3D point cloud data to quantitatively characterize size and shape of shrub crops.

ABSTRACT: Size and shape are important properties of shrub crops such as blueberries, and they can be particularly useful for evaluating bush architecture suited to mechanical harvesting. The overall goal of this study was to develop a 3D imaging approach to measure size-related traits and bush shape that are relevant to mechanical harvesting. 3D point clouds were acquired for 367 bushes from five genotype groups. Point cloud data were preprocessed to obtain clean bush points for characterizing bush architecture, including bush morphology (height, width, and volume), crown size, and shape descriptors (path curve λ and five shape indices). One-dimensional traits (height, width, and crown size) had high correlations (R ² = 0.88-0.95) between proposed method and manual measurem

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC6441659 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature