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Volumn 149, Issue 3, 2002, Pages 215-228

A fuzzy clustering approach to delineate agroecozones

Author keywords

Biophysical constraints; Ecological regionalization; Fuzzy clustering; Fuzzy logic; Uncertainty

Indexed keywords

CROP PRODUCTION; DECISION SUPPORT SYSTEM; FUZZY MATHEMATICS; REGIONALIZATION;

EID: 0036533732     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(01)00446-X     Document Type: Article
Times cited : (45)

References (42)
  • 4
    • 0031954356 scopus 로고    scopus 로고
    • Soil-landscape modelling using fuzzy c-means clustering of attribute data derived from a digital elevation model (DEM)
    • (1998) Geoderma , vol.83 , pp. 17-33
    • De Bruin, S.1    Stein, A.2
  • 16
    • 4244143238 scopus 로고    scopus 로고
    • Department of Agronomy and Horticulture, Institute of Agriculture and Natural Resources, University of Nebraska-Lincoln, Lincoln, NE
    • (1999) Personal communications
    • Milner, M.1
  • 30
    • 0003700964 scopus 로고
    • Land resource regions and major land resource areas of the United States
    • US Govt. Printing Office, Washington, D.C.
    • (1983) Agric. Handbook No. 296


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.