Basic Information

• Name: Weixin Zhai
• Email: zhaiweixin@cau.edu.cn
• Office Address: Room 717, College of Information and Electrical Engineering, China Agricultural University
• Mailing Address: College of Information and Electrical Engineering, China Agricultural University, Haidian District, Beijing, China
• Postal Code: 100083

Education Background

• 2009-2013, Peking University, Bachelor of Science
• 2013-2018, Peking University, Doctor of Science
• 2018-2020, Peking University, Postdoc (Mathematics)
• 2016-2017, University of North Carolina at Charlotte, Visiting Scholar
• 2020-Present，China Agricultural University, Associate Professor

Research Overview

• I have published over 40 scholarly articles across the disciplines of spatio-temporal big data and geographic information systems, including more than 10 SCI papers as the first author or corresponding author. I have actively participated in the formulation of 2 national standards and 3 IEEE international standards. Additionally, I have hosted two national-level scientific research projects, including one funded by the National Natural Science Foundation of China, alongside numerous horizontal projects. Furthermore, I have organized and chaired multiple sessions, as well as delivered oral reports, at international conferences such as the International Conference on Smart Agriculture Innovative Development, ACM Sigspatial, IEEE International Geoscience and Remote Sensing Symposium, and the International Geographical Congress.

• As a member of the Key Laboratory of Agricultural Big Data, I concentrate on resolving fundamental, cutting-edge, comprehensive, and key scientific and technological challenges in the field of agricultural machinery operation monitoring and big data applications in China. My primary goal is to establish a national ecosystem for intelligent sensing, dynamic monitoring, and data application services in agricultural machinery operations, thereby providing technical support for agricultural machinery production management and agricultural policy formulation.Significant endeavors like the Wheat Harvest News of our laboratory have garnered widespread attention within the industry and received encouraging directives from the Minister of Agriculture and Rural Affairs. During the Three Summers initiative (The Three Summer refer to the critical agricultural period in China, encompassing summer harvest, planting, and crop management, ensuring a smooth transition between crop cycles and maintaining agricultural productivity), our relevant findings were daily updated in the Three Summers in Progress section on the official website of the Ministry of Agriculture and Rural Affairs. Furthermore, these achievements have been featured in various official media outlets, including CCTV’s Nightly News，Xinhua News Agency, Science and Technology Daily, Farmers’ Daily, and others.

Scientific Project

Vertical Project

1. 2024-2026, National Natural Science Foundation of China, Research on Data Mining Method of Spatiotemporal Characteristics of Agricultural Machinery Trajectories for Agricultural Machinery Subsidies, Ongoing, Principal Investigator
2. 2021-2025, National Key Research and Development Project of China, BeiDou Precise Navigation and High-Resolution Remote Sensing Integration Technology and Regional Comprehensive Application Demonstration, Subproject Principal Investigator
3. 2022-2022, 2022 Youth Talent Plan for Science and Technology Think Tanks, Department of Strategic Development, China Association for Science and Technology， Agricultural Machinery Subsidy and Optimal Machine Evaluation Decision-making Consultation Based on Big Data of Agricultural Machinery Trajectories, Completed, Principal Investigator
4. 2020-2022, Beijing Municipal Science and Technology Project, Research and Integrated Demonstration of Unmanned Agricultural Machinery Autonomous Operation Technology, Ongoing, Participant
5. 2019-2020, China Postdoctoral Science Foundation, General Program, Research on Multi-dimensional Evaluation Methods of Urban Expansion Based on Physical Cities, Completed, Principal Investigator
6. 2018-2018, Ministry of Environmental Protection Project, 2018 Decision-making Technical Support for Urban Environmental Management Information, Completed, Participant
7. 2017-2021, National Key Research and Development Project of China, Global Positioning Framework and Coding System, Completed, Participant
8. 2012-2013, National Basic Research Program of China (973 Program), Research on the Organization Mechanism and Application Methods of Global Aerospace Information Segmentation, Completed, Participant

Horizontal Project

1. 2021.06.02-Present, Professor Workstation of China Agricultural University - Beijing Bo Chuang Liandong Technology Co.,Ltd.
2. 2021.01.17-Present, Development of Agricultural Machinery Dispersion Evaluation System, Principal Investigator
3. 2020-2021, “Tsinghua-Tencent” Emerging Technology × Future Urban Space Project “WeSpace Academic Support Program”, Data Organization Method in Future Urban Space Based on Segmentation Theory, Completed, Principal Investigator

Main research areas

1.Analysis and mining of big data on agricultural machinery trajectories

  Through the analysis and mining of big data on agricultural machinery trajectories, we can intuitively grasp the spatial distribution and movement speed of wheat harvesters across the country, enabling a complete, objective, and precise understanding of the overall process of wheat and rice harvesting operations. This can provide timely and effective traffic dispersion and emergency support services. After in-depth mining, it can also quantitatively evaluate the balance of agricultural machinery distribution, utilization rates, and operational benefits in China, revealing the status, characteristics, and issues of China’s agricultural machinery socialized services. From a government perspective, this can facilitate macroeconomic regulation, integrate industry resources, and reasonably dispatch agricultural machinery, providing decision-making references for optimizing policies such as agricultural machinery purchase subsidies and operational subsidies

China's spring wheat harvest hotspot map in 2023	Dynamic display of agricultural machinery trajectory inside farmland

2.Unmanned Agricultural Machinery

  To achieve the full automation of operations across all scenarios and processes in unmanned farms, we are focusing on overcoming the challenges posed by the diversity of unmanned agricultural machinery models, complex tasks, difficulties in adaptation, low operation precision, and lack of intelligent decision-making. We aim to make breakthroughs in key technologies for agricultural machinery operations across the entire machinery shed - machine farming roads - farmland scenario. By developing intelligent and reliable navigation control equipment for unmanned agricultural machinery in all scenarios, we will enable unmanned agricultural machinery to operate and work precisely from the machinery shed to the machine farming roads and then to the farmland, covering tillage, planting, and harvesting. Meanwhile, 3D path planning technology for farms will ensure the efficient and safe movement of agricultural machinery in complex farmland environments. Additionally, precision control technology for agricultural implements will help ensure that agricultural machinery accurately executes instructions during operations, improving the precision and efficiency of work. Finally, the application of intelligent decision-making technology throughout the entire process will enable unmanned agricultural machinery to make intelligent decisions, further enhancing operational effectiveness.

Publications

Please refer to https://zhaiweixin.github.io/publications/