Development of A Deep Learning Based Machine Vision System for Occluded 2D Fruit Trees

Orchard automation, like automatic thinning and harvesting, requires robots understand the tree structure coherently. In this work, a vision system is developed for agricultural robot to detect tree branches under natural occlusions like leaves and fruits. Experiments illustrates the proposed vision system can detect complete branch with no noise.