Professor at College of Engineering, Beijing Forestry University, China
Dr. Yandong Zhao is a leading researcher in smart forestry and precision agriculture. As a Professor at Beijing Forestry University, he has pioneered IoT-based irrigation systems and advanced plant water stress detection methods. His work integrates automation, environmental sensing, and intelligent forestry management to improve resource efficiency and sustainability. Dr. Zhao has led multiple National Key R&D projects and NSFC-funded research, contributing significantly to the field of agriculture and environmental engineering.
Publication Profile
Scopus
Educational Details
- Ph.D. in Agricultural Electrification and Automation (2002) – China Agricultural University, College of Information and Electrical Engineering (Advisor: Prof. Wang Yiming)
- M.S. in Agricultural Electrification and Automation (1999) – China Agricultural University, College of Information and Electrical Engineering (Advisor: Prof. Wang Yiming)
Professional Experience
Dr. Yandong Zhao is a Professor and Ph.D. advisor at the School of Engineering, Beijing Forestry University. He has been with the university since 2002, progressing from Lecturer (2002-2003) to Associate Professor (2003-2011), and later to Professor (2012-present). Over his career, he has led numerous national and provincial research projects focused on precision irrigation, environmental monitoring, and smart forestry technologies.
Research Interest
- Smart Forestry and Precision Agriculture – Development of IoT-based irrigation systems and environmental monitoring technologies.
- Plant Water Stress Detection – Using 3D imaging and soil moisture analysis for real-time monitoring.
- Ecological and Forestry Automation – Smart surveillance, pest control, and soil parameter detection in forests.
Author Metrics & Impact
- Publications: Numerous journal articles and conference papers on precision irrigation, environmental monitoring, and smart forestry technologies.
- Citations: His work has been cited extensively in the fields of agricultural automation and forestry engineering.
- Research Funding: Secured and managed over 10 national and provincial-level research grants.
Top Noted Publication
Three-Dimensional Segmentation Method of Soil Multi-Category Pores Based on Improved UNet-VAE Network
- Authors: Qiaoling Han, Meihui Song, Benye Xi, Yue Zhao, Yandong Zhao
- Journal: Transactions of the Chinese Society of Agricultural Engineering
- Summary: Proposes an enhanced UNet-VAE deep learning model for accurate 3D segmentation of soil pores, improving soil structure analysis in agricultural engineering.
Estimation of Relative Permittivity of Tree Root System Based on Ground Penetrating Radar
- Authors: Huiyun Liang, Guoqiu Fan, Yandong Zhao, Hao Liang
- Journal: Journal of Beijing Forestry University
- Summary: Uses ground-penetrating radar (GPR) to estimate the relative permittivity of tree roots, aiding non-destructive root system analysis for forestry applications.
Study on the Variation Characteristics and Influencing Factors of Stem Water Content of Acer truncatum During the Overwintering Period (Open Access)
- Authors: Zehai Xu, Yandong Zhao
- Journal: Journal of Plant Research
- Summary: Investigates stem water content changes in Acer truncatum during winter, analyzing seasonal variations and environmental influences.
- Citations: 1
Research on 3D Reconstruction Based on Improved Binocular Vision Algorithm
- Authors: Jiahao Zou, Yandong Zhao
- Journal: Journal of Optoelectronics Laser
- Summary: Develops an improved binocular vision algorithm for 3D object reconstruction, enhancing precision in forestry and agricultural imaging.
Interpretation of Sequence Characteristics and Influencing Factors of Stem Water Content for Acer pictum subsp. mono in its Growing Season (Open Access)
- Authors: Zehai Xu, Yandong Zhao
- Journal: Chinese Journal of Plant Ecology
- Summary: Examines water transport dynamics in Acer pictum subsp. mono during its growing season, assessing environmental and physiological influences.
Conclusion
Dr. Yandong Zhao is a strong contender for the Best Researcher Award, particularly in smart forestry, soil moisture analysis, and precision irrigation. His technical expertise, research leadership, and funding success demonstrate a high level of impact in agricultural automation and environmental sustainability.
To further enhance his candidacy, he could focus on publishing in top-tier journals, increasing international collaborations, and expanding the real-world applications of his research. If these areas are addressed, he would be an outstanding choice for this prestigious award.