Land suitability analysis for paddy crop using GIS-based Fuzzy-AHP (F-AHP) method in Koch Bihar district, West Bengal
Bappa Sarkar, Prasanta Das, Nazrul Islam, Amiya Basak, Manoj Debnath, Ranjan Roy
Abstract
Land Suitability Analysis (LSA) is one of the most important methods for developing a precise land suitability map. The present study was aimed to identify suitable paddy crop-growing regions in the Koch Bihar district of West Bengal, India. For the study, 18 criteria were chosen, and their weightage was assigned based on expert opinion and the GIS-based Fuzzy Analytical Hierarchy process (F-AHP) method adopted. Results indicated the most important factors for developing LSA for paddy cultivation are rainfall (16.72%), soil texture (13.22%), slope (11.55%), elevation (09.63%), soil moisture (08.27%), temperature (07.11%), and pH (05.03%). It has been observed that highly suitable (14.54%), moderately suitable (46.07%), marginally suitable (24.20%), and not suitable (15.19%) areas for paddy cultivation. The Area Under Curve (AUC) value (0.869) confirms the reliability of the F-AHP approach in LSA. The findings of the study provide sustainable agricultural planning and delineate potential sites for paddy cultivation.