关键词: 3D, 体素重建, 株型, GPU, 高通量

Abstract: The automatic detection technology for plant phenotype plays an important role in agricultural reaserch and crop breeding. However, many 3D features cannot be extracted by 2D technology. Plant architecture (PA), including number of tillers, tiller angle and stem diameter, significantly affects the crop yield for many tillering crops. To acquire these characteristics parameters, traditional method needs huge manual labors, time-consuming, subjective and inaccurate. Therefore, it is impractical to perform manual phenotypic analysis. In order to automate PA parameters collection in crop breeding, a fast 3D reconstruction method was proposed to acquire high throughput PA characteristics parameters. To improve the reconstruction efficiency, parallel computing technique was used on a graphics processing unit (GPU). The processing time was approxemately 10 s of per plant on the Compute Unified Device Architecture (CUDA). This methodology was suitable for a high-throughput phenotyp testing platform.

Key words: 3D, volumetric reconstruction, plant architecture, GPU, high throughput