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- W1596787889 abstract "The cotton suitability analysis in Mansa district of Punjab State was attempted with the major objective of studying the distribution of cotton crop in relation to its suitability based on the soil parameters namely: i) land use / land cover, ii) soil characteristics, iii) quality of ground water used for irrigation and iv) soil fertility status with respect to phosphorous. The Saaty’s method has been implemented for cotton suitability analysis in this study in the ARC/INFO GIS environment. The ranks assigned to different parameters and categories were converted into weightages by using Saaty’s method. The integrated weightages for each category and parameter were computed using the multiplicative method. These calculated weightages for different layers were used to generate a composite layer, which contains overall scores for all the alternatives. The entire range of values in the composite layer was divided into four classes using equal interval classification method. These combined weightages can be expressed as a Cumulative Suitability Index (CSI) of all the four parameters, which is the measure of relative suitability of land for cotton cultivation in the study area. Using these combined weightages, cotton suitability map having four suitability classes namely, highly suitable, suitable, marginally suitable and non-suitable, was generated. It was observed that during Kharif 2003 season out of 93200 ha area under cotton, the distribution of cotton acreage under various suitability classes was, highly suitable: 45 per cent, suitable: 33.9 per cent, marginally suitable: 17.5 per cent and non-suitable: 2.9 per cent." @default.
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- W1596787889 date "2013-01-08" @default.
- W1596787889 modified "2023-09-24" @default.
- W1596787889 title "Cotton Suitability Analysis Using Geoinformatics in Punjab State, India" @default.
- W1596787889 hasPublicationYear "2013" @default.
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