wheat {bnRep} | R Documentation |
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.
[Package bnRep version 0.0.1 Index]