Test of content of nitrogen and phosphorus in soil based on artificial neural network and near-infrared reflectance spectroscopy

被引：0
|
作者：
Yan Lingfei [1 ]
Cong Yuliang [1 ]
Zhang Shuhui [1 ]
Li Wei [1 ]
机构：
[1] Jilin Univ, Changchun 130025, Peoples R China
来源：
Proceedings of the First International Symposium on Test Automation & Instrumentation, Vols 1 - 3 | 2006年
关键词：
nitrogen; phosphorus; neural network; near-infrared reflectance spectroscopy;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper. the content of nitrogen and Phosphorus in soil is determined by neural network and near-infrared reflectance spectroscopy. The dimensions of sample data are reduced from 570 down to 19 by Discrete Cosine Transformation (DCT) before the mathematic model is established. The research result shows that the determinative coefficients is nitrogen R-2 = 0.9624, phosphorus R-2 = 0.9735 respectively. The result demonstrates that the model established in the paper has application value.
引用
收藏
页码：1588 / 1590
页数：3
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