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The potential for using artificial neural networks to model radiata pine branch diameter distribution patterns
(Lincoln University, 2001)
Understanding diameter distribution patterns of branches within whorls in radiata pine (pinus radiata D. Don) is crucial/important to the eventual development of automation designed to detect defects (knots) on logs, which ...
Development of a simulation model for drying deformation in radiata pine boards
(Lincoln University, 1998)
Drying deformation of radiata pine (Pinus Radiata D. Don) boards results in a great loss of revenue to the wood industry. A computer simulation model, which is capable of predicting the drying quality of radiata pine boards, ...