Package: PhenoSpectra Title: Multispectral Data Analysis and Visualization Version: 0.1.0 Authors@R: c( person("Medhat", "Mahmoud", email = "medhat.mahmoud@bayer.com", role = c("aut", "cre")), person("Arianna", "Del Papa", email = "arianna.delpapa@bayer.com", role = c("ctb")), person("Melina", "Rampelmann", email = "melina.rampelmann@bayer.com", role = c("ctb")), person("Patrick", "Dohle", email = "patrick.dohle@bayer.com", role = c("ctb"))) Description: 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) and Saric et al. (2022) for related work. License: MIT + file LICENSE Encoding: UTF-8 RoxygenNote: 7.3.2 Imports: readxl, writexl, dplyr, tidyr, data.table, lubridate, openxlsx, broom, magrittr, rlang, utils, stats Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Config/testthat/edition: 3 VignetteBuilder: knitr NeedsCompilation: no Packaged: 2026-10-14 07:00:14 UTC; root Author: Medhat Mahmoud [aut, cre], Arianna Del Papa [ctb], Melina Rampelmann [ctb], Patrick Dohle [ctb] Maintainer: Medhat Mahmoud Config/pak/sysreqs: libicu-dev zlib1g-dev Repository: https://medhat-mahmoud.r-universe.dev Date/Publication: 2025-03-05 13:00:09 UTC RemoteUrl: https://github.com/cran/PhenoSpectra RemoteRef: HEAD RemoteSha: ed47850803dfb5d12af1d39bb087c99839f8bcd5