R Observatory: Metrics for FWRGB version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FWRGB

0.1.0

Fresh Weight Determination from Visual Image of the Plant

0packages depend

2.6Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Tanuj MisraFirst published 2021-12-091 releasesCRAN page ↗

Fresh biomass determination is the key to evaluating crop genotypes' response to diverse input and stress conditions and forms the basis for calculating net primary production. However, as conventional phenotyping approaches for measuring fresh biomass is time-consuming, laborious and destructive, image-based phenotyping methods are being widely used now. In the image-based approach, the fresh weight of the above-ground part of the plant depends on the projected area. For determining the projected area, the visual image of the plant is converted into the grayscale image by simply averaging the Red(R), Green (G) and Blue (B) pixel values. Grayscale image is then converted into a binary image using Otsu’s thresholding method Otsu, N. (1979) doi:10.1109/TSMC.1979.4310076 to separate plant area from the background (image segmentation). The segmentation process was accomplished by selecting the pixels with values over the threshold value belonging to the plant region and other pixels to the background region. The resulting binary image consists of white and black pixels representing the plant and background regions. Finally, the number of pixels inside the plant region was counted and converted to square centimetres (cm2) using the reference object (any object whose actual area is known previously) to get the projected area. After that, the projected area is used as input to the machine learning model (Linear Model, Artificial Neural Network, and Support Vector Regression) to determine the plant's fresh weight.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)

install.packages("FWRGB", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-fwrgb

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-FWRGB

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

Health

CRAN checks

13OK

Slowest check: 1.2 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

4

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 100%

Downloads

2.6K

CRAN downloads in the past year

Rank #17,474 · ~7/day · ~215/mo

Releases R versions

Daily download trend is not available in this view yet.

15130 days

61590 days

2.6K1 year

Compare downloads with other packages →

Also on108 r2u

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (4)

e1071 imager neuralnetstats

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (7)

Maintainer (1)

Tanuj Misra

Author, Maintainer

Authors (7)

Author, Maintainer

Author

Author

Author

Sayanti Guha Majumder

Author

Sudeep Marwaha

Author

Mrinmoy Ray

Author

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2021-12-09
Total releases: 1 / 5 yrs
License: GPL-3 OSI
Download size: 234 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Agricultural Science

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FWRGB")

Format

Misra, T., Arora, A., Kumar, S., Kumar, S., Majumder, S. G., Marwaha, S., & Ray, M. (2021). FWRGB: Fresh Weight Determination from Visual Image of the Plant (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.FWRGB

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FWRGB version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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