Method for detecting plant stem in captured picture in greenhouse environment

The invention discloses a method for detecting a plant main stem in a captured picture in a greenhouse environment, plant main stem detection is realized by utilizing the characteristic that a detection line segment set to which a plant main stem belongs in an image has strong correlation in position and direction, and the method comprises the following steps: (1) detecting an observed plant target through a target detection method Yolo based on deep learning; (2) detecting line segments through an LSD method; (3) clustering the line segments according to the center point positions and direction information of the line segments; and (4) calculating the confusion degree in each line segment class and determining the line segment class to which the main stem of the target plant belongs according to the confusion degree. The method has the advantages of high accuracy, strong robustness, less constraint conditions and the like. And particularly, the method has good adaptability to a shooting angle, and a plant ma