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Near-infrared reflectance spectroscopic measurement of soil properties.

机译:土壤特性的近红外反射光谱测量。

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摘要

Soil testing is an important task for precision farming and soil quality assessment. However, the standard procedures for soil testing are usually very complex, expensive, and time-consuming. Near-infrared reflectance spectroscopy (NIRS) is a rapid and convenient analytical technique. The main objective of this project was to study the potential of NIRS for analyses of soil analyses. In the study of soil mixtures containing diverse sources of C and N, the results indicated that NIRS can be used to quantify soil C (organic C and inorganic C) and total N, C:N ratios simultaneously. In the study of moist and air-dried soil samples from agricultural fields in Iowa and Minnesota, the results indicated that NIRS predictions of tested soil properties were more accurate for air-dried soils than moist soils; however, the differences were minimal. The overall ability of NIRS to predict soil properties was based on the analyses of 33 properties for over 800 soil samples collected from four Major Land Resources Areas (9, 67, 77, and 105). The results indicated that NIRS can be used to simultaneously estimate soil C and N, moisture, CEC, basal respiration rate, potentially mineralizable N, particle size distribution, and some extractable and exchangeable cations with acceptable accuracy. Based on these studies NIRS has the potential to be used as a fast and nondestructive soil testing technique for both moist and air-dried soils.
机译:土壤测试是精确耕作和土壤质量评估的重要任务。但是,用于土壤测试的标准程序通常非常复杂,昂贵且耗时。近红外反射光谱法(NIRS)是一种快速便捷的分析技术。该项目的主要目的是研究NIRS在土壤分析中的潜力。在含有多种碳和氮源的土壤混合物的研究中,结果表明NIRS可用于同时定量土壤C(有机C和无机C)和总N,C:N比率。在爱荷华州和明尼苏达州农田的潮湿和风干土壤样品的研究中,结果表明,对于风干土壤,NIRS对被测土壤性质的预测比潮湿土壤更准确;但是,差异很小。 NIRS预测土壤性质的整体能力是基于对从四个主要土地资源区域(9、67、77和105)收集的800多个土壤样本的33个性质的分析得出的。结果表明,NIRS可用于同时估算土壤中的碳和氮,水分,CEC,基础呼吸速率,潜在可矿化的氮,粒度分布以及一些可萃取和可交换的阳离子,其准确度可以接受。基于这些研究,NIRS可能被用作对潮湿和风干土壤进行快速且无损的土壤测试技术。

著录项

  • 作者

    Chang, Cheng-Wen.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Agriculture Agronomy.; Agriculture Soil Science.; Remote Sensing.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 114 p.
  • 总页数 114
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农学(农艺学);土壤学;遥感技术;
  • 关键词

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