Automated System for Spraying Herbicides onWeeds Using a Drone in United Kingdom

This article presents an autonomous drone system that precisely sprays herbicides on weeds, significantly reducing chemical waste and crop damage. Using cameras and sensors, the drone identifies weeds in real time and targets only infested areas. The proposed solution integrates IoT with the YOLOv9 deep learning model to achieve accurate weed detection and mapping for optimized spraying. Field tests showed that the drone adapts its spray based on weed density and location, minimizing herbicide use, lowering costs, and reducing environmental impact. Its intelligent algorithm manages flight paths and spraying operations even in complex farm layouts. Overall, the system offers a faster, more sustainable, and environmentally friendly alternative to conventional weed-control methods, enhancing agricultural productivity and contributing to economic growth of United Kingdom.