FUZZY LOGIC ANALYSIS OF SOIL FERTILITY PARAMETERS IN IRRIGATED AREAS

Abstract

Quantity and quality of water and soil resources are running out, food qualities are reducing and life is getting harder due to the industrial and agricultural activities. Regarding this, resources should be defined, protected and developed for the sustainability of food production. The aim of this study is to determine the effects of the fertility parameters, macro and micro nutrient elements of the soils for irrigated field crops in an agricultural enterprise of Merie-Turkey basin on soil productivity with fuzzy logic. Physical and chemical analyses of the examined soil samples are conducted according to the standard methods. The fertility parameters in the selected parcels change as following: pH 5.82-7.92, organic matter (OM) 0.73-1.86%, lime (CaCO3) 09.91%, total nitrogen (N) 0.04-0.09%, available phosphorous (P) 4.14-34.90 ppm, exchangeable potassium (K) 150.95-688.67 ppm, copper (Cu) 1.53-3.17 ppm, iron (Fe) 3.48-84.48 ppm, zinc (Zn) 0.20-0.99 ppm, and manganese (Mn) 40.55-228.74 ppm. These all parameters which directly influence soil fertility constitute the input variable in the model, and productivity constitutes the output variable. Fuzzy values that belong to these parameters are gathered and soil productivity profiles of each area and percent (%) productivity values are revealed. Fuzzy productivity values change between 16.40 - 84.20%.