A 3D Optimal Bucking System for Central Appalachian Hardwood Species

An optimal tree-stem bucking system was developed for central Appalachian hardwood species using 3D modeling techniques. ActiveX Data Objects were implemented via MS Visual C++/OpenGL to manipulate tree data which were supported by a backend relational data model with five data tables for stems, grades and prices, logs, defects and stem shapes. Network analysis algorithm was employed to achieve the optimal bucking solution with different alternative stage intervals. Once all the data associated with a tree-stem were retrieved, a 3D tree-stem could be displayed for either optimal or manual bucking based on the user’s options. Log rules of Doyle and International 1⁄4” were used to compute the log volumes during the bucking processes. The grading and pricing system was modeled for some major central Appalachian hardwood species based on the mill survey. The bucking system can be used as a training tool or compiled for installation on a handheld or field PC to improve the hardwood utilization in the region.