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The assessment of crop-land suitability is crucial for optimizing agriculture productivity and resource allocation.By employing Geographic Information system (GIS), we can effectively analyze and visualize the spatial distribution of various factors that impact crop suitability, such as soil properties, climate conditions, topography and land use patterns.The aim of the study is to investigate the spatial variability status of criteria that influence crop-land suitability through utilization of GIS techniques.The research methodology involves collecting and integrating multi-source data, including soil samples, climate data, digital elevation model and land use land cover.These dataset are processed, analyzed and classified, using the GIS tool to generate spatial layers representing criteria.Each spatial layer was classified, according to FAO guidelines for land evaluation, into four categories of suitability (highly suitable, moderately suitable, marginally suitable and unsuitable) for crop cultivation.By analyzing these layers, we can identify areas with high or low suitability for specific crops, enabling informed decision-making for agriculture planning and management.The result of this study will provide valuable insights into the spatial variability of cropland suitability, allowing land managers and farmers to make informed decisions regarding land use, crop selection and resource allocation.The utilization of GIS techniques in this research enhances our understanding of the complex relationships between various criteria and their spatial distribution, contributing to sustainable and efficient agricultural practice.
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