Central South University of Forestry and Technology | China
Hu Yang is a researcher specializing in artificial intelligence applications in agriculture and forestry, currently with the Artificial Intelligence Application Research Institute at Central South University of Forestry and Technology. With a focus on multi-modal data fusion, computer vision, and deep learning, Hu has contributed to over 10 peer-reviewed publications in high-impact journals, including Computers and Electronics in Agriculture, The Plant Journal, Information Fusion, and European Journal of Agronomy, with several manuscripts under revision or review. His work has achieved a total of 5documents, over 13 citations, and an h-index of 2, reflecting a strong influence in AI-driven plant disease recognition, image segmentation, and data augmentation techniques. Hu has led multiple projects funded by the National Natural Science Foundation and university-level innovation programs, including multimodal agricultural and forestry disease assessment systems and forest area road crack detection using reinforcement learning. His research interests include multi-modal machine learning, image-based disease detection, precision agriculture, and smart forestry monitoring. Recognized with numerous awards such as the National Scholarship (2025) and Outstanding Graduate (2024), Hu continues to advance AI frameworks that bridge cutting-edge computational methods with practical applications, aiming to improve crop health, sustainable forestry, and environmental protection through intelligent, data-driven solutions.
Featured Publication
Mendes, L. de C., et al. (2025). AMF: A multi-modal framework for crop leaf diseases segmentation. Computers and Electronics in Agriculture.