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土壤中总氮与总磷含量的近红外光谱实时检测方法

, PP. 150-153

Keywords: 近红外光谱,测量,土壤总氮,土壤总磷,偏最小二乘法,最小二乘支持向量机

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Abstract:

以浙江省潮化盐土为研究对象,用近红外光谱分析技术探测土壤氮(N)和磷(P)的含量。从试验田采集6组土样,每组取20个样品,共计120个样品。利用均值法、卷积滤波确定最终光谱数据,然后采用偏最小二乘回归法(PLS)及最小二乘支持向量机(LS-SVM)分别建立了土壤总氮和总磷的近红外光谱模型,其中采用PLS所建模型的相关系数分别为0.9454(N)、0.9327(P),预测标准误差分别为0.0321(N)、0.0089(P)。采用LS-SVM所建模型的预测相关系数分别为0.9503(N)、0.9547(P),预测标准误差为0.0378(N)、0.0101(P)。分析结果表明采用近红外分析技术可以预测土壤总氮(N)和总磷(P)的含量

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