Computes RGB-based vegetation, color, and spectral indices from digital images for applications in agriculture, crop phenotyping, and remote sensing. The methods are based on digital image processing and plant phenotyping approaches (Singh et al. (2023) <doi:10.1080/10106049.2022.2160831>).
| Version: | 0.1.1 |
| Imports: | raster, tibble |
| Suggests: | knitr, rmarkdown |
| Published: | 2026-04-29 |
| DOI: | 10.32614/CRAN.package.rgbIndices (may not be active yet) |
| Author: | RN Singh [aut], Bappa Das [aut], Sonam [aut], Anil Kumar [aut], Santosha Rathod [aut, cre] |
| Maintainer: | Santosha Rathod <santoshagriculture at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | rgbIndices results |
| Reference manual: | rgbIndices.html , rgbIndices.pdf |
| Vignettes: |
RGB Visible Indices for Image Analysis (source, R code) |
| Package source: | rgbIndices_0.1.1.tar.gz |
| Windows binaries: | r-devel: rgbIndices_0.1.1.zip, r-release: rgbIndices_0.1.1.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): rgbIndices_0.1.1.tgz, r-oldrel (arm64): rgbIndices_0.1.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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