Abstract: To address the increasing regulatory pressure on plant quarantine caused by the surge in seedling transportation during urban and rural greening, and to overcome the dual challenges of inefficient traditional supervision models and a shortage of professional personnel, this study leverages information technology to construct an intelligent regulatory system. By integrating the Internet of Things(IoT) perception, Geographic Information System(GIS) spatiotemporal analysis, and intelligent image recognition technology, a “One-Map” system for forestry plant quarantine was researched and designed. Based on the fusion of multi-source data, the system enables full life-cycle tracking of quarantine objects, strengthens epidemic early-warning capabilities through spatial visualization analysis, and enhances quarantine efficiency using AI algorithms. The research results offer a replicable technological paradigm for building an intelligent forestry plant quarantine system. The integration of advanced intelligent technologies such as drones, LiDAR, and the IoT has enabled the intelligentization of forestland monitoring, resource management, and pest control. This not only improves the efficiency of forestry management and resource utilization but also provides strong support for sustainable forestry development, holding significant reference value for advancing the digital transformation of forestry governance.