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Plant Tissues

Plant Tissues

Plants are multicellular eukaryotes with tissue systems made of various cell types that carry out specific functions. Different tissues work together to perform a unique function and form an organ. Organs working together form organ systems. Vascular plants have two distinct organ systems: a shoot system and a root system. The shoot system consists of two portions: the vegetative (non-reproductive) parts of the plant, such as the leaves and the stems, and the reproductive parts of the plant,...

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Updated: Apr 13, 2026

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Published on: April 5, 2013

一个使用OB-NeRF复杂工厂的3D重建平台.

Sixiao Wu¹, Changhao Hu¹, Boyuan Tian¹

¹China College of Engineering/Key Laboratory of Agricultural Equipment for the Middle and Lower Reaches of the Yangtze River, Ministry of Agriculture, Huazhong Agricultural University, Wuhan, China.

Frontiers in plant science

|March 25, 2025

概括

此摘要是机器生成的。

本研究介绍了使用基于对象的NeRF (OB-NeRF) 快速准确的3D植物重建平台. 该系统显著减少了重建时间,并提高了农业数字双胞胎和高通量表型的精度.

关键词:

3D重建的重建是3D重建.数字双胞胎是一个数字双胞胎.网格网格网格网格网格网格神经辐射场是一个神经辐射场.植物表型化植物表型化

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相关实验视频

Last Updated: Apr 13, 2026

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

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Neutron Radiography and Computed Tomography of Biological Systems at the Oak Ridge National Laboratory's High Flux Isotope Reactor

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Published on: May 7, 2021

科学领域:

农业科学农业科学
计算机视觉计算机视觉
3D重建的3D重建

背景情况:

3D重建增强了农业中的高通量表型和数字双胞胎开发.
现有的3D重建平台面临着成本,速度,工作流程复杂性和自动化方面的挑战.

研究的目的:

为复杂的工厂开发一个高效和自动化的3D重建平台.
在速度,成本和自动化方面克服现有的3D重建方法的局限性.

主要方法:

实施了视频采集系统和关键提取.
张宇的校准和运动结构 (SfM) 用于摄像头姿势的估计.
基于对象的NeRF (OB-NeRF) 采用了一种新的射线采样策略,用于精细规模的工厂重建.

主要成果:

在250秒内,OB-NeRF平台实现了高质量的3D工厂重建.
与NeRF和其他方法相比,OB-NeRF在PSNR评估方面表现优越,并减少了重建时间.
重建的3D模型显示了高保真度,R2值分别为0.9933,0.9881和0.9883的植物高度,叶子长度和叶子宽度.

结论:

开发的3D重建平台为农业数字双胞胎和高通量表型设计提供了强大的解决方案.
在没有背景细分的情况下,OB-NeRF算法显著提高了重建效率和质量.
优化的摄像头姿势和自动定位提高了3D模型的精度和适用性.