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首页> 外文期刊>Revista rvore >Influência da idade na gera??o de modelos de espectroscopia NIR, para predi??o de propriedades da madeira de Eucalyptus spp.
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Influência da idade na gera??o de modelos de espectroscopia NIR, para predi??o de propriedades da madeira de Eucalyptus spp.

机译：年龄在NIR光谱模型产生的影响，用于预测桉树SPP木材性质。

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The objective of this work was the development of NIRS models for physical and chemical properties of Eucalyptus wood at the ages 3-7 years. A total of 136 samples were collected for laboratory analyzes of basic density, lignin and extractives. Chip samples were ground in a cyclone mill to collect NIR spectra. The models were developed by partial least squares (PLS) regression and tested mathematical transformations. For model validation were used external samples of different ages. The developed models resulted in significant coefficients of determination (R2) for basic density (from 0.84 to 0.89) and lignin (from 0.72 to 0.88), but the best R2 values were found for the extractives content (from 0, 92-.98). By the values of ratio of performance to deviation (RPD) were assessed that samples of different ages used in development of the models did not show good predictions. But the basic density showed, for models specifically designed for the ages of 3 and 7 years, satisfactory predictions using samples at the ages 4-6 years.
机译：这项工作的目的是在3 - 7年代桉树木材的物理和化学性质的发展模型的发展。收集总共有136个样品进行基本密度，木质素和提取物的实验室分析。在旋风磨机中研磨芯片样品以收集NIR光谱。该模型由偏最小二乘（PLS）回归和测试数学变换开发。对于模型验证，使用不同年龄的外部样本。开发模型导致基本密度（0.84至0.89）和木质素（0.72至0.88）的显着系数（R2）系数，但发现最佳的R2值用于提取物含量（从0,92-.98） 。通过对偏差的性能比率（RPD）的值进行评估，即在模型开发中使用的不同年龄的样本并未显示出良好的预测。但基本密度显示，对于专门为3年和7年的年龄而设计的模型，使用4-6岁的样本的令人满意的预测。

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