A Study on the Identification of Shear Branches Based on the TBM Model

Abstract

Automated shearing is one of the main means of improving fruit production in fruit trees. However, current shearing methods are still dominated by manual shearing, resulting in low shearing efficiency and high shearing costs. To address this problem, this paper takes peach trees as an example and conducts a study on the nutrient distribution of fruit tree organs such as branches, trunks, leaves and fruits, and proposes a Trunk-branch Mathematical model (TBM) based on the structural relationship between branches and trunks of fruit trees. Based on the TBM model, we propose a shear branch identification method. Experiments show that the average relative error between the data calculated using the TBM model and the actual data is only 1.96%, and the average correctness and accuracy of the identified shear branches are 92% and 91% respectively. Therefore, the shear branch identification method and model described in this paper have certain feasibility and practical value, and they can be used as the theoretical basis for automated shearing.