Risk Analysis Using Geographic Information Systems by Determining the Factors Affecting Yield in Plant Production: A case study from Ankara, Turkey

Performing agricultural analysis is becoming much more effortless due to the rapid improvements in information technologies. Geographic Information Systems (GIS) provide detailed data about climate, soil, topography, and irrigation values regarding agriculture; thus, allowing for performing location analyses. These analyses cover investment maps, propriety areas, plant pattern detections. The purpose of this study develop product-based risk maps. Climate, are essential cultivation products. With analysis, determined each factor. Applying Analytical Hierarchy Process (AHP), which one multi-criteria decision-making methods, total value calculated by prioritizing factors. AHP an efficient methodology developed calculate scenario-based considering various possibilities. In study, a model generated studying apricot, sour cherry, almond farming Ankara. As result development GIS Ankara, were mapped as "High-Risk Areas", "Medium-Risk "Low-Risk Areas" "Strongly Not Recommended according points they received spatially. When maps examined detail; it was that apricot crops Ankara province sensitive topography conditions than other Since affected late spring frosts, recommended factors can be reduced taking climatic measures areas where soil structure suitable. It has been cherry product less topographic from layers; while conditions, though tolerant conditions. According these results, grown large with medium high-risk levels, limited low-risk levels. Almond very level compared similar-sized but lower apricot.