Biomass.Estimation: Fresh Weight Determination from the Projected Area of the...

In FWRGB: Fresh Weight Determination from Visual Image of the Plant

Description

The projected area obtained from the visual image of the plant 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.

Usage

Biomass.Estimation(Biomass, PA, model = c("lm", "ANN", "SVM"), newPA)

Arguments

Biomass	ground truth fresh biomass of the above ground plant parts for the model development
PA	a numeric value representing projected area (in cm square) of the above ground plant parts from the visual image of the plant
model	the applied machine learning model i.e., "lm" or, "ANN" or,"SVM"
newPA	out of sample projected area (in cm square) of the above ground plant parts from the visual image of the plant

Value

Fresh weight in gm

References

Patil, S. B., & Bodhe, S. K. (2011). Betel leaf area measurement using image processing. International Journal on Computer Science and Engineering, 3(7), 2656-2660.
Misra, T., Marwaha, S., Arora, A., Ray, M.,Kumar, S., Kumar, S. (2021). Leaf area assessment using image processing and support vector regression in rice. Indian Journal of Agricultural Sciences, 91 (3), 388–92.

Examples

y=c(28.3,19.8,13,17.4,13.8,18.5,8.5,19.1)# Ground truth fresh biomass
x=c(4426.7,2993.9,1913.5,1966.3,2008.8,2297.6,1564.9,2541.6)# projected area of the plant
x1=c(3683.062,2548.309,2677.843,2669.239,1933.728)# out of sample projected area (in cm square)

Biomass.Estimation(Biomass=y,PA=x,model="ANN",newPA = x1)

FWRGB documentation built on Dec. 9, 2021, 9:08 a.m.