基于NIRS的马尾松苗木根部含水量预测模型

倪超; 张云; 高捍东

doi:10.3969/j.issn.1000-2006.201902028

倪超, 张云, 高捍东

南京林业大学学报（自然科学版） ›› 2019, Vol. 43 ›› Issue (6) : 91-96.

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南京林业大学学报（自然科学版） ›› 2019, Vol. 43 ›› Issue (6) : 91-96. DOI: 10.3969/j.issn.1000-2006.201902028

研究论文

基于NIRS的马尾松苗木根部含水量预测模型

倪超 ¹ ,
张云 ¹ ,
高捍东 ²

作者信息 +

Prediction model of moisture content of masson pine seedling roots based on near infrared spectroscopy

Author information +

文章历史 +

摘要

【目的】马尾松是我国南方主要造林树种,其根部水分含量是评价树木活力的重要指标。本研究构建了一种基于近红外光谱(near infrared spectroscopy,NIRS)的马尾松苗木根部含水量预测模型。【方法】首先采集根部近红外光谱数据,然后利用可变加权堆叠自动编码器结合支持向量回归构建预测模型。可变加权堆叠自编码器用来逐层提取与输出相关的特征,支持向量回归根据自编码器生成的特征实现了含水量更精确预测。【结果】与其他常用模型的结果相比,提出的模型在马尾松苗木根部水分预测中可以达到最佳性能,校正集中决定系数达到0.970 8,均方根误差为0.635 8;预测集中决定系数达到0.941 3,均方根误差为1.027 0。【结论】基于近红外光谱技术, 可变加权堆叠自动编码器与支持向量回归相结合可实现马尾松苗木根部含水量准确预测。

Abstract

【Objective】 Masson pine is the main afforestation species in southern China. The moisture content of roots is an important indicator for evaluating the vigour of seedlings. In this study, the method for estimating moisture content of masson pine seedling roots based on near infrared spectroscopy is advanced. 【Method】 The spectrum of masson pine seedling root is obtained. The prediction model which combines variable-wise weighted stacked autoencoder with support vector regression, was proposed to estimate the moisture content in the root of masson pine seedlings. The variable-wise weighted stacked autoencoder is used to extract the features which relating to the output and the support vector regression further accurately predict the moisture contents by using the identified features. 【Result】 Compared with the other commonly used models, our model had the best performance in the root moisture prediction, withR² value of 0.970 8 and RMSE of 0.635 8 in the training dataset and R² value of 0.941 3 and RMSE of 1.027 0 in the validation dataset. 【Conclusion】 The combination of the variable-wise weighted stacked autoencoder and support vector regression is feasible to realize the accurate prediction of moisture content in masson pine seedlings based on near infrared spectroscopy.

导出引用

倪超, 张云, 高捍东. 基于NIRS的马尾松苗木根部含水量预测模型[J]. 南京林业大学学报（自然科学版）. 2019, 43(6): 91-96 https://doi.org/10.3969/j.issn.1000-2006.201902028

NI Chao, ZHANG Yun, GAO Handong. Prediction model of moisture content of masson pine seedling roots based on near infrared spectroscopy[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2019, 43(6): 91-96 https://doi.org/10.3969/j.issn.1000-2006.201902028

中图分类号： S725

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