Measurement and analysis of soil nitrogen and organic matter content using near-infrared spectroscopy techniques

被引:23
|
作者
He Y. [1 ]
Song H.-Y. [1 ]
Pereira A.G. [1 ,2 ]
Gómez A.H. [1 ,2 ]
机构
[1] School of Biosystems Engineering and Food Science, Zhejiang University
[2] Agricultural Mechanization Faculty, Havana Agricultural University, Havana
来源
关键词
NIR spectroscopy; Nitrogen; Organic matter; Partial least square; Precision farming; Soil spatial variability;
D O I
10.1631/jzus.2005.B1081
中图分类号
学科分类号
摘要
Near infrared reflectance (NIR) spectroscopy is as a rapid, convenient and simple nondestructive technique useful for quantifying several soil properties. This method was used to estimate nitrogen (N) and organic matter (OM) content in a soil of Zhejiang Province, Hangzhou County. A total of 125 soil samples were taken from the field. Ninety-five samples spectra were used during the calibration and cross validation stage. Thirty samples spectra were used to predict N and OM concentration. NIR spectra of these samples were correlated using partial least square regression. The regression coefficients between measured and predicted values of N and OM was 0.92 and 0.93, and SEP (standard error of prediction) were 3.28 and 0.06, respectively, which showed that NIR method had potential to accurately predict these constituents in this soil. The results showed that NIR spectroscopy could be a good tool for precision farming application.
引用
收藏
页码:1081 / 1086
页数:5
相关论文
共 50 条
  • [31] Estimation of soil organic carbon content using visible and near-infrared spectroscopy in the Red River Delta, Vietnam
    Hau, Nguyen-Xuan
    Tuan, Nguyen-Thanh
    Trung, Lai-Quang
    Chi, Tran-Thuy
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2024, 255
  • [32] Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy
    Hong, Yongsheng
    Liu, Yaolin
    Chen, Yiyun
    Liu, Yanfang
    Yu, Lei
    Liu, Yi
    Cheng, Hang
    GEODERMA, 2019, 337 : 758 - 769
  • [33] Analysis of nitrogen fractions in silage by near-infrared spectroscopy
    Hermida, M
    Lois, A
    Rodriguez-Otero, JL
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2005, 53 (05) : 1374 - 1378
  • [34] Improving the estimation accuracy of soil organic matter based on the fusion of near-infrared and Raman spectroscopy using the outer-product analysis
    Bai, Yu
    Yang, Wei
    Wang, Zhaoyang
    Cao, Yongyan
    Li, Minzan
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 219
  • [35] In Situ Measurement of Some Soil Properties in Paddy Soil Using Visible and Near-Infrared Spectroscopy
    Ji Wenjun
    Shi Zhou
    Huang Jingyi
    Li Shuo
    PLOS ONE, 2014, 9 (08):
  • [36] Modeling and Prediction of Soil Organic Matter Content Based on Visible-Near-Infrared Spectroscopy
    Li, Chunxu
    Zhao, Jinghan
    Li, Yaoxiang
    Meng, Yongbin
    Zhang, Zheyu
    FORESTS, 2021, 12 (12):
  • [37] Quantitative Analysis of Soil Nitrogen, Organic Carbon, Available Phosphorous, and Available Potassium Using Near-Infrared Spectroscopy Combined With Variable Selection
    Jia, Shengyao
    Yang, Xianglong
    Zhang, Jianming
    Li, Guang
    SOIL SCIENCE, 2014, 179 (04) : 211 - 219
  • [38] Classification of Histamine Content in Fish Using Near-Infrared Spectroscopy and Machine Learning Techniques
    Ninh, Duy Khanh
    Phan, Kha Duy
    Vo, Cong Tuan
    Dang, Minh Nhat
    Thanh, Nhan Le
    INFORMATION, 2024, 15 (09)
  • [39] Analysis of initiator content of prepreg by near-infrared spectroscopy
    Liu, Qianfa
    Li, Dan
    Guan, Chiji
    REVIEWS IN ANALYTICAL CHEMISTRY, 2022, 41 (01) : 74 - 82
  • [40] Use of near-infrared reflectance spectroscopy in soil analysis
    Genot, Valerie
    Bock, Laurent
    Dardenne, Pierre
    Colinet, Gilles
    BIOTECHNOLOGIE AGRONOMIE SOCIETE ET ENVIRONNEMENT, 2014, 18 (02): : 247 - 261