The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

rgbIndices

An R package for computing RGB-based vegetation and color indices from digital images.

Installation

devtools::install_local("rgbIndices")

Example

library(rgbIndices)
library(raster)

# ---------------------------
# Fast example (CRAN-safe)
# ---------------------------
r <- raster(matrix(runif(30*30), 30, 30))
g <- raster(matrix(runif(30*30), 30, 30))
b <- raster(matrix(runif(30*30), 30, 30))
img <- stack(r, g, b)

# Compute indices
idx  <- rgb_basic(img)
idx1 <- rgb_diff(img)
idx2 <- rgb_ratio(img)
idx3 <- rgb_normdiff(img)
idx4 <- rgb_veg(img)
idx5 <- rgb_color(img)

# Summary statistics
rgb_indices_to_mean(idx)

# Convert to table
tbl <- rgb_indices_to_tbl(idx)
head(tbl)

# ---------------------------
# Real image example
# ---------------------------
img_real <- stack(rgb_example())
plotRGB(img_real)
rgb_basic(img_real)

Applications

• Crop phenotyping
• Disease detection
• Precision agriculture
• Image-based modeling

Reference

Singh, R. N., Krishnan, P., Singh, V. K., & Das, B. (2023). Estimation of yellow rust severity in wheat using visible and thermal imaging coupled with machine learning models. Geocarto International.
https://www.tandfonline.com/doi/full/10.1080/10106049.2022.2160831 ## Authors

RN Singh Bappa Das Sonam Anil Kumar Santosha Rathod (Maintainer)

Email: santoshagriculture@gmail.com

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.
Health stats visible at Monitor.