Effect of soil moisture and particle size on soil total phosphorus estimation by near-infrared spectroscopy

• Autorzy: Zhang L. , Zhang R.
• Języki publikacji: EN

Abstrakty

EN

Near-infrared spectroscopy (NIRS) can detect soil total phosphorus in agricultural environments. Considering the soil moisture and particle size on total phosphorus prediction, we applied NIRS to the detection of soil samples with different soil moistures and particle sizes. Thus the effect of soil moisture and particle size was analyzed quantitatively and qualitatively. The procedures to remove the effect of soil moisture and particle size on total phosphorus prediction were also described. First, the near-infrared reflectance spectra of soil samples with different soil moistures and particle sizes were obtained and the absorbance values were determined. Next, the original spectra were corrected by using moisture absorbance index (MAI) and hybrid correction to counteract the effects of soil moisture and particle size, respectively. Absorbance of soil samples showed high correlation with soil moisture at wavelengths of 1,450 nm and 1,940 nm. MAI is a tool for normalizing the original spectral data so as to correct for soil moisture. Hybrid correction is based on the superposition of NIR spectra, and a particle size different from that of the original soil samples is generated. This is an effective means of correcting for the effect of soil particle size. Finally, using the corrected absorbance values at eight wavelengths (655, 722, 1,055, 1,255, 1,467, 1,678, 1,890, and 2,246 nm), the soil total phosphorus prediction model was built based on LS-SVM. Compared with the model used for original spectral data, the new model exhibited higher accuracy and stability. Results showed that MAI and hybrid correction are effective for correcting for soil moisture and soil particle size during the prediction of soil total phosphorus.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2017
• Tom: 26
• Numer: 1
• Opis fizyczny: p.395-401,fig.,ref.

Twórcy

autor

Zhang L.

• School of Electrical and Control Engineering, Henan University of Urban Construction, Pingdingshan, 467044, China
• School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China

autor

Zhang R.

• School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China

Bibliografia

• 1. FIDÊNCIO P.H., POPPI R.J., DE ANDRADE J.C. Determination of organic matter in soils using radial basis function networks and near infrared spectroscopy.Anal. Chim.Acta. 453, 125, 2002.
• 2. BOGREKCI I., LEE W.S. Spectral soil signatures and sensing phosphorus. Biosyst. Eng. 92, 527,2005a.
• 3. VISCARRA ROSSEL R.A.V., WALVOORT D.J.J., MCBRATNEY A.B., JANIK L.J., SKJEMSTAD J.O. Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties. Geoderma. 131, 59, 2006.
• 4. GOMEZ C., VISCARRA ROSSEL R.A., MCBRATNEY A.B. Soil organic carbon prediction by hyperspectral remote sensing and field vis – NIR spectroscopy: an Australian case study. Geoderma. 146, 403, 2008.
• 5. REEVES III J.B., SMITH D.B. The potential of mid- and near-infrared diffuse reflectance spectroscopy for determining major- and trace-element concentrations in soils from a geochemical survey of North America. Appl. Geochem. 24, 1472, 2009.
• 6. PAN L., WANG J., LI P., SUN Q., ZHANG Y., HAN D. Region optimization of SSC model for Pyrus Pyrifolia by Genetic Algorithm. Spectrosc. Spect. Anal. 29, 1246, 2009.
• 7. REEVES III J.B. Near- versus mid-infrared diffuse reflectance spectroscopy for soil analysis emphasizing carbon and laboratory versus on-site analysis: where are we and what needs to be done? Geoderma. 158, 3, 2010.
• 8. STENBERG B. Effects of soil sample pretreatments and standardized rewetting as interacted with sand classes on Vis-NIR predictions of clay and soil organic carbon. Geoderma. 158, 15, 2010.
• 9. YU Y. Quantitative determination of parameters of substrate using NearInfrared Spectroscopy Technique. Spectrosc. Spect.Anal. 31, 2928, 2011.
• 10. AN X.F., LI M.Z., ZHENG L.H., LIU Y.M., SUN H. A portable soil nitrogen detector based on NIRS. Precision Agric. 15, 3, 2014.
• 11. RÁCZ A., HÉBERGER K., FODOR M. Quantitative determination and classification of energy drinks using near-infrared spectroscopy. Analytical and Bioanalytical Chemistry. 8, 1, 2016.
• 12. VINEELA CHALLAGULLA V., WALSH K.B., SUBEDI P. Microalgal fatty acid composition: rapid assessment using near-infrared spectroscopy. Journal of Applied Phycology. 28, 85, 2016.
• 13. PANKRATOVA K.G., SHCHELOKOV V.I., STUPAKOVA G.A., SYCHEV V.G. Study of the Suitability of NIR Spectroscopy for Monitoring the Contamination of Soils with Oil Products. Novel Methods for Monitoring and Managing Land and Water Resources in Siberia. 13, 327, 2016.
• 14. HE Y., HUANG M., GARCIA A., HERNANDEZ A., SONG H. Prediction of soil macronutrients content using near-infrared spectroscopy. Comput. Electron. Agric. 58, 144, 2007.
• 15. MORÓN A., COZZOLINO D. Measurement of phosphorus in soils by near infrared reflectance spectroscopy: Effect of reference method on calibration. Commun. Soil Sci. Plant Anal. 38, 1965, 2007.
• 16. MOUAZEN A.M., KUANG B., DE BAERDEMAEKER J., RAMON H. Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy. Geoderma.158, 23, 2010.
• 17. MESSIGA A.J., ZIADI N., MOREL C., PARENT L.É. Soil phosphorus availability in no-till versus conventional tillage following freezing and thawing cycles. Can. J. Soil Sci. 90, 419, 2010.
• 18. DALEL ABDI, GAËTAN F. TREMBLAY, NOURA ZIADI, GILLES BÉLANGER, LÉON-ÉTIENNE PARENT. Predicting Soil Phosphorus-Related Properties Using NearInfrared Reflectance Spectroscopy. Soil Sci. Soc. Am. J. 76, 2318, 2012.
• 19. MINASNY B., MCBRATNEY A.B., BELLON-MAUREL V., ROGER J., GOBRECHT A., FERRAND L., JOALLAND S. Removing the effect of soil moisture from NIR diffuse reflectance spectra for the prediction of soil organic carbon. Geoderma. 167, 118, 2011.
• 20. BOGREKCI I., LEE W.S. Improving phosphorus sensing by eliminating soil particle size effect in spectral measurement. Trans. ASABE. 48, 1971, 2005b.
• 21. BOGREKCI I., LEE W.S. Effects of soil moisture content on absorbance spectra of sandy soils in sensing phosphorus concentrations using UV–VIS–NIR spectroscopy. Trans. ASABE. 49, 1175, 2006.
• 22. JAMES B., REEVES III J.B. Near-versus mid-infrared diffuse reflectance spectroscopy for soil analysis emphasizing carbon and laboratory versus onsite analysis: where are we and what needs to be done? Geoderma. 158, 3, 2010.
• 23. KAROUI R., MOUAZEN A.M., DUFOUR E., PILLONEL L., SCHALLER E., DE BAERDEMAEKER J., BOSSET J. Chemical characterisation of European Emmental cheeses by near infrared spectroscopy using chemometric tools. Int. Dairy J. 16, 1211, 2006.

Identyfikatory

DOI

10.15244/pjoes/64930