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Multi-scale 3D Data Acquisition of Maize

机译:玉米的多尺度3D数据采集

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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.
机译:近年来,植物的三维(3D)数据采集和模型重建已成为植物科学研究的热门话题。然而,植物的形态结构非常复杂,难以描述细节。对于工厂的不同部分,数据采集方法是多种多样的。本研究介绍了不同规模玉米的数据采集方法。谷物,叶和穗,植物和玉米的单个群体代表了不同规模的目标模型。 3D数据采集工具用于采集每个目标的形态。发现器官鳞屑是最容易获得和处理的。最小的谷物需要高分辨率的扫描仪来获取形态学细节,而植物冠层是用于点云过程和建模的最难的一种。数据和重建的模型面向数字植物,表型分析,FSPM研究和科普教育应用。

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