Abstract
This project develops smart forestry, establishes growth and management strategy simulation system in artificial forests from a digital service aspect, including tree growth simulation and prediction and program development, and the establishment of private forest management decision support systems. The research focuses on the establishment of tree growth model estimation and prediction models for major tree species, and the development of tree growth simulation and prediction programs to provide relevant personnel with immediate and effective access to stock volume information to improve the efficiency of forestry management. In addition, in response to the needs of private forest households, an immediate, efficient, and accurate decision support system is developed to assist users in obtaining decision information more quickly and effectively, thereby increasing private forest farmers' operating willingness and promoting private forest development.