Development of Hungarian spectral library: Prediction of soil properties and applications

Authors : Mohammed Ahmed MOHAMMEDZEİN, Adam CSORBA, Brian ROTİCH, Phenson Nsima JUSTİN, Caleb MELENYA, Yuri ANDREİ, Erika MİCHELİ

Pages : 244-256

Doi:10.18393/ejss.1275149

View : 88 | Download : 33

Publication Date : 2023-07-02

Article Type : Research Paper

Abstract :Updating soil information systems insert ignore into journalissuearticles values(SIS); requires advanced technologies to support the time and cost-effective and environment-friendly soil data. The use of mid- infrared insert ignore into journalissuearticles values(MIR); Spectroscopy as alternative to wet chemistry has been tested. The MIR spectral library is a useful technique for predicting soil attributes with high accuracy, efficiency, and low cost. The Hungarian MIR spectral library contained data on 2200 soil samples from 10 counties representing the first Soil Information and Mentoring System insert ignore into journalissuearticles values(SIMS); survey. Archived soil samples were prepared and scanned based on Diffuse Reflectance Infrared spectroscopy insert ignore into journalissuearticles values(DRIFT); technique and spectra data were saved in the fourier transform infrared insert ignore into journalissuearticles values(FTIR); spectrometer OPUS software. Preprocessed filtering methods, outlier detection methods and calibration sample selection methods were applied for spectral library. MIR calibration models were built for soil attributes using Partial Least Square Regression insert ignore into journalissuearticles values(PLSR); method. Coefficient determination insert ignore into journalissuearticles values(R2);, The Root Mean Squared Error insert ignore into journalissuearticles values(RMSE); and Ratio of Performance to Deviation insert ignore into journalissuearticles values(RPD); were used to assess the goodness of calibration and validation models. MIR spectral library had the ability to significantly estimate soil properties such as SOC, CaCO3, sand, clay and silt through various scale models insert ignore into journalissuearticles values(national, county and soil type);. The findings showed that our spectral library soil estimations are precise enough to provide information on national, county and soil type levels enabling a wide range of soil applications that demand huge amounts of data such as soil survey, precision agriculture and digital soil mapping.
Keywords : Fourier transform infrared spectroscopy, mid infrared spectroscopy, partial least square regression, soil information system

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