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Updated: Jan 18, 2026

Improving Infrared Spectroscopy Characterization of Soil Organic Matter with Spectral Subtractions
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基于误差共变率和相关性矩阵的近红外光谱对土壤建模错误结构的评估:关于土壤水分含量预测的案例研究

Keke Liao1, Zhongyuan Chen2, Jiamin Li2

  • 1College of Engineering in Jiangxi Agricultural University, Jiangxi Province, Nanchang, China 330045; College of Engineering in Jiangxi Agricultural University, Jiangxi Provincial Key Laboratory of Modern Agricultural Equipment, Jiangxi Province, Nanchang, China 330045.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|September 11, 2025
PubMed
概括

本研究引入了一个以错误结构为导向的框架,用于使用近红外光谱学 (NIRS) 预测土壤水分含量 (SMC). 它通过系统地分析和减轻光谱数据错误来提高准确性,以获得更好的农业应用.

关键词:
错误共变矩阵的错误共变矩阵.近红外光谱学近红外光谱学精准农业 精准农业 精准农业预处理 预处理土壤水分含量 土壤水分含量

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