MULTIVARIATE REGRESSION METHODS FOR ESTIMATING BASIC DENSITY IN Eucalyptus WOOD FROM NEAR INFRARED SPECTROSCOPIC DATA
Near infrared (NIR) spectroscopy is a fast and efficient technique to predict a range of wood traits; however, methods for extracting useful information from the NIR spectra could be improved. Thus, the aim of this study was to evaluate the statistic performance of two regression methods for estimat...
保存先:
| 出版年: | CERNE |
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| 第一著者: | |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Universidade Federal de Lavras
2010
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| 主題: | |
| オンライン･アクセス: | https://www.redalyc.org/articulo.oa?id=74459381012 |
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