Robotic Pruning

Robotic pruning aims to automate the labor-intensive task of removing unproductive branches from fruit trees and vines, addressing labor shortages and improving efficiency. Current research focuses on developing robust perception systems using computer vision techniques, including stereo vision, deep learning models like YOLO and Mask R-CNN, and point cloud processing for accurate branch detection and 3D reconstruction. These advancements leverage both RGB and depth data to inform pruning decisions, ultimately improving yield and quality while reducing the need for manual labor in agriculture.