Gluaiseanna Focal FLEXIGROBOTS: Cuardach agus Sópáil Clústair Bánóg i Video Drone

I used an unmanned aerial vehicle (UAV) to analyse video footage of grapevines, enabling efficient monitoring of canopy structure, phenology, and leaf traits for assessing vine health. Traditional ground surveys are time-consuming, but UAVs equipped with multispectral sensors and computer vision techniques—such as object detection, tracking, and 3D reconstruction—offer scalable alternatives. Methods like YOLO, Mask R-CNN, and TrackR-CNN improve detection accuracy in woody crops, with recent studies achieving 91% precision using VGG19 on RGB-D data. Applications in grapevines and other fruit trees demonstrate the potential of deep learning for automated phenotyping.