Not AvailableLand evaluation is carried out to assess the suitability
of land for a specific use. Land evaluation procedures
focus increasingly on the use of quantitative procedures
to enhance the qualitative interpretation of land
resource surveys. Conventional Boolean retrieval of soil
survey data and logical models for assessing land suitability,
treat both spatial units and attribute value
ranges as exactly specifiable quantities. They ignore the
continuous nature of soil and landscape variation and
uncertainties in measurement, which may result in the
failure to correctly classify sites that just fail to match
strictly defined requirements. The objective of this article
is to apply fuzzy model to land suitability evaluation
for major crops in the 15 benchmark sites of the Indo-
Gangetic Plains (IGP) and 17 benchmark sites of the
black soil regions (BSR). Minimum datasets of land
characteristics considered relevant to rice and wheat in
the IGP and cotton and soybean in the BSR were identified
to enhance pragmatic value of land evaluation.
The use of fuzzy model is intuitive, robust and helpful
for land suitability evaluation and classification, especially
in applications in which subtle differences in land
characteristics are of a major interest, such as development
of threshold values of land characteristics.Not Availabl
