Forest resources are key natural resources, and forestry economy is also an important component of the national economy. However, natural disasters occur frequently in China's forests, and traditional post-disaster forest resource detection methods face challenges such as low efficiency and insufficient accuracy. This article designs and implements a post-disaster all-terrain forest plant resource detection and positioning system based on drone technology. The aim is to enhance detection efficiency and accuracy through artificial intelligence image recognition,Beidou positioning, and remote sensing technology. The system utilizes the DJI Phantom 4 Pro drone as its platform, equipped with high-resolution cameras, WIFI modules, and Beidou positioning modules, enabling rapid identification and precise positioning of post-disaster forest plant resources. Experimental results demonstrate that the system exhibits high reliability in flight performance, data transmission stability, image recognition accuracy, and positioning precision, achieving a recognition rate of nearly 90% and positioning accuracy down to the centimeter level. This system offers efficient and low-cost technical support for post-disaster forest resource management, highlighting significant application value.