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LARGB  

Leaf Area Determination from Visual Image
View on CRAN: Click here


Download and install LARGB package within the R console
Install from CRAN:
install.packages("LARGB")

Install from Github:
library("remotes")
install_github("cran/LARGB")

Install by package version:
library("remotes")
install_version("LARGB", "0.1.0")



Attach the package and use:
library("LARGB")
Maintained by
Tanuj Misra
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-28
Latest Update: 2023-03-01
Description:
Measurements of leaf area are important in the studies of plant biological characteristics. High-throughput plant phenotyping using image analysis is the key area in the domain of plant phenotyping. For determining the leaf area the RGB image is converted into the grayscale image by simply averaging the RedR Green G and Blue B pixel values. Grayscale image is then converted into a binary image using Otsus thresholding method Otsu N. 1979 doi10.1109TSMC.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 respectively. 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 leaf area.
How to cite:
Tanuj Misra (2021). LARGB: Leaf Area Determination from Visual Image. R package version 0.1.0, https://cran.r-project.org/web/packages/LARGB. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2021-09-28 11:00)
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Functions, R codes and Examples using the LARGB R package
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Some associated R codes: LARGB.R .  Full LARGB package functions and examples
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