Associate Researcher/Associate Professor, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Yaqin Qi is an Associate Researcher and Associate Professor at the Aerospace Information Research Institute (AIRCAS) under the Chinese Academy of Sciences, specializing in hyperspectral remote sensing technology for agricultural applications. With a Ph.D. in Agronomy from Shihezi University, Yaqin’s academic journey includes visiting scholar positions at Governors State University (USA) and Peking University. His career spans various academic and research roles, and he has contributed significantly to agricultural innovation, particularly in precision agriculture and remote sensing. Yaqin is involved in both fundamental research and industry-driven projects that leverage remote sensing to optimize agricultural practices. As a Principal Investigator (PI) and Co-PI on several national and international research projects, his work continues to bridge the gap between research and real-world agricultural challenges, particularly focusing on cotton field monitoring, soil nutrient analysis, and vegetation health.
Profile
Orcid
Education
Yaqin Qi completed his B.S. (Agronomy) in 2003, M.S. (Agronomy) in 2006, and Ph.D. (Agronomy) in 2011, all at Shihezi University. His educational pursuits further extended with notable visiting scholar positions, including at the School of Earth and Space Sciences at Peking University in 2013-2014, and at Governors State University (GSU), USA, from 2016-2017. At GSU, Yaqin contributed to research focused on remote sensing technology in agriculture. His educational background has equipped him with a deep understanding of agronomy, remote sensing, and digital precision agriculture, which he has utilized in his research and teaching. His research focus has always aligned with integrating advanced technological methods into agricultural practices, contributing significantly to the development of tools for precision farming.
Experience
Yaqin Qi’s professional experience spans both academia and industry. He has served as an Associate Researcher at the Aerospace Information Research Institute (AIRCAS) since 2020, contributing to the State Key Laboratory of Remote Sensing Science (SLRSS). Prior to this, Yaqin held various teaching and research positions, including a postdoctoral fellowship at Peking University’s School of Earth and Space Sciences (2016-2022), where he focused on remote sensing for agriculture. He also worked as an Associate Professor at Shihezi University, where he supervised master’s students and engaged in agronomy research. From 2018 to 2020, Yaqin worked with the Agriculture Bureau of Yanqing District, Beijing, focusing on agricultural management and technological applications in remote sensing. His professional career has centered on advancing the use of hyperspectral remote sensing and data analytics in agriculture, enhancing crop monitoring and precision farming practices, making significant contributions to the field of agricultural technology.
Research Focus
Yaqin Qi’s research focuses primarily on leveraging hyperspectral remote sensing technology to advance precision agriculture. His work explores spectral vegetation indices derived from remote sensing data, offering critical insights into vegetation health, biomass estimation, and crop yield predictions. He has made significant contributions to developing estimation models for cotton canopy structure parameters and biomass based on hyperspectral data. These models help in optimizing cotton planting and field management by offering accurate predictions of crop performance. His ongoing research also delves into soil nutrient extraction and monitoring, helping farmers enhance soil health and crop productivity. In addition, Yaqin’s work in digital precision agriculture seeks to merge remote sensing with big data, providing new opportunities for data-driven agricultural practices. His work has broad applications in improving agricultural productivity, sustainability, and environmental monitoring, providing valuable resources for both academic research and industry.
Publications
- Research on Estimation Model for Cotton Canopy Structure Parameters Based on Spectral Vegetation Index 🌿
- Estimation Model for Cotton Canopy Structure Parameters Based on Hyperspectral Vegetation Index 🌱
- Seasonal Dynamics of Soil Respiration and Its Autotrophic and Heterotrophic Components in Subtropical Camphor Forests 🌳