Professor, Zhejiang University
Lab Name：
AgroOptics and Imaging Lab
Homepage
https://person.zju.edu.cn/en/chy
hycen@zju.edu.cn
Research
We focus on developing advanced sensing and automation technologies for plant breeding and precision agriculture, contributing to making the food and agricultural system more efficient and sustainable. Specific research areas include:
Investigation of complex light interaction with plant materials;
Development of high-throughput robot- and drone-based plant phenotyping systems from greenhouse to open-field;
Development of machine learning and mechanistic methods for improving big phenotypic data processes
Number of Participants
1-3 students
Biography
Dr. Haiyan Cen is currently a Professor and Vice Dean of College of Biosystems Engineering and Food Science at Zhejiang University (ZJU). She was selected as Chang-Jiang Scholar Distinguished Professor in 2021 and China’s 1000 Young Talent in 2015, and is listed among the Top 2% Scientists worldwide 2024 by Stanford University. Her research focuses on Intelligent sensing and optical imaging for plants to develop high-throughput plant phenotyping technologies and systems towards crop design breeding and precision farming. Dr. Cen has published more than 100 scientific papers in peer-reviewed top journals. She holds 18 Chinese invention patents, one US patent, and one Japanese patent. Dr. Cen has received awards and recognitions for her research work, including First Prize of Science and Technology of MOE, DA-BEI-NONG Agricultural Science and Technology Award, and American Society of Agricultural and Engineers (ASABE) Annual Meeting Paper Awards. She serves as the Chair of ASABE-ITSC Forward Planning & Structure, ZJU Representative of International Plant Phenotyping Network (IPPN), and Associate Editor of Computers and Electronics in Agriculture.
What You Can Expect in the Project
Development of AI-based models for high-throughput plant phenotyping with drone imagery;
Development of tomato growth monitoring platform with plant phenotyping robot.