Embedding expert opinion in a Bayesian network model to predict wheat yield from spring-summer weather.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network to predict wheat yield. Probabilities were given within the referenced paper. The vertices are:
(Low, Medium, High);
(Moderate, Other);
(Low, Medium, High, Very High);
(Dry, Average, Very Wet, Drought and Very Wet);
(Very Low, Low, Average, High, Very High).
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.