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Land use potentialities and local agro-ecologies limits are key principles of sustainable land management.Geographical Information System (GIS) is an efficient tool for collecting, storing, retrieving transforming anddisplaying spatial data and also non-spatial data from the real world for a particular set of objectives. In thisstudy agroinformatics and geo-spatial technologies are combined to design a model for evaluating the cottoncrop land suitability. Soil, ground water availability, irrigation methods, climate, land use, cropping patterns andagro-ecological zoning are used in a model with GIS framework as a Spatial Decision Support System. Multicriteriadecision-making methodology is employed in a systematic manner. It starts with the selection ofsignificant factors and goes on with normalization, ranking, weight extraction and implementation of weightedoverlays function for graded suitable areas identification for cotton crop cultivation in the Sindh province ofPakistan. The criteria are normalized on a same scale viz. suitable, less suitable and not suitable land for cottoncrop cultivation. The output of model is validated through practicing cropping pattern in the region andassociated agriculture statistics. We found a highly significant correlation (r = 0.92) between multi-criteriacotton crop suitability and practicing crop patterns in the study area. This model can be extended for local scalewith variety of crop types and in other regions of the world.
SAJIDA PERVEEN, MUDASSAR HASSAN ARSALAN, MUHAMMAD FAHEEM SIDDIQUI, IMRAN AHMED KHAN, SHAHZAD ANJUM, MUHAMMAD ABID. (2013) GIS-BASED MULTI-CRITERIA MODEL FOR COTTON CROP LAND SUITABILITY: A PERSPECTIVE FROM SINDH PROVINCE OF PAKISTAN, fuuast Journal of Biology, Volume 3, Issue 1 .
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