Soil quality assessment using fuzzy modeling

International Agrophysics

Volumn 22, Issue 4, 2009, Pages 365-370

  Torbert, H A ^a   Krueger, E ^b   Kurtener, D ^c  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b Independent Researcher   (United States)

^c AGROPHYSICAL RESEARCH INSTITUTE   (Russian Federation)

Author keywords

Fuzzy indicators; Fuzzy modeling; Soil quality

Indexed keywords

AGRICULTURAL PRODUCTION; ASSESSMENT METHOD; FUZZY MATHEMATICS; NUMERICAL MODEL; SOIL ANALYSIS; SOIL QUALITY;

EID: 73949132333     PISSN: 02368722     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (32)

1. Baja S., Chapman D.M. Dragovich D., 2002a. Using GIS-based continuous methods for assessing agricultural land use potential in sloping areas. Environ. Plan. 29, 3-20
2. Baja S., Chapman D.M. Dragovich D., 2002b. A conceptual model for defining and assessing land management units using a fuzzy modeling approach in GIS environment. Environ. Manag., 29(5), 647-661.
3. Bremer E. Ellert K., 2004. Soil quality indicators: a review with implications for agricultural ecosystems in Alberta. Symbio ag consulting Lethbridge http://www1.agric.gov.ab.ca/$department/deptdocs.nsf/all/aesa8681/$FILE/sqi_review_final.pdf.
4. Burrough P.A., 1989. Fuzzy mathematical methods for soil survey and land evaluation. J. Soil Sci., 40, 477-492.
5. Burrough P.A., MacMillan R.A. van Deursen W., 1992. Fuzzy classification methods for determining land suitability from soil profile observations and topography. J. Soil Sci., 43, 193-210.
6. Carver S., 1991. Integrating multi-criteria evaluation with geographical information systems. Int. J. Geogr. Infor. Sys., 5,321-339.
7. Corne S., Murray T., Openshaw S., See L. Turton I., 1999. Using computational intelligence techniques to model subglacial water systems. J. Geogr. Sys., 1, 37-60.
8. Huddleston J.H., 1984. Development and use of soil productivity ratings in the United States. Geoderma, 32, 297-317.
9. Jager R., 1995. Fuzzy Logic in Control. Delft TU Press, Delft, Belgium.
10. Joerin F., Theriault M. Musy A., 2001. Using GIS and outranking multi-criteria analysis for land-use suitability assessment International J.Geogr.Inf.Sci.,15(2),153-174.
11. Kaiumov M.K., 1977. Handbook on Yield Programming (in Russian). Rosselkhozizdat Press, Moscow, Russia.
12. Karlen D.L., Andrews S.S. Doran J.W., 2001. Soil quality: Current concepts and applications. Adv. Agron., 74, 1-40.
13. Karlen D.L., Wollenhaupt N.C., Erbach D.C., Berry E.C., Swan J.B., Eash N.S. Jordahl J.L., 1994. Crop residue effects on soil quality following 10-years of no-till corn. Soil Till. Res., 31, 149-167.
14. Krueger-Shvetsova E. Kurtener D., 2003. A Management Fuzzy Indicators for Precision Agriculture.SPBISTROPress, St. Petersburg, Russia.
15. Kurtener D, Badenko V.,2000.Methodological frame work based on fuzzy sets theory for land use management. J. Braz. Comp. Soc., 6, 26-32.
16. Kurtener D. Badenko V., 2000. Precision agricultureexperimentation on the base of fuzzy models synthesized with GIS. Aspects of App. Biology, 61, 139-143.
17. Kurtener D. Badenko V., 2002. Fuzzy algorithms to support spatial planning. In: Planning Support Systems in Practice (Eds S. Geertman, J. Stillwell). Springer Press, Berlin, Germany.
18. Kurtener D., Krueger-Shvetsova E. Dubitskaia I., 2004. Field agriculture experimentation: assessment of geo referenced data quality. Proc. 12th Int. Conf. 'Mechanization of field experiments', July 5-9, St. Petersburg, Russia.
19. Kurtener D., Yakushev V., Badenko V. Pourabbas E., 1999. Development of Methodology of Multiple Assessment of Landscape Parcels on the Base Fuzzy Models Integrated into GIS Environment. SPBISTRO Press, St. Petersburg, Russia.
20. Larson W.E. Pierce F.J., 1994. The dynamics of soil quality as a measure of sustainable mangement. In: Defining Soil Quality for a Sustainable Environment (Eds J.W. Doran, D.C. Coleman, D.F. Bezdicek and B.A. Stewart). SSSA Press, Madison, WI, USA.
21. Letey J., Sojka R.E., Upchurch D.R., Cassel D.K., Olson K.R., Payne W.A., Petrie S.E., Price G.H., Reginato R.J., Scott H.D., Smethurst P.J. Triplett G.B., 2003. Deficiencies in the soil quality concept and its application. J. Soil Water Conserv., 58, 180-187.
22. Mathworks Inc, http://www.mathworks.com/
23. McBratney A.B. Odeh I.O., 1997. Application of fuzzy sets in soil science: fuzzy logic, fuzzy measurements and fuzzy decisions. Geoderma, 77, 85-113.
24. Pedrycz W. Gomide F., 1998. An Introduction to Fuzzy Sets: Analysis and Design. MIT Press, Cambridge, USA.
25. Pierce F.J., Larson W.E., Dowdy R.H. Graham W.A., 1983. Productivity of soils: assessing long-term changes to erosion. J. Soil Water Conserv., 38, 39-44.
26. Popp J., Hoag D. Ascough J.I., 2002. Targeting soil conservation policies for sustainability: new empirical evidence. J. Soil Water Conserv., 57, 66-74.
27. Ross T.J., 1995. Fuzzy Logic with Engineering Applications. McGraw-Hill, New York, USA.
28. Tang H. van Ranst E., 1992. Testing fuzzy set theory in land suitability assessment for rainfed grain maize production. Pedologie, 41, 129-147.
29. Torbert H A, Searcy S W., Kenimer A.L. Roades J.,2000. Precision farming effects on corn productivity and water quality. Proc. 2nd Int. Conf. 'Geospatial information in agricultureandforestry', January10-12,LakeBuenaVista,FL,USA.
30. Walker J., 2002. Environmental Indicators and Sustainable AgriCulture. ACIAR Press, Sidney, Australia.
31. Walker J. and Reuter D.J., 1996. Indicators of Catchment Health. A Technical Perspective.CSIROPress,Melbourne,Australia.
32. Xiang W.N., Gross M., Fabos J.G. Macdougall E.B., 1992. A fuzzy group multicriteria decision making model and its applicationtoland-useplanning.Environ.Plan.,19,61-84.