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Construction of Root Locus

Construction of Root Locus

The construction of a root locus involves several key steps to analyze and visualize the behavior of a system's poles with varying gain. The number of branches in the root locus equals the number of closed-loop poles and is symmetrical about the real axis.
For positive gain values, the root locus exists on the real axis to the left of an odd number of finite open-loop poles or zeros. The root locus starts at the open-loop poles and traces the paths of the closed-loop poles as the gain...

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相关实验视频

Updated: Jan 8, 2026

A Simple Protocol for Mapping the Plant Root System Architecture Traits

A Simple Protocol for Mapping the Plant Root System Architecture Traits

Published on: February 10, 2023

VRoot:一种基于VR的应用程序,用于手动的根系统架构重建.

Dirk N Baker^1,2, Tobias Selzner³, Jens Henrik Göbbert¹

¹Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Jülich, Germany.

Plant phenomics (Washington, D.C.)

|December 19, 2025

概括

此摘要是机器生成的。

本研究介绍了用于根系分析的虚拟现实工具,提高了从土壤扫描中提取根的准确性. 沉浸式方法提高了可用性,并优于植物根系架构的传统注释技术.

关键词:

3D图像分析分析 3D图像分析沉浸式的分析分析.根系的表型化根系的表型化根系统架构根系统架构虚拟现实虚拟现实就是虚拟现实.

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Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

Published on: April 26, 2016

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

相关实验视频

Last Updated: Jan 8, 2026

A Simple Protocol for Mapping the Plant Root System Architecture Traits

A Simple Protocol for Mapping the Plant Root System Architecture Traits

Published on: February 10, 2023

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

Published on: April 26, 2016

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

RGB and Spectral Root Imaging for Plant Phenotyping and Physiological Research: Experimental Setup and Imaging Protocols

Published on: August 8, 2017

科学领域:

农业科学农业科学
计算机科学计算机科学
生物信息学是一种生物信息学.

背景情况:

自动根系分析工具往往缺乏专家注释的精度.
精确的根系架构 (RSA) 对植物科学研究至关重要.
现有的3D扫描和注释方法可能是劳动密集型和易出错的.

研究的目的:

开发和评估一个沉浸式虚拟现实 (VR) 工具,用于从3D土壤扫描中重建根系架构.
将VR工具的准确性和可用性与经典注释方法进行比较.
评估数据清晰度 (噪音与清晰) 对根取性能的影响.

主要方法:

从3D土壤扫描中开发一个沉浸式VR系统,用于从3D土壤扫描中提取根系.
用户研究涉及未经培训的参与者,将VR注释与经典方法进行比较.
使用F1分数和用户体验/可用性指标对根提取精度的评估.
使用VR工具在土壤体积内追踪根源的偏差分析.

主要成果:

虚拟现实系统在杂和清晰的合成数据集中显示出F1根提取得分的显著改善.
与传统方法相比,参与者报告说,沉浸式VR工具的可用性和用户体验有所改善.
该研究确定并评估了与用户在3D土壤体积中追踪根源相关的偏见.

结论:

沉浸式虚拟现实显著提高了从3D土壤扫描中提取根系的准确性和可用性.
开发的VR工具为传统注释方法提供了更好的替代方案,特别是当自动化方法不足时.
这项研究为基于VR的植物分析提供了对用户交互和潜在偏见的有价值的见解.