GEOSPATIAL MAPPING OF AGRICULTURAL LAND SUITABILITY IN ZARIA, NIGERIA

This study mapped out the agricultural land suitability in Zaria using Geospatial Techniques (GT) with a view to highlight areas of improvement production enhance food security. The Agricultural Land Suitability (ALS) is fitness specific crop. ALS selects that best suits and supports crop optimal yield, by matching qualities crop’s requirements; hence increasing productivity per unit at minimum inputs cost. lands area were identified as well biophysical influence rice cropping. prevalent matched evaluation was done GT Multi Criteria Decision Making (MCDM) modelling approach. Food Organization (FAO) method adopted via GT; which entails delineating into highly suitable (S1), moderately (S2), marginally (S3), temporarily not (N1), permanently (N2). findings about 5% suitable, 9% very 18% 55% 13% suitable. results this can be used individuals, private organizations, government increase for sustainable farming order optimize yield mitigate degradation erosion