Using Artificial Intelligence to Assist Tree Risk Assessment

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Figure 1.
Set formation of lever arm.
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Figure 2.
Creation of the variable “wind exposure.”
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Figure 3.
Assessment of tree load with trackbars, based on Bond 2011b.
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Figure 4.
Learning mode.

Table 1.

Example of a logical axiom with n parameters and m rules.

	If Parameter 1		Parameter 2		Parameter 3		Parameter n		Conclusion
Rule 1	Wind exposure (protected)	AND	Surface area (normal)	AND	Lever arm (short/pruned)	AND	…	THEN	Load (low)
Rule 2	Wind exposure (partial)	AND	Surface area (low)	AND	Lever arm (normal)	AND	…	THEN	Load (medium)
Rule 3	Wind exposure (full)	AND	Surface area (high)	AND	Lever arm (long)	AND	…	THEN	Load (extreme)
Rule 4 to m	…	AND	…	AND	…	AND	…	THEN	Load …
	…		…		…		…		…