Yang Hongyun, Professor, Master's Supervisor. He is currently working in the School of Software of Jiangxi Agricultural University/Key Laboratory of Agricultural Information of Jiangxi Universities, a member of the Intelligent Agriculture Special Committee of the Chinese Association of Artificial Intelligence, a member of the Chinese Society of Automation, a member of the Chinese Computer Society, a specially invited reviewer of the Southern Agricultural Journal, a degree thesis reviewer of the Degree Center of the Ministry of Education, and a KNOW academic reviewer. He is mainly engaged in the teaching of software engineering and scientific research in the cross field of agricultural information technology. His research interests include: virtual agriculture, machine vision, deep learning and other fields. I have led 2 projects funded by the National Natural Science Foundation of China and 3 projects at the provincial and ministerial level; Participated as a key member in 1 national key research and development program, 3 national natural science foundation projects, and over 10 provincial science and technology projects; In the past five years, I have published over 40 research papers as the first or corresponding author in core or higher academic journals; Published 1 monograph, edited 1 textbook, and co edited 2 textbooks; Actively participate in academic exchange activities both domestically and internationally. I teach undergraduate courses such as "C Language Programming", "Data Structures", "Algorithm Design and Analysis", and graduate courses such as "Mathematical Foundations of Machine Learning". The guiding teacher of the College Innovation Studio CV Studio is mainly responsible for academic guidance on innovation and entrepreneurship for undergraduate students in computer vision, artificial intelligence, big data and other professional fields. Currently, they have obtained 3 national, provincial and university level innovation projects, and have won more than 40 awards in various fields such as the design track of college students' computer works based on these projects.