Prof. Yubin Lan

South China Agricultural University, China

Academician Lan Yubin is a Member of the European Academy of Sciences, Arts and Humanities and Foreign Member of the Russian Academy of Natural Sciences. He serves as Dean of the College of Electronic Engineering (College of Artificial Intelligence), Director and Chief Scientist of the National International Joint Research Center for Precision Agricultural Aviation Pesticide Application Technology at South China Agricultural University, and Chair of the International Commission on Precision Agricultural Aviation. As the founding pioneer of the international discipline of precision agricultural aviation, he first put forward the theoretical framework of precision agricultural aviation, with his research focusing on aerial precision pesticide application, low-altitude agricultural remote sensing, intelligent agricultural sensors and unmanned farm systems. After returning to China in 2014 and joining South China Agricultural University, he has vigorously promoted UAV plant protection technologies to address the prominent problem of excessive pesticide application in domestic agriculture, and led the construction of China’s first ecological unmanned farm. He has published more than 200 SCI/EI papers, obtained nearly 70 authorized invention patents, and authored authoritative monographs including Precision Agricultural Aviation Technology and Applications. He has long presided over major agricultural aviation research projects at home and abroad, built a global platform for exchange and cooperation in agricultural aviation, and significantly advanced the innovative development and large-scale application of China’s plant protection UAV industry and low-altitude technology system for smart agriculture. He has received numerous prestigious awards, among which the 9th Overseas Chinese Contribution Award stands out.

Prof. Weidong Zhang 

Shanghai Jiao Tong University, China

Prof. Weidong Zhang, PhD supervisor at Shanghai Jiao Tong University, specializes in agricultural robots, field machine vision perception, autonomous navigation of intelligent agricultural machinery and non-destructive crop detection systems. He has presided over a series of national and provincial research projects such as National Key R&D Program projects, National Natural Science Foundation projects and Shanghai Key Special Agricultural Science and Technology Programs. Targeting intelligent operation demands of field and protected agriculture, he has achieved breakthroughs in key technologies including field target recognition, autonomous obstacle avoidance for farm machinery and online crop quality detection. He has published numerous high-level SCI/EI papers and obtained dozens of authorized invention patents, with many technologies successfully industrialized. Beyond teaching and research, he takes the lead in building university-enterprise collaborative innovation platforms to deeply integrate artificial intelligence and robotics with modern agriculture, providing solid support for the R&D of intelligent agricultural machinery and digital agricultural equipment as well as the training of interdisciplinary talents in China.

Prof. Man Zhang 

China Agricultural University, China

Prof. Zhang Man, Level-II Professor and PhD Supervisor at China Agricultural University, serves as Dean of the College of Information and Electrical Engineering in charge of discipline development, talent training and scientific research, and also holds posts as Director of the Chinese Society of Agricultural Engineering and Vice Chair of the Smart Agriculture Branch of the Chinese Society of Crop Sciences. Her research focuses on precision agricultural system integration, intelligent agricultural machinery navigation, multi-sensor high-throughput crop phenotyping and agricultural IoT environmental regulation. She has presided over many national research projects including the National Key R&D Program and NSFC projects. Her team has broken through core technologies such as farmland obstacle perception, agricultural machinery autonomous navigation and intelligent greenhouse management platforms, with relevant achievements published in top journals including Engineering and numerous authorized invention patents widely applied in unmanned farms and intelligent plant protection equipment. Honored as Excellent Teacher of Beijing, she devotes herself to training interdisciplinary smart agriculture talents and building exchange platforms for universities and industries worldwide, whose information technology research provides vital technical and talent support for stable grain production and the innovative development of China’s digital agriculture and intelligent agricultural machinery industry.

Res. Xiang Li 

Institute of Semiconductors, Chinese Academy of Sciences, China

Res. Li Xiang works at the Institute of Semiconductors, Chinese Academy of Sciences, where his research mainly covers semiconductor optoelectronic materials, high-speed photodetectors, intelligent vision sensing chips and micro-nano optoelectronic integrated systems. As the principal investigator, he has undertaken many national and provincial research tasks including sub-projects of the National Key R&D Program, National Natural Science Foundation projects and key deployment projects of the Chinese Academy of Sciences. He has conducted technical research on high-sensitivity photoelectric imaging and wide-band sensing chips and made breakthroughs in multiple core processes for chip design and fabrication, with his research findings published in top international journals in this field and a number of independent core invention patents granted. Committed to interdisciplinary innovation, he has continuously promoted the application of semiconductor optoelectronic sensing technologies in agricultural intelligent detection, low-altitude remote sensing and other scenarios, and participated in numerous academic exchanges at home and abroad concerning optoelectronics and smart agriculture, offering crucial technical support for the industrialization of optoelectronic chips and the development of intelligent equipment for multiple sectors.

Prof. Xiaolin Huang

Shanghai Jiao Tong University, China

Xiaolin Huang is a Professor with the School of Automation and Intelligent Sensing at Shanghai Jiao Tong University. He received his B.S. and Ph.D. degrees from Xi’an Jiaotong University and Tsinghua University, respectively, and previously worked at KU Leuven and Friedrich-Alexander University Erlangen-Nürnberg.

His research focuses on the foundations of artificial intelligence. He has published nearly 100 papers, including nearly 20 in IEEE TPAMI and JMLR, as well as a review article in Nature Reviews. He serves as an Editor of Machine Learning and an Area Chair for ICLR, ICML, NeurIPS, and CVPR. He has led major national research projects and maintained long-term collaborations with Huawei and Medtronic. He has been awarded as SJTU’s Top Ten Teachers and received Jiahe Award for Excellence Teaching. In 2025, he won the National Second Prize and Shanghai Special Prize in the Higher Education Teaching Innovation Competition.

Assoc Prof. Yao Zhang

China Agricultural University, China

Yao Zhang，Female, PhD, Doctoral Supervisor, Associate Professor at the College of Information and Electrical Engineering, China Agricultural University. She completed her postdoctoral training at Peking University and is a Distinguished Young Recruited Scholar of China Agricultural University. She serves as Secretary-General of the Agricultural Information and Electrical Engineering Branch, Chinese Society of Agricultural Engineering; Guest Editor for Computers and Electronics in Agriculture, the top international journal in agricultural engineering; Youth Editorial Board Member of Chinese Journal of Agricultural Information; and Committee Member of the Smart Agriculture Branch, Chinese Society of Crop Sciences. Her core research focuses on quantitative remote sensing monitoring of critical farmland parameters, as well as the development of sensors and equipment for soil nutrient detection. To date, she has presided over 2 National Natural Science Foundation projects and participated in more than 20 national and provincial research programs, overseeing total research funding exceeding 5 million RMB. She has received one provincial and ministerial-level science and technology award. Dr. Zhang has published over 50 papers in high-impact remote sensing journals including Remote Sensing of Environment and Computers and Electronics in Agriculture, obtained 8 authorized national invention patents, and co-authored 3 monographs. One of her developed technologies was listed among the Major New Agricultural Science and Technology Achievements of China (2022). Several of her patents have been licensed and transferred, generating remarkable economic and social benefits.