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ICCBR
2009
Springer

Case-Based Support for Forestry Decisions: How to See the Wood from the Trees

10 years 6 months ago
Case-Based Support for Forestry Decisions: How to See the Wood from the Trees
In forestry, it is important to be able to accurately determine the volume of timber in a harvesting site and the products that could potentially be produced from that timber. We describe new terrestrial scanning technology that can produce a greater volume of higher quality data about individual trees. We show, however, that scanner data still often produces an incomplete profile of the individual trees. We describe Cabar, a case-based reasoning system that can interpolate missing sections in the scanner data and extrapolate to the upper reaches of the tree. Central to Cabar’s operation is a new asymmetric distance function, which we define in the paper. We report some preliminary experimental results that compare Cabar with a traditional approach used in Ireland. The results indicate that Cabar has the potential to better predict the market value of the products.
Conor Nugent, Derek G. Bridge, Glen Murphy, Bernt-
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where ICCBR
Authors Conor Nugent, Derek G. Bridge, Glen Murphy, Bernt-Håvard Øyen
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