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Construction of Root Locus01:15

Construction of Root Locus

373
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...
373

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  1. Home
  3. Vroot: A Vr-based Application For Manual Root System Architecture Reconstruction.
  1. Home
  3. Vroot: A Vr-based Application For Manual Root System Architecture Reconstruction.

Related Experiment Video

A Simple Protocol for Mapping the Plant Root System Architecture Traits
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VRoot: A VR-Based application for manual root system architecture reconstruction.

Dirk N Baker1,2, Tobias Selzner3, Jens Henrik Göbbert1

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

Plant Phenomics (Washington, D.C.)
|December 19, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a virtual reality tool for root system analysis, improving accuracy in root extraction from soil scans. The immersive method enhances usability and outperforms traditional annotation techniques for plant root system architecture.

Keywords:
3D image analysisImmersive analyticsRoot phenotypingRoot system architectureVirtual reality

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Area of Science:

  • Agricultural Science
  • Computer Science
  • Bioinformatics

Background:

  • Automated root system analysis tools often lack the precision of expert annotations.
  • Accurate root system architecture (RSA) is crucial for plant science research.
  • Existing 3D scanning and annotation methods can be labor-intensive and error-prone.

Purpose of the Study:

  • To develop and evaluate an immersive virtual reality (VR) tool for reconstructing root system architectures from 3D soil scans.
  • To compare the accuracy and usability of the VR tool against classical annotation methods.
  • To assess the impact of data clarity (noisy vs. clear) on root extraction performance.

Main Methods:

  • Development of an immersive VR system for root system extraction from 3D soil scans.
  • User study involving untrained participants comparing VR annotation with classical methods.
  • Evaluation of root extraction accuracy using F1 scores and user experience/usability metrics.
  • Analysis of biases in root tracing within soil volumes using the VR tool.

    • Main Results:

    • The VR system demonstrated significant improvement in F1 scores for root extraction across both noisy and clear synthetic datasets.
    • Participants reported improved usability and user experience with the immersive VR tool compared to classical approaches.
    • The study identified and evaluated biases associated with user tracing of roots in 3D soil volumes.

    Conclusions:

    • Immersive virtual reality significantly enhances the accuracy and usability of root system extraction from 3D soil scans.
    • The developed VR tool offers a superior alternative to traditional annotation methods, especially when automated approaches are insufficient.
    • This research provides valuable insights into user interaction and potential biases in VR-based botanical analysis.