安徽农业科学Issue(2)：567-569,3.
长波近红外光谱在土壤总氮分析与稳定性中的应用
Long-Wave NIR Spectroscopy Applied to Analysis of Total Nitrogen in Soil and Stability
摘要
Abstract
[Objective] Through modeling process of the calibration set, the prediction set and validation set, the near-infrared (NIR) spectroscopy model for rapid analysis of total nitrogen in soil was established by using partial least squares (PLS) method combined with waveband selection. [ Method ] In order to avoid the evaluation distortion for modeling, a rigorous modeling system was proposed based on randomness, similarity and stability. The overall scanning region (400 -2 498 nm) was separated into the visible region (400 -780 nm), the short-wave NIR region (780 - 1 100 nm) , and the long-wave NIR region (1 100 -2 498 nm). [ Result] By comparison and validation, the results indicated that the long-wave NIR region had the best prediction accuracy and stability, and the optimal PLS factor was 8, the validation root mean square error of prediction (V-SEP) and the validation correlation coefficient of prediction (V-RP) were 0. 118 g/kg and 0.857, respectively, anobjective and stable prediction model was obtained.关键词
土壤/总氮/长波近红外光谱/偏最小二乘/稳定性Key words
Soil: Total nitroeen: Lone-wave NIR spectroscopy: Partial least squares/ Stability分类
农业科技引用本文复制引用
陈定星,潘涛,陈洁梅,姚立军..长波近红外光谱在土壤总氮分析与稳定性中的应用[J].安徽农业科学,2013,(2):567-569,3.基金项目
国家自然科学基金(No.61078040) （No.61078040）
中央高校基本科研业务费专项资金(No.21611513) （No.21611513）
土壤与农业可持续发展国家重点实验室(中国科学院南京土壤研究所)开放课题基金(No.0812201201). （中国科学院南京土壤研究所）
