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Exploring the use of near infrared reflectance spectroscopy to study physical properties and microelements in soils

机译:探索使用近红外反射光谱法研究土壤的物理性质和微量元素

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Near infrared (NIR) reflectance spectroscopy was used to predict the content of silt, sand, clay, iron (Fe), copper (Cu), manganese (Mn) and zinc (Zn) in soil. A total of 332 samples from agricultural soils (0-15 cm depth) in Uruguay (South America) were used. The samples were scanned in a monochromator instrument (NlRSystems 6500, Silver Spring, MD, USA). Two mathematical treatments (first and second derivative) with SNVD (scatter normal variate and detrend) and without scatter correction were studied. Modified partial least squares (mPLS) was used to develop the calibration models. The coefficient of determination in calibration (R{sub}(cal){sup}2) and the standard error in calibration (SEC) using the second derivative were 0.81 (SEC: 5.1), 0.83 (SEC: 5.3), 0.92 (SEC: 2.6) for percent sand, silt and clay, respectively. The R{sub}(cal){sup}2 and standard error of cross-validation (SECV) were for Cu 0.87 (SEC: 0.7), for Fe 0.92 (SEC: 21.7), for Mn 0.72 (SEC: 83.0) and for Zn 0.72 (SEC: 1.2) on mg kg{sup}(-1) dry matter. It was concluded that NIR reflectance spectroscopy has a great potential as an analytical method for routine analysis of soil texture, Fe, Zn and Cu due the speed and low cost of analysis.
机译:近红外(NIR)反射光谱法用于预测土壤中泥沙,沙子,粘土,铁(Fe),铜(Cu),锰(Mn)和锌(Zn)的含量。总共使用了来自乌拉圭(南美)的农业土壤(0-15厘米深)的332个样品。在单色仪(NIRSystems 6500,Silver Spring,MD,美国)中扫描样品。研究了使用SNVD(分散正态变量和下降趋势)且未进行分散校正的两种数学处理(一阶和二阶导数)。修改后的偏最小二乘(mPLS)用于开发校准模型。使用二阶导数的校准确定系数(R {sub}(cal){sup} 2)和校准标准误差(SEC)分别为0.81(SEC:5.1),0.83(SEC:5.3),0.92(SEC) :2.6)分别表示沙子,淤泥和粘土的百分比。交叉验证的R {sub}(cal){sup} 2和标准误(SECV)对于Cu 0.87(SEC:0.7),Fe 0.92(SEC:21.7),Mn 0.72(SEC:83.0)和毫克公斤{sup}(-1)干物质中的锌0.72(SEC:1.2)。结论是,近红外反射光谱法作为分析土壤质地,铁,锌和铜的常规方法,具有分析速度快,成本低的巨大潜力。

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