A Polynomial Stem Volume Estimation on Cinnamon Wood For Cinnamomum Extracts of Aldehyde Content

Abstract

Background:The potentials of cinnamon wood, extracts and oils in a variety of industries and their applications are undeniable. As a natural and safe alternative, the need of an estimation tool is vital. Hence, this study proffers to outline the estimation processes involving the parameters of the stem volume of cinnamon wood with the tree mensuration variables using the polynomial regression technique. Methods: Polynomial models with the auxiliary variables are considered up to the first order of interactions and polynomial characterization of the quadratic terms. Nonlinearity of data variables exhibit the need of data conversion into generated variables. Preliminary, data normality using the maximum p-value approach is executed. Results: Modelling procedures are performed on all polynomial models and comparisons are made based on the eight selection criteria (8SC). The best polynomial model is identified when it satisfies all of the minimum values of the eight selection criteria. Conclusion: The best polynomial model is found to have a quadratic term with direct and positive contributions from the diameters at the base, middle and tree height and inversely from the diameter at the top. Interaction factors are contributed by the diameters at the top, breast height and the generated variable. The estimation efficiency of 6.442% has signified good predictive capability towards stem volume estimation.