Spatial ecological risk analysis in peach farming in Manisa

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Emre Yeniay
Aydın Şık


With the help of information technologies, which are developing day by day, it has become easier to perform agricultural analyzes. Positional analyses can be performed with the help of Geographical Information Systems by gathering Climate, Soil, Topography and İrrigation data related to Agriculture. These analyses enables to generate analyses for agricultural investment maps, areas of agricultural conformity, plant pattern determination, etc. The purpose of this study is to prepare "Product Based Agricultural Risk Analysis Maps". Climate, Soil, Topography and Irrigation data, which are important in the growing of agricultural products are collected, severity and prospects for risk analysis are determined separately and risk values are established for each risk factor. The total risk value was calculated by prioritizing risk factors using the Analytical Hierarchy Process (AHP), one of the multi-criteria decision-making methods. Thanks to AHP, a methodology for calculating scenario-based risk values has been developed taking into account different probabilities. With the developed model, risk maps were created for climate, soil, topography and water constraints. The total risk map was obtained by combining the risk maps created with AHP. In this study, a model was established by taking the Peach and Fig product of Manisa and as a result of the model,  Total  Risk values were divided into classes such as "High Risk Areas", "Medium Risk Areas", "Low Risk Areas" and "Strictly Not Recommended Areas" according to the scores they received positional.

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How to Cite
Yeniay, E., & Şık, A. (2023). Spatial ecological risk analysis in peach farming in Manisa. Advanced GIS, 3(2), 59–67. Retrieved from


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