Canopy Parameter Estimation of Citrus grandis var. Longanyou Based on LiDAR 3D Point Clouds

The characteristic parameters of Citrus grandis var. Longanyou canopies are important when measuring yield and spraying pesticides. However, the feasibility canopy reconstruction method based on point clouds has not been confirmed with these canopies. Therefore, LiDAR cloud data for C. were obtained to facilitate management groves this species. Then, a cloth simulation filter European clustering algorithm used realize individual extraction. After calculating height width, volume calculation realized using six approaches: by manual five algorithms (convex hull, CH; convex hull slices; voxel-based, VB; alpha-shape, AS; alpha-shape slices, ASBS). ASBS is an innovative that combines AS slices optimization, can best approximate actual shape. Moreover, CH had shortest run time, R2 values VCH, VVB, VAS, VASBS above 0.87. highest accuracy was from algorithm, computation time. In addition, theoretical but preliminarily system suitable developed, which provides reference efficient accurate realization future functional modules such as plant protection, orchard obstacle avoidance, biomass estimation.