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.
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