Evaluation on wood properties of 6 years-old platinum teak through near infrared spectroscopy Available to Purchase

Developing a fast-growing teak wood to fill the gap in industrial wood demand requires an effort to evaluate the wood's properties from its early growth stage. Near Infrared spectroscopy (NIR) in combination with Partial Least Square Regression (PLSR) is well known as rapid and non-destructive analysis of wood qualities. The current study investigated the prediction model of wood properties of 6 years-old Platinum teak, such as density, Modulus of Rupture (MOR), and Modulus of Elasticity (MOE) by using NIR and PLSR. Three trees of Platinum teak were used in this study. The density, MOR, and MOE of the samples were conventionally measured as a standard to build a model. NIR spectra were collected at the wavenumber of 10,000-4,000 cm⁻¹, and then a PLSR analysis was performed on the self-written Python program. The results showed that the density model has adequate R² validation, but MOR and MOE models have weak models. The density prediction model using the original spectra was better than the second derivative spectra. On the contrary, the best MOR and MOE models were achieved by using second derivative spectra. The regression coefficient for the density model revealed five important bands that affect the model.