R Observatory: Metrics for FWRGB version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

FWRGB

0.1.0Package record

Fresh Weight Determination from Visual Image of the Plant

0packages depend

2.7Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Tanuj MisraCRAN 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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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

CRAN check page ↗

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

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: 100%2 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #18,529 · ~7/day · ~222/mo

Releases R versions

Daily download trend is not available in this view yet.

23230 days

70890 days

2.7K1 year

Compare downloads with other packages →

Also on83 r2u

How downloads are counted

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing FWRGB adds 25 packages (17 with compiled code, 26 MB of source tarballs). Heaviest: stringi 11 MB, igraph 4.8 MB, imager 4.3 MB.

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.

How these are counted

Code & Tests

People & History

People (7)

Tanuj Misra

Author, Maintainer since 0.1.0 (2021)

Alka Arora

Author

Shailendra Kumar

Author

Sudhir Kumar

Author

Sayanti Guha Majumder

Author

Sudeep Marwaha

Author

Mrinmoy Ray

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.1.0Latest
record
2021-12-09 · current release
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-12-09
Total releases: 1 / 5 yrs
License: GPL-3 OSI
Download size: 234 KB

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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