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基于中红外光谱的植烟土壤的光谱特征解析与分类

杨兴 吕高强 杜昌文 包锐倩 蒋碧霞 贺艳杰 岳蕊 周圣傑 周文瑾 彭建国 桂艺萌

安徽农学通报2026,Vol.32Issue(16):51-55,5.
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安徽农学通报2026,Vol.32Issue(16):51-55,5.DOI:10.16377/j.cnki.issn1007-7731.2026.16.014

基于中红外光谱的植烟土壤的光谱特征解析与分类

Spectral characteristic analysis and classification of tobacco-planting soil based on mid-infrared spectroscopy

杨兴 1吕高强 2杜昌文 3包锐倩 1蒋碧霞 1贺艳杰 1岳蕊 1周圣傑 1周文瑾 1彭建国 1桂艺萌1

作者信息

  • 1. 云南省烟草公司昆明市公司石林分公司,云南 昆明 652200
  • 2. 江苏大学农业工程学院,江苏 镇江 212013||云南省作物生产与智慧农业重点实验室,云南 昆明 652200
  • 3. 中国科学院南京土壤研究所,江苏 南京 210000
  • 折叠

摘要

Abstract

To investigate the spectral characteristics of tobacco-planting soils in Shilin Yi Autonomous County,Yunnan Province,and their application in soil classification,this study collected 409 topsoil samples from 7 regions within the study area.Mid-infrared(700-4 000 cm-1)attenuated total reflection spectra were measured,and analytical methods including principal component analysis(PCA),hierarchical clustering,and probabilistic neural network(PNN)were employed to explore soil heterogeneity at the county scale.The results showed that the soil spectra exhibited characteristic kaolinite doublets at 3 693 and 3 619 cm-1,while a broad peak at 3 440 cm-1 indicated contributions from organic matter hydroxyl groups.Both PCA and hierarchical clustering confirmed the spatial heterogeneity of soil spectra among the 7 regions,though high similarity in some areas made spectral differentiation challenging.Based on these findings,the 7 regions were consolidated into 4 a priori categories,and a four-class PNN classification model was constructed,achieving an overall recognition accuracy of 88.5%.Collectively,the results demonstrated that mid-infrared spectroscopy can effectively identify spatial heterogeneity characteristics of tobacco-planting soils in the study area and achieve classification with high accuracy,providing a reference for precision management in tobacco production.

关键词

植烟土壤/中红外光谱/光谱特征/分类模型

Key words

tobacco-planting soil/mid-infrared spectroscopy/spectral characteristics/classification model

分类

农业科技

引用本文复制引用

杨兴,吕高强,杜昌文,包锐倩,蒋碧霞,贺艳杰,岳蕊,周圣傑,周文瑾,彭建国,桂艺萌..基于中红外光谱的植烟土壤的光谱特征解析与分类[J].安徽农学通报,2026,32(16):51-55,5.

基金项目

云南省烟草公司昆明市公司办公室科技计划项目"昆明石林县土壤光谱信息系统的构建与应用"(KMYC202403) (KMYC202403)

云南省作物生产与智慧农业重点实验室开放课题(2024ZHNY03). (2024ZHNY03)

安徽农学通报

1007-7731

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