| Journal: | Maderas : ciencia y tecnología |
| Database: | |
| System number: | 000534441 |
| ISSN: | 0718-221X |
| Authors: | Shukla, Shri Ram1 Sharma, Suman Kumar1 |
| Institutions: | 1Institute of Wood Science and Technology, Malleswaram Bengaluru. India |
| Year: | 2021 |
| Volumen: | 23 |
| Country: | Chile |
| Language: | Inglés |
| English abstract | Near infrared spectroscopy is non-invasive and may be applied as a rapid and cost effective technique for assessment of quality parameters of timber. Near infrared spectra of Tectona grandis (teak) wood samples were collected before measuring physical (density, equilibrium moisture content) and strength (flexural and compressive) properties using conventional methods. Partial least squares regression was used to develop calibration models between measured wood properties and near infrared data. The best near infrared spectra pre-processing methods differed by property. Linear calibration models with high R², low error and high ratio of performance to deviation values were observed from partial least squares analysis for different wood properties. These linear models may be applied for rapid and precise estimation of the properties examined in testing and evaluation procedures for commercially valuable teak wood. |
| Keyword: | Calibration models, Compression properties, Density, Equilibrium moisture content, Flexural properties, NIRS, Timber |
| Full text: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
