy Sciences ;

20210612, Brainstorm on how AOGEO move forward-14Th AOGEO Plenay Session(online);

20210622, GEO Virtual Symposium 2021(Beijing);

20210424, Chinese Space Day - Satellite Application Service Digital Economy Development Forum(Nanjing);

20210305 , 13th AOGEO Symposium(online);

20190915, The 5th National Symposium on Imaging Spectroscopic Earth Observation (Urumqi);

20191018, Winter Expo "Science and Technology Winter Olympics" Beijing Yanqing Smart Water Science and Technology Achievement Exhibition (Beijing);

20191128, National Natural Science Foundation of China Distinguished Scientist to Zhejiang;

20190125, Remote Sensing Assists Capital Rural Revitalization Symposium (Beijing).


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