Wenbo Wei, Ph.D., Lecturer. He received his Ph.D. degree in Agricultural Mechanization Engineering from the College of Engineering, Nanjing Agricultural University, China, in June 2026, and joined the College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, in July 2026.
His research focuses on autonomous navigation and unmanned operation systems for intelligent agricultural machinery. His research interests include artificial intelligence (e.g., autonomous navigation and multi-machine cooperative control), intelligent agricultural and forestry equipment (e.g., harvesting equipment for staple crops and intelligent mobile platforms), and numerical simulation using discrete element methods (e.g., MBD–DEM and CFD–DEM).
He has participated in several research projects, including projects funded by the National Natural Science Foundation of China (NSFC) and the National Key Research and Development Program of China. He has published more than 10 academic papers and has been granted or applied for six Chinese invention patents. He also serves as a reviewer for several leading journals, including Information Processing in Agriculture and Geoderma.
Students with backgrounds in agricultural engineering, mechanical engineering, artificial intelligence, electronic and information engineering, and related disciplines are welcome to contact him for academic discussion and research opportunities. Students who are interested in pursuing postgraduate study are especially encouraged to get in touch at an early stage. Outstanding undergraduate students are also welcome to join the research group in advance and participate in research projects to gain research experience and develop their academic skills.
Email: weiwenbo@zafu.edu.cn
Selected Publications
1.Wei, W., Wang, H., Xiao, M.*, Zhu, Y., Li, D., Xu, X., Guo, P., Xie, C., Zheng, H. (2026). Adaptive compensation method for navigation positioning errors considering the vibration characteristics of a combine harvester. Artificial Intelligence in Agriculture, 16(1), 695–710. (JCR Q1; TOP journal; IF = 16.1)
2.Wei, W., Xiao, M.*, Wang, H., Zhu, Y., Xie, C., Geng, G. (2024). Research progress of multiple agricultural machines for cooperative operations: A review. Computers and Electronics in Agriculture, 227, 109628. (JCR Q1; TOP journal; IF = 10.3)
3.Wei, W., Xiao, M.*, Duan, W., Wang, H., Zhu, Y., Zhai, C., Geng, G. (2024). Research progress on autonomous operation technology for agricultural equipment in large fields. Agriculture, 14(9), 1473. (JCR Q1; IF = 4.5)
4.Wei, W., Xiao, M.*, Niu, Y., He, M., Chen, Z., Yuan, G., Zhu, Y. (2026). GABES-LSTM-based method for predicting draft force in tractor rotary tillage operations. Agriculture, 16(3), 297. (JCR Q1; IF = 4.5)
5.Wei, W., Li, J., Hao, J.*, Xiao, M., Zhang, H. (2024). Multi-parameter collaborative optimization of vibrating screen based on the behavior of oil sunflower seeds penetrating sieve holes. International Journal of Agricultural and Biological Engineering, 17(1), 49–58. (JCR Q2; IF = 3.1)
6.Wei, W., He, M., Qi, Z., Xie, C., Liu, Z., Xiao, M.*. (2026). MPPI path-tracking control method for tracked harvesters considering the effect of slip. Transactions of the Chinese Society for Agricultural Machinery, 57(8), 89–99. (EI indexed)
7.Wei, W., Zhang, P., Sun, X., Wang, W., Guo, P., Zhu, Y., Xiao, M.*. (2025). Formation characteristics and influencing factors of grain pile angle during combine harvester unloading. Journal of Intelligent Agricultural Mechanization, 6(3), 67–75.
8. Hao, J.*,Wei, W., Huang, P., Qin, J., Zhao, J. (2021). Calibration and experimental verification of discrete element parameters for oil sunflower seeds. Transactions of the Chinese Society of Agricultural Engineering, 37(12), 36–44. (EI indexed; Highly Cited Paper)
9. Hao, J.*,Wei, W., Qin, J., Zhu, Z., Lü, X., Yang, S. (2022). Design and experiment of a tangential-flow oil sunflower threshing and separating machine. Transactions of the Chinese Society for Agricultural Machinery, 53(2), 139–148. (EI indexed)
10. Guo, P.,Wei, W., Xiao, M.*, et al. (2026). Research on grain distribution regulation and hopper loading optimization methods for cooperative grain unloading of combine harvesters. Computers and Electronics in Agriculture, 255, 112305. (JCR Q1; TOP journal; IF = 10.3)
11. Xie, C.,Wei, W., Zhu, Y., Xiao, M.*, Chen, T. (2025). Wear reduction damage mitigation and operational reliability analysis of rotary tiller knives based on the self-excited vibration theory. Computers and Electronics in Agriculture, 231, 109991. (JCR Q1; TOP journal; IF = 10.3)
12. Long, S.,Wei, W., Li, D., Kang, S., Wang, J.* (2024). Study on separation of the tuber-soil binary mixture based on vibration and airflow coupling. Biosystems Engineering, 239, 13–24. (JCR Q1; TOP journal; IF = 7.8)
13. Wang, J.,Wei, W., Wang, G., Gao, J., Xiao, M.*, Lu, Z., Wang, G. (2024). Design and experiment of an autonomous navigation system for a tracked electric mini-tiller. Transactions of the Chinese Society of Agricultural Engineering, 40(23), 63–72. (EI indexed)
14. Zhu, Y., Zhang, C.,Wei, W., Sun, Y., Xiao, M.*. (2025). Multi-machine cooperative operation strategy based on a Markov decision model with optimized dynamic grain-unloading thresholds. Transactions of the Chinese Society for Agricultural Machinery, 56(6), 187–195.(EI indexed; assisted in supervising a master's student)
15. Lv, P., Xue, J.,Wei, W., Liu, S., Gao, W., Sun, H., Miao, H., Wang, W. (2025). An advanced detector and dual-shortest distance intersection algorithm for navigation path extraction in complex orchards. Engineering Applications of Artificial Intelligence, 165, 113246. (JCR Q1; TOP journal; IF = 9.0)
