Near-Infrared Spectroscopy Coupled with Chemometrics Tools: A Rapid and Non-Destructive Alternative on Soil Evaluation

References

• Abdi, D., B. J. Cade-Menun, N. Ziadi, G. F. Tremblay, and L.-É. Parent. 2016. Visible near infrared reflectance spectroscopy to predict soil phosphorus pools in chernozems of Saskatchewan, Canada. Geoderma Regional 7:93–101. doi:10.1016/j.geodrs.2016.02.004.
   Web of Science ®Google Scholar
• Almeida, G. A. V., L. M. da Silva, R. L. Marchão, P. G. S. Wadt, A. M. de Souza, and L. C. de Oliveira. 2016. Métodos Kjeldahl, elementar e o potencial da espectroscopia do infravermelho próximo para determinação de nitrogênio em solos da bacia do Acre. Biota Amazônia 6 (4):38–43. doi:10.18561/2179-5746/biotaamazonia.v6n4p38-43.
   Google Scholar
• Alvarez, V. H., R. F. Novais, L. E. Dias, and J. A. Oliveira. 2000. Determinação e uso do fósforo remanescente. Viçosa, MG: SBCS.
   Google Scholar
• Askari, M. S., S. M. O’Rourke, and N. M. Holden. 2015. Evaluation of soil quality for agricultural production using visible near-infrared spectroscopy. Geoderma 243–244:80–91. doi:10.1016/j.geoderma.2014.12.012.
   Web of Science ®Google Scholar
• Balabin, R. M., and S. V. Smirnov. 2011. Variable selection in near-infrared spectroscopy: Benchmarking of feature selection methods on biodiesel data. Analytica Chimica Acta 692:63–72. doi:10.1016/j.aca.2011.03.006.
   PubMed Web of Science ®Google Scholar
• Bellon-Maurel, V., E. Fernandez-Ahumada, B. Palagos, J.-M. Roger, and A. McBratney. 2010. Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy. Trends in Analytical Chemistry 29 (9):1073–81. doi:10.1016/j.trac.2010.05.006.
   Web of Science ®Google Scholar
• Beltrame, K. K., A. M. Souza, M. R. Coelho, T. C. B. Winkler, W. E. Souza, and P. Valderrama. 2016. Soil organic carbon determination using NIRS: Evaluation of dichromate oxidation and dry combustion analysis as reference methods in multivariate calibration. Journal of the Brazilian Chemical Society 27 (9):1527–32. doi:10.5935/0103-5053.20160031.
   Web of Science ®Google Scholar
• Blanco, M., and I. Villarroya. 2002. NIR spectroscopy: A rapid-response analytical tool. Trends in Analytical Chemistry 21 (4):240–50. doi:10.1016/S0165-9936(02)00404-1.
   Web of Science ®Google Scholar
• Büning-Pfaue, H. 2003. Analysis of water in food by near infrared spectroscopy. Food Chemistry 82:107–15. doi:10.1016/S0308-8146(02)00583-6.
   Web of Science ®Google Scholar
• Cabassi, G., D. Cavalli, R. Fuccella, and P. M. Gallina. 2015. Evaluation of four NIR spectrometers in the analysis of cattle slurry. Biosystems Engineering 133:1–13. doi:10.1016/j.biosystemseng.2015.02.011.
   Web of Science ®Google Scholar
• Chang, C., D. A. Laird, M. J. Mausbach, and C. R. Hurburgh Jr. 2001. Near-infrared reflectance spectroscopy–principal components regression analyses of soil properties. Soil Science Society of America Journal 65:480–90. doi:10.2136/sssaj2001.652480x.
   Web of Science ®Google Scholar
• Claessen, M. E. C., W. O. Barreto, J. L. Paula, and M. D. Duarte. 1997. Manual de métodos de análise de solo. 2nd ed. Rio de Janeiro: Embrapa.
   Google Scholar
• Cobo, J. G., G. Dercon, T. Yekeye, L. Chapungu, C. Kadzere, A. Murwira, R. Delve, and G. Cadisch. 2010. Integration of mid-infrared spectroscopy and geostatistics in the assessment of soil spatial variability at landscape level. Geoderma 158:398–411. doi:10.1016/j.geoderma.2010.06.013.
   Web of Science ®Google Scholar
• Conforti, M., G. Buttafuoco, A. P. Leone, P. P. C. Aucelli, G. Robustelli, and F. Scarciglia. 2013. Studying the relationship between water-induced soil erosion and soil organic matter using Vis–NIR spectroscopy and geomorphological analysis: A case study in southern Italy. Catena 110:44–58. doi:10.1016/j.catena.2013.06.013.
   Web of Science ®Google Scholar
• Demattê, J. A. M., L. Ramirez-Lopez, K. P. P. Marques, and A. A. Rodella. 2017. Chemometric soil analysis on the determination of specific bands for the detection of magnesium and potassium by spectroscopy. Geoderma 288:8–22. doi:10.1016/j.geoderma.2016.11.013.
   Web of Science ®Google Scholar
• Demattê, J. A. M., and F. S. Terra. 2014. Spectral pedology: A new perspective on evaluation of soils along pedogenetic alterations. Geoderma 217–218:190–200. doi:10.1016/j.geoderma.2013.11.012.
   Web of Science ®Google Scholar
• Felix, J. C., P. R. S. Vendrame, R. L. Marchão, J. F. de Oliveira, M. F. Guimarães, M. Brossard, T. Becquer, and O. R. Brito. 2016. Predição de fósforo, carbono e nitrogênio em solos de basalto, por meio de espectroscopia NIR. Pesquisa Agropecuária Brasileira 51 (9):1405–16. doi:10.1590/s0100-204x2016000900039.
   Web of Science ®Google Scholar
• Ferraresi, T. M., W. T. L. da Silva, L. Martin-Neto, P. M. da Silveira, and B. E. Madari. 2012. Espectroscopia de infravermelho na determinação da textura do solo. Revista Brasileira de Ciência do Solo 36:1769–77. doi:10.1590/S-100-06832012000600010.
   Google Scholar
• Franceschini, M. H. D., J. A. M. Demattê, M. V. Sato, L. E. Vicente, and C. R. Grego. 2013. Abordagens semiquantitativa e quantitativa na avaliação da textura do solo por espectroscopia de reflectância bidirecional no VIS‑NIR‑SWIR. Pesquisa Agropecuária Brasileira 48 (12):1569–82. doi:10.1590/S0100-204X2013001200006.
   Web of Science ®Google Scholar
• Gobrecht, A., R. Bendoula, J.-M. Roger, and V. Bellon-Maurel. 2016. A new optical method coupling light polarization and Vis–NIR spectroscopy to improve the measurement of soil carbon content. Soil & Tillage Research 155:461–70. doi:10.1016/j.still.2015.06.003.
   Web of Science ®Google Scholar
• Gomes, J. B. V., N. Curi, P. E. F. Motta, J. C. Ker, J. J. G. S. M. Marques, and D. G. Schulze. 2004. Análise de componentes principais de atributos físicos, químicos e mineralógicos de solos do bioma cerrado. Revista Brasileira de Ciência do Solo 28:137–53. doi:10.1590/S0100-06832004000100014.
   Web of Science ®Google Scholar
• Guerrero, C., R. Zornoza, I. Gómez, and J. Mataix-Beneyto. 2010. Spiking of NIR regional models using samples from target sites: Effect of model size on prediction accuracy. Geoderma 158:66–77. doi:10.1016/j.geoderma.2009.12.021.
   Web of Science ®Google Scholar
• Hosseini, M., S. R. Agereh, Y. Khaledian, H. J. Zoghalchali, E. C. Brevik, and S. A. R. M. Naeini. 2017. Comparison of multiple statistical techniques to predict soil phosphorus. Applied Soil Ecology 114:123–31. doi:10.1016/j.apsoil.2017.02.011.
   Web of Science ®Google Scholar
• Iñón, F. A., R. Llario, S. Garrigues, and M. de la Guardia. 2005. Development of a PLS based method for determination of the quality of beers by use of NIR: Spectral ranges and sample-introduction considerations. Analytical and Bioanalytical Chemistry 382:1549–61. doi:10.1007/s00216-005-3343-9.
   PubMed Web of Science ®Google Scholar
• Jia, S., X. Yang, J. Zhang, and G. Li. 2014. Quantitative analysis of soil nitrogen, organic carbon, available phosphorous, and available potassium using near-infrared spectroscopy combined with variable selection. Soil Science 179 (4):211–19. doi:10.1097/SS.0000000000000060.
   Web of Science ®Google Scholar
• Jiang, Q., Q. Li, X. Wang, Y. Wu, X. Yang, and F. Liu. 2017. Estimation of soil organic carbon and total nitrogen in different soil layers using VNIR spectroscopy: Effects of spiking on model applicability. Geoderma 293:54–63. doi:10.1016/j.geoderma.2017.01.030.
   Web of Science ®Google Scholar
• Klute, A. 1986. Part 1- physical and mineralogical methods. In Methods of soil analysis, 2nd. 1188 p., Madison: Soil Science Society of America.
   Google Scholar
• Kos, G., H. Lohninger, and R. Krska. 2003. Validation of chemometric models for the determination of deoxynivalenol on maize by mid-infrared spectroscopy. Mycotoxin Research 19:149–53. doi:10.1007/BF02942955.
   PubMedGoogle Scholar
• Lima, K. M. G., M. G. Trevisan, R. J. Poppi, and J. C. de Andrade. 2008. Determinação não destrutiva do nitrogênio total em plantas por espectroscopia de reflectância difusa no infravermelho próximo. Química Nova 31 (3):700–03. doi:10.1590/S0100-40422008000300039.
   Web of Science ®Google Scholar
• Liu, Y., B. T. Campbell, C. Delhom, and V. Martin. 2015. Variation and relationship of quality and near infrared spectral characteristics of cotton fibers collected from multi-location field performance trials. Textile Research Journal 85 (14):1474–85. doi:10.1177/0040517514566106.
   Web of Science ®Google Scholar
• Louw, E. D., and K. I. Theron. 2010. Robust prediction models for quality parameters in Japanese plums (Prunus salicina L.) using NIR spectroscopy. Postharvest Biology and Technology 58:176–84. doi:10.1016/j.postharvbio.2010.07.001.
   Web of Science ®Google Scholar
• Luce, St., M., N. Ziadi, B. J. Zebarth, C. A. Grant, G. F. Tremblay, and E. G. Gregorich. 2014. Rapid determination of soil organic matter quality indicators using visible near infrared reflectance spectroscopy. Geoderma 232–234:449–58. doi:10.1016/j.geoderma.2014.05.023.
   Web of Science ®Google Scholar
• Malley, D. F., P. D. Martin, and E. Ben-Dor. 2004. Application in analysis of soils. In Near-infrared spectroscopy in agriculture, ed. C. A. Roberts, J. Workman Jr., and J. B. Reeves III, 729–84. Madison, U.S.A: American Society of Agronomy.
   Google Scholar
• Mehlich, A. 1953. Determination of P, Ca, Mg, K, Na, and NH₄. North Carolina soil test division, 23–89. Raleigh: University of North Carolina.
   Google Scholar
• Miltz, J., and A. Don. 2012. Optimising sample preparation and near infrared spectra measurements of soil samples to calibrate organic carbon and total nitrogen content. Journal of near Infrared Spectroscopy 20:695–706. doi:10.1255/jnirs.1031.
   Web of Science ®Google Scholar
• Mourya, V., V. Kumar, A. Rani, M. Jain, and S. M. Husain. 2016. Near-Infrared reflectance spectroscopy for protein content soybean flour and screening of germplasm across different countries. Agricultural Research 5 (1):29–34. doi:10.1007/s40003-015-0196-0.
   Web of Science ®Google Scholar
• Muñiz, G. I. B., W. L. E. Magalhães, M. E. Carneiro, and L. C. Viana. 2012. Background and state of the art of near infrared spectroscopy in the forest sector base. Ciência Florestal 22 (4):865–75. doi:10.5902/198050987567.
   Web of Science ®Google Scholar
• Nawar, S., and A. M. Mouazen. 2018. Optimal sample selection for measurement of soil organic carbon using on-line vis-NIR spectroscopy. Computers and Eletronics in Agriculture 151:469–77. doi:10.1016/j.compag.2018.06.042.
   Web of Science ®Google Scholar
• Nocita, M., A. Stevens, C. Noon, and B. V. Wesemael. 2013. Prediction of soil organic carbon for different levels of soil moisture using Vis-NIR spectroscopy. Geoderma 199:37–42. doi:10.1016/j.geoderma.2012.07.020.
   Web of Science ®Google Scholar
• Oliveira, G. A., S. Bureau, C. M.-G. C. Renard, A. B. Pereira-Netto, and F. Castilhos. 2014. Comparison of NIRS approach for prediction of internal quality traits in three fruit species. Food Chemistry 143:223–30. doi:10.1016/j.foodchem.2013.07.122.
   PubMed Web of Science ®Google Scholar
• Oliveira, J. F., M. Brossard, P. R. S. Vendrame, S. Mayi III, E. J. Corazza, R. L. Marchão, and M. F. Guimarães. 2013. Soil discrimination using diffuse reflectance Vis-NIR spectroscopy in a local toposequence. Comptes Rendus Geoscience 345:446–53. doi:10.1016/j.crte.2013.12.001.
   Web of Science ®Google Scholar
• Ramaroson, V. H., T. Becquer, S. O. Sá, H. Razafimahatratra, J. L. Delarivière, D. Blavet, P. R. S. Vendrame, L. Rabeharisoa, and A. F. M. Rakotondrazafy. 2018. Mineralogical analysis of ferralitic soils in Madagascar using NIR spectroscopy. Catena 168:102–09. doi:10.1016/j.catena.2017.07.016.
   Web of Science ®Google Scholar
• Rathod, P. H., I. Müller, F. D. Van der Meer, and B. de Smeth. 2016. Analysis of visible and near infrared spectral reflectance for assessing metals in soil. Environmental Monitoring and Assessment 188:558. doi:10.1007/s10661-016-5568-9.
   Web of Science ®Google Scholar
• Rossel, R. A. V., Y. S. Jeon, I. O. A. Odeh, and A. B. McBratney. 2008. Using a legacy soil sample to develop a mid-IR spectral library. Australian Journal of Soil Research 46:1–16. doi:10.1071/SR07099.
   Web of Science ®Google Scholar
• Saeys, W., A. M. Mouazen, and H. Ramon. 2005. Potential for onsite and online analysis of pig manureusing visible and near infrared reflectance spectroscopy. Biosystems Engineering 91 (4):393–402. doi:10.1016/j.biosystemseng.2005.05.001.
   Web of Science ®Google Scholar
• Santana, F. B., A. M. Souza, and R. J. Poppi. 2018. Visible and near infrared spectroscopy coupled to random forest to quantify some soil quality parameters. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 191:454–62. doi:10.1016/j.saa.2017.10.052.
   PubMed Web of Science ®Google Scholar
• Santos, G. A., A. B. Pereira, and G. A. Korndörfer. 2010. Use of analysis system by near infrared (NIR) for the analysis of organic matter and clay fraction in soils and leaf levels of silicon and nitrogen in sugar cane. Bioscience Journal 26 (1):100–08.
   Web of Science ®Google Scholar
• Santos, G. A., A. P. Santos, and G. A. Korndörfer. 2012. System by near infrared (NIR) for analysis of nitrogen foliar. Bioscience Journal 28 (1):83–90.
   Web of Science ®Google Scholar
• Sithole, N. J., K. Ncama, and L. S. Magwaza. 2018. Robust Vis-NIRS models for rapid assessment of soil organic carbon and nitrogen in Feralsols Haplic soils from different tillage management practices. Computers and Electronics in Agriculture 153:295–301. doi:10.1016/j.compag.2018.08.036.
   Web of Science ®Google Scholar
• Soriano-Disla, J. M., L. J. Janik, R. A. Viscarra Rossel, L. M. MacDonald, and M. J. McLaughlin. 2014. The performance of visible, near-, and mid-infrared reflectance spectroscopy for prediction of soil physical, chemical, and biological properties. Applied Spectroscopy Reviews 49:139–86. doi:10.1080/05704928.2013.811081.
   Web of Science ®Google Scholar
• Stenberg, B., R. A. Viscarra Rossel, A. M. Mouazen, and J. Wetterlind. 2010. Visible and near infrared spectroscopy in soil science. Advances in Agronomy 107:163–215. doi:10.1016/S0065-2113(10)07005-7.
   Web of Science ®Google Scholar
• Su, Y., X. Tang, X. Dong, and Y. Peng. 2017. Non-destructive quick detection based on Vis-NIR spectra for content of soil available nitrogen. American Society of Agricultural and Biological Engineers (ASABE) 1–6. doi:10.13031/aim.201701389.
   Google Scholar
• Terhoeven-Urselmansa, T., H. Schmidt, R. G. Joergensenc, and B. Ludwiga. 2008. Usefulness of near-infrared spectroscopy to determine biological and chemical soil properties: Importance of sample pre-treatment. Soil Biology & Biochemistry 40:1178–88. doi:10.1016/j.soilbio.2007.12.011.
   Web of Science ®Google Scholar
• Terra, F. S., J. A. M. Demattê, and R. A. V. Rossel. 2015. Spectral libraries for quantitative analyses of tropical Brazilian soils: Comparing vis–NIR and mid-IR reflectance data. Geoderma 255–256:81–93. doi:10.1016/j.geoderma.2015.04.017.
   Web of Science ®Google Scholar
• Vendrame, P. R. S., R. L. Marchão, D. Brunet, and T. Becquer. 2012. The potential of NIR spectroscopy to predict soil texture and mineralogy in Cerrado Latosols. European Journal of Soil Science 63 (5):743–53. doi:10.1111/j.1365-2389.2012.01483.x.
   Web of Science ®Google Scholar
• Walkley, A., and I. A. Black. 1934. An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil Science 37 (1):29–38. doi:10.1097/00010694-193401000-00003.
   Google Scholar
• Wang, J., T. He, C. Lv, Y. Chen, and W. Jian. 2010. Mapping soil organic matter based on land degradation spectral response units using Hyperion images. International Journal of Applied Earth Observation and Geoinformation 12:S171–S180. doi:10.1016/j.jag.2010.01.002.
   Web of Science ®Google Scholar
• Wang, J., T. Tiyip, J. Ding, D. Zhang, W. Liu, and F. Wang. 2017. Quantitative estimation of organic matter content in arid soil using vis-nir spectroscopy preprocessed by fractional derivative. Journal of Spectroscopy 1–9. doi:10.1155/2017/1375158.
   Web of Science ®Google Scholar
• Wang, Y., T. Huang, J. Liu, Z. Lin, S. Li, R. Wang, and Y. Ge. 2015. Soil pH value, organic matter and macronutrients contents prediction using optical diffuse reflectance spectroscopy. Computers and Electronics in Agriculture 111:69–77. doi:10.1016/j.compag.2014.11.019.
   Web of Science ®Google Scholar
• Wight, J. P., A. J. Ashworth, and F. L. Allen. 2016. Organic substrate, clay type, texture, and water influence on NIR carbon measurements. Geoderma 261:36–43. doi:10.1016/j.geoderma.2015.06.021.
   Web of Science ®Google Scholar
• Yu, H. Y., X. Y. Niu, H. J. Lin, Y. B. Ying, B. B. Li, and X. X. Pan. 2009. A feasibility study on on-line determination of rice wine composition by Vis–NIR spectroscopy and least-squares support vector machines. Food Chemistry 113:291–96. doi:10.1016/j.foodchem.2008.06.083.
   Web of Science ®Google Scholar
• Zhang, G., P. Li, W. Zhang, and J. Zhao. 2017. Analysis of multiple soybean phytonutrients by near-infrared reflectance spectroscopy. Analytical and Bioanalytical Chemistry 409:3515–25. doi:10.1007/s00216-017-0288-8.
   PubMed Web of Science ®Google Scholar
• Zornoza, R., C. Guerrero, J. Mataix-Solera, K. M. Scow, V. Arcenegui, and J. Mataix-Beneyto. 2008. Near infrared spectroscopy for determination of various physical, chemical and biochemical properties in Mediterranean soils. Soil Biology & Biochemistry 40:1923–30. doi:10.1016/j.soilbio.2008.04.003.
   PubMed Web of Science ®Google Scholar