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由高通量表型化平台捕获的宽叶豆类3D点云数据集

Alexander Galba1, Jan Masner2, Jana Kholová1,3

  • 1Department of Information Technologies, Faculty of Economics and Management, Czech University of Life Sciences, Kamýcká 129, Prague, 165 00, Czech Republic.

Scientific data
|November 10, 2025
PubMed
概括

本研究介绍了豆类的注释式3D植物扫描,这对于开发植物现象学AI至关重要. 该数据集有助于为作物研究开发3D计算机视觉模型.

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In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
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