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FEASIBILITY OF DETECTING SOIL NITRATE CONTENT USING A MID–INFRARED TECHNIQUE

机译:用中红外技术检测土壤硝酸盐含量的可行性

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摘要

The long-range goal of this study was to develop a portable, soil nitrate sensor to determine soil nitrate content in-situ. The immediate objective of this study was to develop a rapid technique to determine soil nitrate content using diffuse reflectance spectroscopy in the mid-infrared (MIR) range. A Fourier Transform Infrared (FTIR) spectrophotometer was used to determine the MIR response of various concentrations of calcium nitrate solution in water. The results clearly showed the existence of a strong nitrate absorption peak at 7194 nm (1390 cm -1 ). For KBr-diluted soil samples, the ratio of the area under the nitrate absorbance peak (1360-1390 cm -1 ) to the water absorbance peak (1640-1660 cm -1 ) was proportional to nitrate concentration. Mid-infrared diffuse reflectance spectroscopy detected soil nitrate content at low concentrations in KBr-diluted soil samples. However, when undiluted soil samples containing varying amounts of nitrate content were tested in the MIR range, it was necessary to further condition the data with noise filtering techniques. Three noise removal techniques were compared to improve the spectral quality: (1) the Savitzky and Golay, (2) FFT filtering, and (3) wavelet denoising. The wavelet denoising technique resulted in the highest coefficient of determination (R 2 = 0.856) for nitrate prediction. These noise removal techniques could not remove specular reflection effects and band overlap. To overcome these problems, a continuous wavelet transform, which could remove specular reflection as well as minimize noise, was used to deconvolute the soil spectral data, resulting in a high correlation (R 2 = 0.878) between soil nitrate content and MIR diffuse spectral reflectance
机译:这项研究的长期目标是开发一种便携式土壤硝酸盐传感器,以现场测定土壤硝酸盐含量。这项研究的近期目标是开发一种使用中红外(MIR)范围的漫反射光谱法测定土壤硝酸盐含量的快速技术。使用傅立叶变换红外(FTIR)分光光度计确定水中各种浓度的硝酸钙溶液的MIR响应。结果清楚地表明在7194 nm(1390 cm -1 )处存在很强的硝酸盐吸收峰。对于稀释了KBr的土壤样品,硝酸盐吸收峰(1360-1390 cm -1 )下的面积与吸水峰(1640-1660 cm -1 sup)的比值>)与硝酸盐浓度成正比。中红外漫反射光谱法在稀释KBr的土壤样品中检测到低浓度的土壤硝酸盐含量。但是,当在MIR范围内测试硝酸盐含量变化的未稀释土壤样品时,有必要使用噪声过滤技术进一步处理数据。比较了三种噪声去除技术以改善频谱质量:(1)Savitzky和Golay,(2)FFT滤波,以及(3)小波消噪。小波去噪技术导致硝酸盐预测的最高测定系数(R 2 = 0.856)。这些噪声消除技术无法消除镜面反射效果和频带重叠。为了克服这些问题,使用连续小波变换可以消除镜面反射并使噪声最小化,从而对土壤光谱数据进行反卷积处理,从而使土壤之间的相关性较高(R 2 = 0.878)硝酸盐含量和MIR漫反射光谱反射率

著录项

  • 来源
    《Transactions of the ASAE》 |2001年第6期|p.1931-1940|共10页
  • 作者单位

    Mohammad Reza Ehsani, ASAE Member Engineer , Assistant Professor, Department of Food, Agricultural, and Biological Engineering, Ohio State University, Columbus, Ohio;

    Shrini K. Upadhyaya, ASAE Member Engineer , Professor, and David Slaughter , ASAE Member Engineer , Professor, Department of Biological and Agricultural Engineering, University of California-Davis, Davis, California;

    and W. Ronald Fawcett , Professor, and Lesia V. Protsailo , Graduate Student, Chemistry Department, University of California, Davis, California;

    Corresponding author: Mohammad Reza Ehsani, Dept. of Food, Agricultural, and Biological Engineering, Ohio State University, Columbus, OH 43210-1057;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Precision farming; Mid-infrared; spectroscopy; Soil nitrate;

    机译:精耕;中红外光谱学土壤硝酸盐;

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