Epsilon Archive for Student Projects

Abstract

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.