PhenoSpectra: Multispectral Data Analysis and Visualization
Provides tools for processing, analyzing, and visualizing spectral data
collected from 3D laser-based scanning systems. Supports applications in agriculture,
forestry, environmental monitoring, industrial quality control, and biomedical research.
Enables evaluation of plant growth, productivity, resource efficiency, disease
management, and pest monitoring. Includes statistical methods for extracting insights
from multispectral and hyperspectral data and generating publication-ready visualizations.
See Zieschank & Junker (2023) <doi:10.3389/fpls.2023.1141554> and
Saric et al. (2022) <doi:10.1016/J.TPLANTS.2021.12.003> for related work.
| Version: |
0.1.0 |
| Imports: |
readxl, writexl, dplyr, tidyr, data.table, lubridate, openxlsx, broom, magrittr, rlang, utils, stats |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2025-03-05 |
| DOI: |
10.32614/CRAN.package.PhenoSpectra |
| Author: |
Medhat Mahmoud [aut, cre],
Arianna Del Papa [ctb],
Melina Rampelmann [ctb],
Patrick Dohle [ctb] |
| Maintainer: |
Medhat Mahmoud <medhat.mahmoud at bayer.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
PhenoSpectra results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=PhenoSpectra
to link to this page.