PlantSpec : an R package for interactive analysis of spectral data for highthroughput plant phenotyping

Hyperspectral phenotyping is a promising high-throughput plant phenotyping method that addresses the phenotyping bottleneck, in fields of plant science like crop improvement or study of plant diseases. However, high-throughput hyperspectral data poses a data management and analysis problem due to th...

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Autor principal: Koc, Alexander
Formato: H2
Lenguaje:Inglés
Publicado: SLU/Dept. of Plant Breeding (from 130101) 2017
Materias:
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author Koc, Alexander
author_browse Koc, Alexander
author_facet Koc, Alexander
author_sort Koc, Alexander
collection Epsilon Archive for Student Projects
description Hyperspectral phenotyping is a promising high-throughput plant phenotyping method that addresses the phenotyping bottleneck, in fields of plant science like crop improvement or study of plant diseases. However, high-throughput hyperspectral data poses a data management and analysis problem due to the sheer volume of data generated in the data collection process. The R Package presented in this paper seeks to address this problem by implementing a tool for easy and quick handling of large spectral datasets, and to provide functions for processing and analyzing of spectral data. This project also aims to implement functions in the package for calculating vegetation indices, and data visualization functions. Furthermore, this R package is extended into an online tool, that provides and interactive graphical user interface to the underlying R code.
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id RepoSLU13780
institution Swedish University of Agricultural Sciences
language Inglés
publishDate 2017
publishDateSort 2017
publisher SLU/Dept. of Plant Breeding (from 130101)
publisherStr SLU/Dept. of Plant Breeding (from 130101)
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spelling RepoSLU137802019-02-27T10:49:58Z PlantSpec : an R package for interactive analysis of spectral data for highthroughput plant phenotyping PlantSpec : ett tilläggspaket för R för interaktiv analys av spektraldata för höghastighetsfenotypning Koc, Alexander hyperspectral data high throughput phenotyping R programming bioinformatics Hyperspectral phenotyping is a promising high-throughput plant phenotyping method that addresses the phenotyping bottleneck, in fields of plant science like crop improvement or study of plant diseases. However, high-throughput hyperspectral data poses a data management and analysis problem due to the sheer volume of data generated in the data collection process. The R Package presented in this paper seeks to address this problem by implementing a tool for easy and quick handling of large spectral datasets, and to provide functions for processing and analyzing of spectral data. This project also aims to implement functions in the package for calculating vegetation indices, and data visualization functions. Furthermore, this R package is extended into an online tool, that provides and interactive graphical user interface to the underlying R code. SLU/Dept. of Plant Breeding (from 130101) 2017 H2 eng https://stud.epsilon.slu.se/13780/
spellingShingle hyperspectral data
high throughput phenotyping
R programming
bioinformatics
Koc, Alexander
PlantSpec : an R package for interactive analysis of spectral data for highthroughput plant phenotyping
title PlantSpec : an R package for interactive analysis of spectral data for highthroughput plant phenotyping
title_full PlantSpec : an R package for interactive analysis of spectral data for highthroughput plant phenotyping
title_fullStr PlantSpec : an R package for interactive analysis of spectral data for highthroughput plant phenotyping
title_full_unstemmed PlantSpec : an R package for interactive analysis of spectral data for highthroughput plant phenotyping
title_short PlantSpec : an R package for interactive analysis of spectral data for highthroughput plant phenotyping
title_sort plantspec : an r package for interactive analysis of spectral data for highthroughput plant phenotyping
topic hyperspectral data
high throughput phenotyping
R programming
bioinformatics