This invention relates to the field of soybean
plant information analysis technology, and particularly to a method for analyzing the traits of the whole soybean
plant based on three-dimensional point clouds. The method includes: employing a joint
annotation method for soybean pod states based on three-dimensional point clouds to collect, annotate, and standardize the three-dimensional point clouds; constructing an improved SoftGroup multi-
task learning model, where each module works collaboratively according to a preset logic, taking the three-dimensional
point cloud of a single soybean
plant as input, and outputting the target task results through
point cloud feature extraction and instance clustering; performing multi-task joint training on the improved SoftGroup multi-
task learning model, inputting the preprocessed three-dimensional
point cloud of the soybean plant to be tested into the trained model, performing multi-task
inference, refining geometric parameters through PCA, and counting the number of pods; removing the pod point cloud from the three-dimensional point cloud of a single soybean plant to obtain the main point cloud of the plant; extracting the plant skeleton from the main point cloud of the plant and obtaining the trait data of the plant skeleton.