keypoint detection

This study investigates robust keypoint detection and geometric image matching in high-resolution UAV imagery of agricultural fields – an essential component for precision farming, crop monitoring, yield prediction, and automated field boundary mapping. While unmanned aerial vehicle (UAV) systems provide high spatial resolution and flexibility, aligning multiple images into coherent mosaics remains a technical challenge, particularly in agricultural settings where repetitive structures, low texture, and illumination variations are prevalent.