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利用光谱分析技术 ,进行了农田原始状态土壤样品的可见光光谱与土壤参数之间的相关、回归分析。土壤样品采集于一块水分较低的玉米地和一块水分较高的牧草地 ,所分析的土壤参数有土壤水分、土壤有机质含量、土壤硝态氮含量、土壤电导率以及土壤 p H值 ,土样的可见光光谱由精密分光光度计测量。分析结果显示 ,有效的光谱特性值为反射光谱的一次微分 ,所有 5个土壤参数都可以利用土样的可见光光谱特性进行分析和检测。对于土壤水分、土壤有机质含量、土壤电导率以及土壤 p H值 ,线性模型是有效的 ;而对于土壤硝态氮含量 ,则需要利用多元指数模型进行分析或检测。
Using spectral analysis technique, the correlation and regression analysis between the visible light spectra and the soil parameters of the original soil samples were conducted. Soil samples were collected from a low-moisture corn field and a pasture with high water content. Soil parameters analyzed included soil moisture, soil organic matter content, soil nitrate content, soil conductivity, and soil p H values. Soil samples The visible spectrum is measured by a precision spectrophotometer. The analysis results show that the effective spectral characteristic value is the first derivative of the reflection spectrum, and all five soil parameters can be analyzed and detected by using the visible spectral characteristics of the soil sample. The linear model is valid for soil moisture, soil organic matter content, soil conductivity, and soil p H values, whereas for soil nitrate N content, multivariate exponential models need to be used for analysis or detection.