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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 |
| 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: rgbIndices_0.1.1.zip |
| macOS binaries: | r-release (arm64): rgbIndices_0.1.1.tgz, r-oldrel (arm64): rgbIndices_0.1.1.tgz, r-release (x86_64): rgbIndices_0.1.1.tgz, r-oldrel (x86_64): rgbIndices_0.1.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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