Chao Zhu | Agricultural informatization | Best Researcher Award

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: Scopus

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.

Soresa Shuma | Agriculture | Best Researcher Award

Assist. Prof. Dr. Soresa Shuma | Agriculture | Best Researcher Award

Dambidollo University | Ethiopia

Prof. Dr. Soresa Shuma Abdisa is a lecturer at Dambidollo University whose academic journey and professional contributions are deeply rooted in advancing sustainable agriculture and animal science. With a strong foundation in agricultural sciences, his research integrates precision agriculture technologies such as sensor-based monitoring and data-driven analysis to maximize resource efficiency and promote sustainable farming. His professional experience spans teaching, research, and consultancy, with a focus on bridging the gap between scientific innovation and practical farming practices. His research interests lie in animal health, welfare, and genomic selection for resilience against stress and diseases, reducing dependence on antibiotics while enhancing productivity. He is also actively exploring alternative feed sources to minimize the ecological impact of livestock farming. His skills encompass advanced genomic analysis, data-driven agricultural systems, and sustainable livestock management, supported by numerous publications in reputable journals and impactful research projects. Recognized with citations and academic achievements, he continues to contribute significantly to food security and climate-resilient farming systems. His dedication to innovation, animal welfare, and agricultural sustainability has earned him professional recognition and collaborations, making him a strong candidate for awards that honor excellence in research and applied agricultural sciences, with a vision to create lasting global impact.

Profile: Google scholar

Featured Publications