Dr. Chao Zhu | Agricultural informatization | Best Researcher Award
Zhejiang Agriculture and Forestry University |China
Dr. Chao Zhu is a lecturer at the School of Mathematics and Computer Science of Zhejiang A&F University, specializing in agricultural information technology with a focus on advanced computational methods for plant phenotyping and environmental data analysis. He earned his doctoral degree from Shenyang Agricultural University, where he developed expertise in deep learning, point cloud processing, and agricultural intelligent information systems. His professional experience includes research and teaching in digital agriculture, computational modeling, and high-throughput measurement technologies, contributing to national research in soil respiration measurement and phenotypic data analysis. His research interests cover 3D point cloud processing, deep learning for agricultural applications, multiscale phenotyping, soil gas transport mechanisms, environmental monitoring, and heterogeneous agricultural data modeling. He has strong technical skills in computer vision, point cloud algorithms, skeleton-based segmentation, deep neural networks, and intelligent sensing systems, demonstrated through publications on maize phenotyping, 3D population reconstruction, and high-throughput measurement technologies. His work has appeared in respected journals such as Journal of Agricultural Engineering, Computers and Electronics in Agriculture, GigaScience, and ISPRS Journal of Photogrammetry and Remote Sensing, reflecting his role as first author and key collaborator in multiple scientific studies. His participation in innovative national and provincial research projects highlights his growing contribution to smart agriculture and digital crop monitoring. Through multidisciplinary research integrating computer science and agronomy, he continues to promote intelligent agricultural development with impactful scientific innovation and technological advancement.
Profile: Googlescholar
Featured Publications
Zhu, C., Miao, T., Xu, T., Li, N., Deng, H., & Zhou, Y. (2021). Skeleton-based 3D point cloud segmentation of corn tassels and extraction of phenotypic parameters. Journal of Agricultural Engineering, 37(6), 295–301.
Zhu, C., Miao, T., Xu, T., Li, N., Deng, H., & Zhou, Y. (2021). Segmentation and phenotypic trait extraction of maize point-cloud stem-leaf based on skeleton and optimal transportation distances. Transactions of the Chinese Society of Agricultural Engineering, 37(4), 188–198.
Miao, T., Zhu, C., Xu, T., Yang, T., Li, N., Zhou, Y., & Deng, H. (2021). Automatic stem-leaf segmentation of maize shoots using three-dimensional point cloud. Computers and Electronics in Agriculture, 187, 106310.