Effect of spiking strategy and ratio on calibration of on-line visible and near infrared soil sensor for measurement in European farms

Soil and Tillage Research

Volumn 128, Issue , 2013, Pages 125-136

  Kuang, Boyan ^a   Mouazen, Abdul Mounem ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

Accuracy; European farms; On line measurement; Soil properties; Spiking

Indexed keywords

ACCURACY; CALIBRATION MODEL; DIFFUSE REFLECTANCE; MEASUREMENT RANGE; NUMBER OF SAMPLES; ON-LINE MEASUREMENT; ON-LINE SENSOR; PARTIAL LEAST-SQUARES REGRESSION; PREDICTION ACCURACY; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; SAMPLING RESOLUTION; SOIL MEASUREMENT; SOIL ORGANIC CARBON; SOIL PROPERTY; SOIL SAMPLE; SOIL SENSORS; SPATIAL SIMILARITY; SPATIAL VARIATIONS; SPIKING; STANDARD DEVIATION; TOTAL NITROGEN; VISIBLE AND NEAR INFRARED;

CALIBRATION; FORECASTING; INFRARED DEVICES; MEAN SQUARE ERROR; REGRESSION ANALYSIS; SOIL TESTING; SOILS;

SOIL SURVEYS;

ACCURACY ASSESSMENT; CALIBRATION; ERROR ANALYSIS; MOISTURE CONTENT; SENSOR; SOIL ANALYSIS; SOIL NITROGEN; SOIL ORGANIC MATTER; SOIL PROPERTY; SPATIAL VARIATION; SPECTRAL ANALYSIS;

EUROPE;

EID: 84871942401     PISSN: 01671987     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.still.2012.11.006     Document Type: Article

References (29)

1. Bricklemyer R.S., Brown D.J. On-the-go VisNIR: potential and limitations for mapping soil clay and organic carbon. Computers and Electronics in Agriculture 2010, 70:209-216.
2. Christy C.D. Real-time measurement of soil attributes using on-the-go near infrared reflectance spectroscopy. Computers and Electronics in Agriculture 2008, 61:10-19.
3. Guerrero C., Zornoza R., Gómez I., Mataix-Beneyto J. Spiking of NIR regional models using samples from target sites: effect of model size on prediction accuracy. Geoderma 2010, 158:66-77.
4. Hummel J.W., Sudduth K.A., Hollinger S.E. Soil moisture and organic matter prediction of surface and subsurface soils using an NIR soil sensor. Computers and Electronics in Agriculture 2001, 32:149-165.
5. Janik L.J., Skjemstad J.O., Shepherd K.D., Spouncer L.R. The prediction of soil carbon fractions using mid-infrared-partial least squares analysis. Australian Journal of Soil Science 2007, 45:73-81.
6. Knadel M., Thomsen A., Greve M.H. Multisensor on-the-go mapping of soil organic carbon content. Soil Science Society of America Journal 2011, 75:1799-1806.
7. Kuang B., Mahmood H.S., Quraishi Z., Hoogmoed W.B., Mouazen A.M., van Henten E.J. Sensing soil properties in the laboratory, in situ and on-line - a review. Advances in Agronomy 2012, 114.
8. Kuang B., Mouazen A.M. Calibration of visible and near infrared spectroscopy for soil analysis at the field scale on three European farms. European Journal of Soil Science 2011, 62:629-636.
9. Martens H., Naes T. Multivariate Calibration 1989, John Wiley & Sons, Ltd., Chichester, United Kingdom. 2nd ed.
10. Martin P.D., Malley D.F., Manning G., Fuller L. Determination of soil organic carbon and nitrogen at the field level using near-infrared spectroscopy. Canadian Journal of Soil Science 2002, 82:413-422.
11. Minasny B., McBratney A.B., Pichon L., Sun W., Short M.G. Evaluating near infrared spectroscopy for field prediction of soil properties. Australian Journal of Soil Research 2009, 47:664-673.
12. Mouazen A.M., De Baerdemaeker J., Ramon H. Towards development of on-line soil moisture content sensor using a fibre-type NIR spectrophotometer. Soil and Tillage Research 2005, 80:171-183.
13. Mouazen, A.M., 2006. Soil Survey Device. International publication published under the patent cooperation treaty (PCT). World Intellectual Property Organization, International Bureau. International Publication Number: WO2006/015463; PCT/BE2005/000129; IPC: G01N21/00; G01N21/00.
14. Mouazen A.M., Maleki M.R., De Baerdemaeker J., Ramon H. On-line measurement of some selected soil properties using a VIS-NIR sensor. Soil and Tillage Research 2007, 93:13-27.
15. Mouazen A.M., Maleki M.R., Cockx L., Van Meirvenne M., Van Holm L.H.J., Merckx R., De Baerdemaeker J., Ramon H. Optimum three-point link set up for optimal quality of soil spectra collected during on-line measurement. Soil and Tillage Research 2009, 103:144-152.
16. Mouazen A.M., Kuang B., De Baerdemaeker J., Ramon H. Comparison between principal component, partial least squares and artificial neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy. Geoderma 2010, 158:23-31.
17. Munoz J.D., Kravchenko A. Soil Carbon mapping using on-the-go near infrared spectroscopy, topography and aerial photographs. Geoderma 2011, 166:102-110.
18. Sankey J.B., Brown D.J., Bernard M.L., Lawrence R.L. Comparing local vs. global visible and near-infrared (VisNIR) diffuse reflectance spectroscopy (DRS) calibrations for the prediction of soil clay, organic C and inorganic C. Geoderma 2008, 148:149-158.
19. Shibusawa S., Made Anom S.W., Sato H.P., Sasao A. Soil mapping using the real-time soil spectrometer. ECPA 2001, vol. 2:485-490. agro Montpellier, Montpellier, France.
20. Shepherd K.D., Walsh M.G. Development of reflectance spectral libraries for characterization of soil properties. Soil Science Society of America Journal 2002, 66:988-998.
21. Shonk J.L., Gaultney L.D., Schulze D.G., Scoyoc G.E.V. Spectroscopic sensing of soil organic matter content. Transactions of the ASAE 1991, 34:1978-1984.
22. Srinivasan A. Handbook of Pricision Agriculture: Principles and Applications 2006, The Haworth ress, Oxford, (Chapter 1).
23. Stenberg B., Viscarra Rossel R.A., Mouazen A.M., Wetterlind J. Visible and near infrared spectroscopy in soil science. Advances in Agronomy 2010, 107:163-215.
24. Viscarra Rossel R.A., McBratney A.B. Laboratory evaluation of a proximal sensing technique for simultaneous measurement of soil clay and water content. Geoderma 1998, 85:19-39.
25. Viscarra Rossel R.V., McGlyn R.N., McBratney A.B. Determining the composition of mineral-organic mixes using UV-vis-NIR diffuse reflectance spectroscopy. Geoderma 2006, 146:403-411.
26. Viscarra Rossel R.A., Jeon Y.S., Odeh I.O.A., McBratney A.B. Using a legacy soil Sample to develop a mid-IR spectral library. Australian Journal of Soil Research 2008, 46:1.
27. Viscarra Rossel R.A., Cattle S.R., Ortega Y., Fouad A. In situ measurements of soil colour, mineral composition and clay content by vis-NIR spectroscopy. Geoderma 2009, 150:253-266.
28. Waiser T.H., Morgan C.L.S., Brown D.J., Hallmark C.K. In situ characterization of soil clay content with visible near-infrared diffuse reflectance spectroscopy. Soil Science Society of America Journal 2007, 71:389-396.
29. Wetterlind J., Stenberg B. Near-infrared spectroscopy for within-field soil characterization: small local calibrations compared with national libraries spiked with local samples. European Journal of Soil Science 2010, 61:823-843.