首页> 外文期刊>Transactions of the ASABE >EFFECTS OF SOIL MOISTURE CONTENT ON ABSORBANCE SPECTRA OF SANDY SOILS IN SENSING PHOSPHORUS CONCENTRATIONS USING UV-VIS-NIR SPECTROSCOPY
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EFFECTS OF SOIL MOISTURE CONTENT ON ABSORBANCE SPECTRA OF SANDY SOILS IN SENSING PHOSPHORUS CONCENTRATIONS USING UV-VIS-NIR SPECTROSCOPY

机译:UV-VIS-NIR光谱法测定土壤中水分含量对砂土吸收光谱的影响

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摘要

This study was conducted to investigate the effects of soil moisture content on the absorbance spectra of sandy soils with different phosphorus (P) concentrations using ultraviolet (UV), visible (VIS), and near-infrared (NIR) absorbance spectroscopy. Sieve sizes were 125, 250, and 600 µ m for fine, medium, and coarse, respectively. The medium size of the samples was used for the study. Investigations were conducted at 0, 12.5, 62.5, 175, 375, 750, and 1000 mg kg -1 P application rates. Three soil moisture contents (4%, 8%, and 12%) were investigated. P concentrations of the soil samples were analyzed and reflectance of the samples was measured between 225 and 2550 nm with a 1 nm interval. Dried soil samples reflected more light than wet soil in the 225-2550 nm range. As moisture content of the soils increased, reflectance from the soil sample decreased, which indicates that water is a strong light absorber in sandy soils. Dry soil spectra were reconstructed from the wet soil spectra by removing the moisture content effect and compared with the dry spectra of the same soil sample. Absorbance and reconstructed absorbance data were prepared as calibration and validation data sets in order to measure the performance of the spectral signal processing used for removing the moisture content effect on absorbance spectra. A partial least squares (PLS) analysis was applied to the data to predict P concentration before and after processing the spectra. The results showed that removing the moisture effect by spectral signal processing considerably improved prediction of P in soils
机译:进行了这项研究,以利用紫外线(UV),可见光(VIS)和近红外(NIR)吸收光谱法研究土壤水分含量对不同磷(P)浓度的沙质土壤吸收光谱的影响。细,中和粗筛的尺寸分别为125、250和600 µm。样本的中等大小用于研究。以0、12.5、62.5、175、375、750和1000 mg kg -1 P的施用量进行研究。研究了三种土壤水分含量(分别为4%,8%和12%)。分析土壤样品中的P浓度,并以1 nm的间隔在225至2550 nm之间测量样品的反射率。在225-2550 nm的范围内,干燥的土壤样品比潮湿的土壤反射的光更多。随着土壤水分含量的增加,土壤样品的反射率降低,这表明水是沙质土壤中的强光吸收剂。通过去除水分影响从湿土光谱中重建干土光谱,并将其与相同土壤样品的干光谱进行比较。准备吸光度和重建的吸光度数据作为校准和验证数据集,以测量用于消除水分含量对吸光度光谱的影响的光谱信号处理的性能。将偏最小二乘(PLS)分析应用于数据,以预测处理光谱之前和之后的P浓度。结果表明,通过光谱信号处理消除水分效应大大改善了土壤中磷的预测

著录项

  • 来源
    《Transactions of the ASABE》 |2006年第4期|p.00001175-00001180|共6页
  • 作者

    I. Bogrekci; W. S. Lee;

  • 作者单位

    Ismail Bogrekci, ASABE Member Engineer, Researcher, Department of Agricultural Machinery, Agriculture Faculty, University of Gaziosmanpasa, Tasliçiftlik, Tokat, Turkey;

    and Won Suk Lee, ASABE Member Engineer, Assistant Professor, Department of Agricultural and Biological Engineering, University of Florida, Gainesville, Florida. Corresponding author: I. Bogrekci, Department of Agricultural Machinery, Agriculture Faculty, University of Gaziosmanpasa, Tasliçiftlik, Tokat, Turkey;

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

    Absorbance; Moisture content; NIR; Phosphates; Phosphorus; PLS; Reflectance; Sensor; Spectroscopy; UV; VIS;

    机译:吸光度水分含量;近红外;磷酸盐;磷;PLS;反射率传感器;光谱学紫外线;可视化;

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