# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "PhenoSpectra" in publications use:' type: software license: MIT title: 'PhenoSpectra: Multispectral Data Analysis and Visualization' version: 0.1.0 doi: 10.32614/CRAN.package.PhenoSpectra abstract: 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. authors: - family-names: Mahmoud given-names: Medhat email: medhat.mahmoud@bayer.com repository: https://medhat-mahmoud.r-universe.dev commit: ed47850803dfb5d12af1d39bb087c99839f8bcd5 date-released: '2025-03-05' contact: - family-names: Mahmoud given-names: Medhat email: medhat.mahmoud@bayer.com