安徽农业科学2012，Vol.40Issue(8)：4535-4537,4581,4.
可见-近红外光谱预测土壤有机质含量的研究
Study on Predicting Soil Organic Matter Content Based on Visible-Near Infrared Spectrum
苏玉珍 1杨锋 1王涛1
作者信息
- 1. 河北机电职业技术学院,河北邢台054048
- 折叠
摘要
Abstract
[Objective] Analytic models for soil organic matter content was developed based on soil visible-near infrared spectrum system. [ Method] 20 soil samples from Guandi mountain area were tested and analyzed by spectrum technology with a wavelength range from 400 run to 1 000 nm based on test system. [ Result] Soil organic matter content predicated by visible-near infrared spectrum was consistent with that by PLS method. [Conclusion] PLS (partial least square regression) method was used for establishing prediction model between soil organic matter and corresponding soil spectrum data.关键词
近红外反射光谱技术/土壤有机质/化学计量学/分析模型Key words
Near infrared spectroscopy/ Soil organic matter/ Chemometrics/ Analytic model分类
农业科技引用本文复制引用
苏玉珍,杨锋,王涛..可见-近红外光谱预测土壤有机质含量的研究[J].安徽农业科学,2012,40(8):4535-4537,4581,4.
