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Master Thesis | FZJ-2021-02279 |
2021
Jülich
Please use a persistent id in citations: http://hdl.handle.net/2128/30555
Abstract: The analysis of structural plant models at the Institute of Bio- and Geosciences 3 of the Jülich Research Center does not only incorporate plant development, plant health, and crop growth, but also simulations of water dynamics or enzymatic reactions at the root/soil interface.These simulations are calculated on plant models that describe the morphology of the root system.Through non-invasive scanning methods, volumes of root and soil are measured.The extraction of a root system from these scans can be done automatically or manually, or a combination of those two.For some volumentric scans, the signal-to-noise ratio is a particular challenge.To overcome that challenge, a neural network is used that combined components to segment as well as scale the data.A path-based tracing algorithm is used to extract a root skeleton from volume data.This algorithm, however, does not always produce good results.Even if small errors occur, the data sets should be checked and, if possible, parameter changes can be made.This thesis focuses on the implementation of an assisted root architecture editing tool that visualizes root topology and morphology and gives the user the ability to modify root traces.Furthermore, possibilities for redrawing of root systems are implemented and the data management integrates well into the analysis workflow.
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