GIS-based multi-criteria model for cotton crop land suitability - a case study from Pakistan - Projects
Updated : October 2020
Increasing environmental challenges in conventional agricultural practices such as improper land management, ecological systems and resources have led to the development of precision or smart agricultural technologies to effectively manage the ecosystem while enhancing the crop yield. This holds good for the cotton cultivation, a key component of the fashion value chain.
This case study provides details on the development of geospatial technologies or GIS systems for cotton crop land suitability in Sindh province of Pakistan. Soil, ground water availability, irrigation methods, climate, land use, cropping patterns and agro-ecological zoning are used in a model with GIS framework as a Spatial Decision Support System.
The study employed multi-criteria decision making methodology involving selection of factors, normalization, weight extraction and implementation of the function for selection of suitable areas for cotton cultivation.
Results obtained after implementation of cropping patterns and their associated statistics showed that development of multi-criteria model had a significant correlation with the cropping pattern as evident from the improved yield with minimal site alterations and that this model could be extended for local scale with variety of crop types and in other regions of the world.