wheat: wheat Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

wheat Bayesian Network

Description

Embedding expert opinion in a Bayesian network model to predict wheat yield from spring-summer weather.

Format

A discrete Bayesian network to predict wheat yield. Probabilities were given within the referenced paper. The vertices are:

MaximumTemperature

(Low, Medium, High);

MeanTemperature

(Moderate, Other);

NDVIinMarch

(Low, Medium, High, Very High);

Rainfall

(Dry, Average, Very Wet, Drought and Very Wet);

Yield

(Very Low, Low, Average, High, Very High).

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Mahmood, S. A., Karampoiki, M., Hammond, J. P., Paraforos, D. S., Murdoch, A. J., & Todman, L. (2023). Embedding expert opinion in a Bayesian network model to predict wheat yield from spring-summer weather. Smart Agricultural Technology, 4, 100224.

bnRep documentation built on April 12, 2025, 1:13 a.m.