Ordinary Tea Shoot Detection under Different Lighting Conditions

Tea shoot detection is a crucial step in the automating tea plucking. Tea shoot detection needs to take into account changing light conditions due to unstable outdoor environments. To this end, an ordinary tea shoot detection algorithm under different lighting conditions based on super-green features and threshold segmentation is proposed in this paper. Firstly, the color features of tea shoots were analyzed, and the tea shoot regions was highlighted by the super-green feature index. Next, the tea canopy images were divided into low-light and highlight images based on the average grayscale, and the detection algorithm was performed separately. Finally, experimental results demonstrate the effectiveness of this method in detecting tea shoots under different lighting conditions.