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Koc, Alexander, 2017. PlantSpec : an R package for interactive analysis of spectral data for highthroughput plant phenotyping. Second cycle, A2E. Alnarp: SLU, Dept. of Plant Breeding (from 130101)



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.

Main title:PlantSpec
Subtitle:an R package for interactive analysis of spectral data for highthroughput plant phenotyping
Authors:Koc, Alexander
Supervisor:Chawade, Aakash
Examiner:Alexandersson, Erik
Volume/Sequential designation:UNSPECIFIED
Year of Publication:2017
Level and depth descriptor:Second cycle, A2E
Student's programme affiliation:None
Supervising department:(LTJ, LTV) > Dept. of Plant Breeding (from 130101)
Keywords:hyperspectral data, high throughput phenotyping, R programming, bioinformatics
Permanent URL:
Subject. Use of subject categories until 2023-04-30.:Plant ecology
Deposited On:28 Sep 2018 06:54
Metadata Last Modified:27 Feb 2019 10:49

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