Land suitability analysis for groundnut and maize farming using AHP-GIS Methods; a case study of Niger East, Nigeria
Abstract
Land is an important factor of production and a main medium for the growth of plants. This research aimed to assess the land suitability of Niger East, Nigeria, for Groundnut and Maize cultivation. To achieve this, the study used an analytic hierarchy process (AHP) multi-criteria method in combination with geostatistical analysis on ArcGIS. The AHP method helped to estimate the weight of soil properties, climate, and topography data to determine the part of the land most suitable for maize and groundnut production. The findings showed that rainfall was the most critical factor (with a specific weight of 0.324) for the two crops, followed by temperature (0.227), soil pH (0.136), soil organic content (0.123), soil cation exchange capacity (0.08), soil texture (0.051), slope (0.029) and elevation (0.027). The final suitability maps produced for groundnut farming showed that 51% (8363.80 km2) of the total area (16232.36 km2) is highly suitable, 29% (4695.46 km2) is moderately suitable, 3% (458.54 km2) is marginally suitable while 17% (2714.56 km2) is not suitable for groundnut. For maize farming, 52% (8382.14 km2) of the area is highly suitable, 30% (4878.88 km2) is moderately suitable, 10% (1705.77 km2) while 8% (1265.57 km2) is not suitable. The findings of this study will be useful in determining the best location for farming at a minimized input and cost and a maximized crop yield and output.