A prototype sensor for the assessment of soil bulk density

Soil and Tillage Research

Volumn 134, Issue , 2013, Pages 97-110

  Quraishi, Mohammed Z ^a   Mouazen, Abdul M ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

Artificial neural network; Bulk density; In situ measurement; Penetrometer; Vis NIR spectroscopy

Indexed keywords

BULK DENSITY; COEFFICIENT OF DETERMINATION; IN-SITU MEASUREMENT; PENETRATION RESISTANCES; PENETROMETER; ROOT MEAN SQUARE ERRORS; VIS-NIR SPECTROSCOPY; VISIBLE AND NEAR INFRARED;

FORECASTING; MEAN SQUARE ERROR; METEOROLOGICAL INSTRUMENTS; NEAR INFRARED SPECTROSCOPY; NEURAL NETWORKS; SENSORS; SOIL MOISTURE; SPECTROPHOTOMETERS;

INFRARED DEVICES;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; BULK DENSITY; CALIBRATION; IN SITU MEASUREMENT; NUMERICAL MODEL; PENETROMETER; SENSOR; SOIL MOISTURE; SOIL ORGANIC MATTER; SPECTROSCOPY; TOPSOIL;

CZECH REPUBLIC; DENMARK; NETHERLANDS; UNITED KINGDOM;

EID: 84883226661     PISSN: 01671987     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.still.2013.07.011     Document Type: Article

References (34)

1. Aldhumayri M.H. Optimizing Position of Moisture Sensors by Mapping of Clay, Moisture Content and Organic Carbon Content. MSc by Research Thesis 2012, Cranfield University, UK.
2. Alhwaimel S.A. Fusion of Multi Soil Data for the Delineation of Management Zones for Variable Rate Irrigation. MSc by Research Thesis 2013, Cranfield University, UK.
3. Ben-Dor E., Heller D., Chudnovsky A. A novel method of classifying soil profiles in the field using optical means. Soil Science Society of America Journal 2008, 72:1113-1123.
4. Bricklemyer R.S., Brown D.J. On-the-go VisNIR: potential and limitations for mapping soil clay and organic carbon. Computer and Electronics in Agriculture 2010, 70:209-216.
5. Soil Improvers and Growing Media: BS EN 13041:2011. Determination of Physical Properties. Dry Bulk Density, Air Volume, Water Volume, Shrinkage Value and Total Pore Space 2011, British Standards, British Standards Institution, UK.
6. Soil Improvers and Growing Media: BS EN 13040:2007. Sample Preparation for Chemical and Physical Tests, Determination of Dry Matter Content, Moisture Content and Laboratory Compacted Bulk Density 2007, British Standards, British Standards Institution, UK.
7. British Standards Soil Improvers and Growing Media: BS EN 13039:2000. Determination of Organic Matter Content and Ash 2000, British Standards Institution, UK.
8. British Standards Soil Quality: BS 7755: Section 5.4: 1998. Part 5: Physical Methods. Section 5.4: Determination of Particle Size Distribution in Mineral Soil Material - Method by Sieving and Sedimentation 1998, British Standards Institution, UK.
9. Eijkelkamp P1.52-1 Penetrologger 2009.
10. Ekwue E.I., Stone R.J. Organic matter effects on the strength properties of compacted agricultural soils. Transactions - American Society of Agricultural Engineers 1995, 38:357-365.
11. Franzen H., Lal R., Ehlers W. Tillage and mulching effects on physical properties of a tropical Alfisol. Soil & Tillage Research 1994, 28:329-346.
12. González O.M., Kuang B., Quraishi M.Z., García M.Á.M., Mouazen A.M. On-line measurement of soil properties without direct spectral response in near infrared spectral range. Soil & Tillage Research 2013, 132:21-29.
13. Hodgson J.M. Soil Survey Field Handbook: Describing and Sampling Soil Profiles, Rothamsted Experimental Station 1974, Lawes Agricultural Trust, Harpenden.
14. Koolen A.J., Kuipers H. Agricultural Soil Mechanics 1983, Springer, Berlin, Germany.
15. Kuang B., Mahmood H.S., Quraishi M.Z., Hoogmoed W.B., Mouazen A.M., van Henten E.J. Chapter four - sensing soil properties in the laboratory, in situ, and on-line: a review. Advances in Agronomy 2012, 155-223. Academic Press, UK.
16. Minasny B., McBratney A.B., Whelan B.M. Vesper 1.62-Spatial Prediction Software for Precision Agriculture 2005.
17. Mouazen A.M., Ramon H. A numerical - statistical hybrid modelling scheme for evaluation of draught requirements of a subsoiler cutting a sandy loam soil, as affected by moisture content, bulk density and depth. Soil & Tillage Research 2002, 63:155-165.
18. 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.
19. Mouazen A.M., Ramon H. Development of on-line measurement system of bulk density based on on-line measured draught, depth and soil moisture content. Soil and Tillage Research 2006, 86:218-229.
20. 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 2006, 93:13-27.
21. 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.
22. Mouazen A.M., Maleki M.R., Cockx L., Van Meirvenne M., Van Holm L.H.J., Merckx R., Ramon H. Optimum three-point linkage set up for improving the quality of soil spectra and the accuracy of soil phosphorus measured using an on-line visible and near infrared sensor. Soil and Tillage Research 2009, 103:144-152.
23. Mouazen A.M., Ramon H. Expanding implementation of an on-line measurement system of topsoil compaction in loamy sand, loam, silt loam and silt soils. Soil and Tillage Research 2009, 103:98-104.
24. Mouazen A.M., Kuang B., De Baerdemaeker J., Ramon H. Comparison between 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 2010, 158:23-31.
25. Quraishi M.Z., Mouazen A.M. Calibration of an on-line sensor for measurement of topsoil bulk density in all soil textures. Soil and Tillage Research 2013, 126:219-228.
26. Quraishi M.Z., Mouazen A.M. Development of a methodology for in situ assessment of topsoil dry bulk density. Soil and Tillage Research 2013, 126:229-237.
27. Quraishi M.Z., Mouazen A.M. Bulk density prediction based on fusion of penetration resistance data with data on soil properties measured with a visible and near-infrared spectrophotometer. British Society of Soil Science, Soil Use and Management Journal 2013, (article in review).
28. Slaughter D.C., Pelletier M.G., Upadhyaya S.K. Sensing soil moisture using NIR spectroscopy. Applied Engineering in Agriculture 2001, 17:241-247.
29. StatSoft STATISTICA (data analysis software system), version 11 2011, StatSoft, Inc., Tulsa, USA.
30. Stenberg B., Viscarra Rossel R.A., Mouazen A.M., Wetterlind J. Visible and near infrared spectroscopy in soil science. Advances in Agriculture 2010, 107:163-215.
31. Stenberg B., Jensen L.S., Nordkvist E., Breland T.A., Pedersen A., Guomundsson J., Bruun S., Salo T., Palmason F., Henriksen T.M., Korsaeth A. Near infrared reflectance spectroscopy for quantification of crop residue, green manure and catch crop C and N fractions governing decomposition dynamics in soil. Journal of Near Infrared Spectroscopy 2004, 12:331-346.
32. Upadhyaya S.K., Shafii S., Slaughter D. Sensing soil nitrogen for site-specific crop management (SSCM). ASAE 1994, 94-1055.
33. Viscarra Rossel R.A., McGlynn R.N., McBratney A.B. Determining the composition of mineral-organic mixes using UV-vis-NIR diffuse reflectance spectroscopy. Geoderma 2006, 137:70-82.
34. Waiser T.H., Morgan C.L.S. In situ characterization of soil clay content with visible near-infrared diffuse reflectance spectroscopy. Soil Science Society of America Journal 2007, 71:389-396.