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bnRep (version 0.0.3)

compaction: compaction Bayesian Network

Description

A Bayesian approach toward the use of qualitative information to inform on-farm decision making: The example of soil compaction.

Arguments

Value

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

Format

A discrete Bayesian network to highlight the financial consequences of failing to adopt controlled traffic farming management for a particular agricultural enterprise. The probabilities were given within the referenced paper. The vertices are:

ClayContent

(Very Low, Low, Medium, High, Very High);

CompactionRisk

(Low, Medium, High);

CompactionVulnerability

(Low, Medium, High);

InherentSusceptibility

(Low, Medium, High);

SoilWetness

(Dry, Moist, Wet);

TotalExposure

(Low, Medium, High);

References

Roberton, S. D., Lobsey, C. R., & Bennett, J. M. (2021). A Bayesian approach toward the use of qualitative information to inform on-farm decision making: the example of soil compaction. Geoderma, 382, 114705.