南疆枣园盐渍土电导率的近红外高光谱分析
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O433.1;S151.9+3

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国家自然科学基金项目(62061041、31960503);国家自然科学基金青年科学基金项目(32101621);农业农村部作物需水与调控重点实验室项目(FIRI2018-05-03)


Analysis of Near Infrared Spectra of Southern Xinjiang Jujube Orchard Conductivity of Saline Soil
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    摘要:

    土壤电导率的高低反映土壤中盐分含量的多少。以南疆一枣园盐渍土为研究对象,运用Zolix GaiaSorter近红外成像高光谱仪采集900~1 700 nm范围内142个土壤样品的光谱数据,进行6种光谱预处理,分别运用SPA (连续投影算法)和CARS(竞争性自适应重加权法)提取的特征波段建立PLS模型,与全波段的模型进行对比分析。结果显示,CARS-PLS的模型优于SPA-PLS和W-PLS,MSC处理后的CARS-PLS模型效果最好。因此利用高光谱技术结合CARS-PLS可实现南疆枣园盐渍土的电导率快速准确检测。

    Abstract:

    The level of soil conductivity reflects the amount of salt in the soil. In this study, the saline soil of a jujube garden in southern Xinjiang was taken as the research object. The spectral data of 142 soil samples were collected using Zolix GaiaSorter near infrared imaging high spectrometer at the band of 900-1,700 nm. At first six spectral pretreatments were performed, and then SPA and CARS were used for feature band extraction,and model effects of SPA-PLS, CARS-PLS, and full-wavelength PLS soil conductivity at different wavebands were comparatively analysed. The results showed that CARS-PLS model was superior to SPA-PLS and W-PLS, and the MSC-treated CARS-PLS model had the best effect. Therefore, the use of hyperspectral technology combined with CARS-PLS can achieve rapid and accurate conductivity measurement of soil saline soil in Southern Xinjiang jujube garden.

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张楠楠,张晓.南疆枣园盐渍土电导率的近红外高光谱分析[J].东北农业科学,2022,47(4):118-121,154.

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  • 在线发布日期: 2024-11-09
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