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Multi-scale 3D Data Acquisition of Maize

文献类型： 外文期刊

作者： Wen, Weiliang 1 ; Guo, Xinyu 1 ; Lu, Xianju 1 ; Wang, Yongjian 1 ; Yu, Zetao 1 ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China

2.Beijing Key Lab Digital Plant, Beijing, Peoples R China

关键词： Maize; Three-dimensional scanning; Three-dimensional point cloud; Phenotypic

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, PT I

ISSN： 1868-4238

年卷期： 2019 年 545 卷

页码：

收录情况： SCI

摘要： In recent years, three-dimensional (3D) data acquisition and model reconstruction of plants have been developed as a hot topic of plant scientific researches. However, the morphological structure of plants is very complex and it is hard to describe the details. The data acquisition approaches are diverse for different parts of plants. This study introduces the data acquisition methods of different scales of maize. The grain, leaf and ear, individual plant and maize colony represents the target models for different scales. 3D data acquisition instruments are used to acquire the morphometric of each target. It is found that the organ scale is the simplest to obtain and process. The smallest grain needs high-resolution scanner to acquire the morphological details, while the plant canopy is the hardest one for point cloud process and modeling. The data and reconstructed models are oriented to digital plant, phenotyping analysis, FSPMs research, and popular science education application.

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