3D reconstruction of trees is of great significance in the fields of plant phenotyping， digital orchards， and forestry resource planning. Kinect and lidar， a depth color camera based on infrared active structured light， are commonly used 3D reconstruction devices. In order to better establish a 3D color model of a single tree of cherry trees and obtain accurate phenotypic parameters， a detection method based on Kinect camera and lidar point cloud information fusion of single tree is proposed in this paper. Firstly， the complete environmental point cloud of the area where the single cherry tree is located is collected by the lidar to generate a point cloud map. Secondly， the multi-view point cloud of the single cherry tree is collected by the Kinect camera to obtain a complete 3D color point cloud. Based on the lidar point cloud position， the two point clouds were initially registered by selecting corresponding points with the same name， so that there was a good initial position relationship between the point clouds. Then， the point clouds were accurately registered by using the iterative closest point （ICP） algorithm. Finally， the color point cloud is used to perform point cloud coloring and fusion processing on the radar point cloud to realize the 3D reconstruction of the single-tree cherry tree. Compared with the single-tree phenotype parameters of cherry trees generated only by the Kinect v2 camera， the average relative errors of plant height， crown width and diameter at breast height of the integrated cherry trees were reduced by 1.52， 6.46 and 18.17 percentage points， respectively. The experimental results show that the Kinect v2 depth color camera and lidar can achieve complementary advantages in the 3D reconstruction of a single tree， improve the registration accuracy of the point cloud， and at the same time， it can not only reduce the influence of light and climatic conditions， but also increase the measurement distance， and the phenotype of a single tree can be improved. parameters are more accurate. The single-tree 3D reconstruction method of this complementary fusion technology has a good application prospect， and can be applied to the occasions such as fruit tree phenotype and growth monitoring， etc.， to provide technical support for the development of digital orchards.