Three-Dimensional Wheat Modelling Based on Leaf Morphological Features and Mesh Deformation

The three-dimensional (3D) morphological structure of wheat directly reflects the interrelationship among genetics, environments, and cropping systems. However, complexity limits its rapid accurate 3D modelling. We have developed a modelling method that is based on progression from skeletons to mesh models. Firstly, we identified five parameters describe leaf features amounts digitizing data at grain filling stage. template samples were selected similarity between input skeleton templates in constructed database. was then performed using as-rigid-as-possible (ARAP) deformation method. found individual level, group, plant scales can be achieved. Compared with acquiring for modelling, it saves 79.9% time. minimum correlation R2 extracted measured model by this 0.91 maximum RMSE 0.03, implying preserves features. proposed provides strong foundation further phenotype extraction, functional–structural analysis, virtual reality applications plants. Overall, provide new complex