The Impact Of Water And Soil Electrical Conductivity And Calcium Carbonate On Wheat Crop Using A Combination Of Fuzzy Inference System And GIS

Abstract Regarding population growth reduction of food resources issues of water scarcity droughts and water and soil pollution there is no doubt that agriculture in the form of science and by up to date technologies such as GIS and expert systems like fuzzy inference system would be important. In this study the performance of wheat with attend to soil electrical conductivity electrical conductivity of the water and the percentage of calcium carbonate and using a combination of GIS and fuzzy inference system is acceptance and analysis of several parameters simultaneously. If parameters increase the accuracy will be improved. Inference system estimated the performance using soil EC water EC and calcium carbonate in soil as input parameters and also analyzing them. With respect to the results of fuzzy inference system 76 percent of accuracy for the method of Mamdani and 52 percent of accuracy for the method Sugeno were achieved.