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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "FWRGB" in publications use:'
type: software
license: GPL-3.0-only
title: 'FWRGB: Fresh Weight Determination from Visual Image of the Plant'
version: 0.1.0
doi: 10.32614/CRAN.package.FWRGB
abstract: 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) <https://doi.org/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.
authors:
- family-names: Misra
  given-names: Tanuj
  email: tanujmisra102@gmail.com
- family-names: Arora
  given-names: Alka
  email: Alka.Arora@icar.gov.in
- family-names: Marwaha
  given-names: Sudeep
  email: Sudeep.Marwaha@icar.gov.in
- family-names: Kumar
  given-names: Shailendra
  email: shailendrabujhansi@gmail.com
- family-names: Ray
  given-names: Mrinmoy
  email: mrinmoy4848@gmail.com
- family-names: Kumar
  given-names: Sudhir
  email: sudhirnpf@gmail.com
- family-names: Majumder
  given-names: Sayanti Guha
  email: sayanti23gm@gmail.com
repository: https://tanujrlbcau.r-universe.dev
commit: f45392763b782f4bd46917876acfe1f74c038ba2
date-released: '2021-12-09'
contact:
- family-names: Misra
  given-names: Tanuj
  email: tanujmisra102@gmail.com