GIS-based fuzzy membership model for crop-land suitability analysis

摘要: Abstract Crop-land suitability analysis is a prerequisite to achieve optimum utilisation of the available land resources for sustainable agricultural production. The Food and Agricultural Organisation [FAO, 1976. A framework evaluation (Soils Bulletin No. 32). FAO, Rome.] recommended an approach crops in terms ratings from highly suitable not based on climatic terrain data soil properties crop-wise. assignment given area element (pixel) any one class encountered with problems due variation within as well matching more than different extents. Boolean methods are designed assign pixel single no provision exists assigning partial each appropriate classes. In present study use fuzzy (partial) membership classification used accommodate above uncertainty classes pixel. spatial variability relevant parameters carried out geographic information system environment while Kalyanakere sub-watershed Karnataka. Nine (eight topography) considered by weightage factors included relative importance governing crop productivity. According field information, being grown maximum finger millet. However, crop-land results reveal that potentially growing ground nut.