APPLICATION OF ARTIFICIAL INTELLIGENCE IN GRADUATE EDUCATION FOR TROPICAL FOREST TREE GENETIC BREEDING
Jian Wang·Yougen Wu·Z. Y. Zhang·Zhiqiang Xia·Zhihui Xia·Shouchuang Wang·Jie Liu·HongMei Yuan·Yan Jing·Minjie Qian·Yonggang Zhou·Yan Liu
Tropical forest tree genetic breeding is a fundamental course within forestry disciplines, crucial to sustainable forestry development and the promotion of ecological civilization. However, graduate education in this field faces persistent challenges, including prolonged breeding cycles, the complexity of multi-omics data analysis, and the necessity for deep interdisciplinary theoretical understanding. The integration of artificial intelligence (AI) in higher education offers promising solutions