Illegal opium poppy cultivation poses a serious threat to social security and is explicitly prohibited by law in China. Current poppy patrols primarily rely on drone imagery combined with manual identification, which suffers from low efficiency, susceptibility to fatigue, and high professional requirements. To address these issues, this paper designs an intelligent patrol and detection system based on a multi-rotor drone and the Jetson Orin NX edge computing platform. This system integrates high-definition image acquisition, edge AI real-time inference, a 5G communication module, and web visualization into a cohesive unit. The system utilizes an object detection model on the onboard edge computing platform to analyze images in real-time. The results are then uploaded via the 5G communication module to a Web interface for review and processing by ground personnel. Practical application demonstrates that this system significantly enhances the automation level, response speed, and detection accuracy of poppy patrols, providing efficient and reliable technical support for narcotics control efforts.