Performance Evaluation of a Developed Fuzzy-Based Model for

Soil degradation is a phenomenon that has always had an adverse effect on productivity of soil. It occurs when soil loses its quality as a result of human activities resulting from improper use usually for agricultural, industrial or urban purposes. Right from the beginning of human existence, soil has played a major part in human survival by being the backbone of Agriculture. But over the years, man’s activities on the soil such as farming, use of fertilizers, deforestation, bush burning, etc. have all had adverse effect on the soil. Erosion has invariably led to degradation of the soil nutrients hence a necessity to monitor the rate and state of soil’s degradation in order to take adequate measures it. In order to achieve this, fuzzy model was used to predict the degradation after some factors have been quantified. Fuzzy model as an artificial intelligence technique has proven to be useful approach for addressing problems associated with simulating complex processes and environment in variety of Earth science disciplines. The model used was Fuzzy Based Dynamic Soil Erosion Model (FuDSEM). The model was used with different parameters and data to help its predictive ability. The results obtained from the output using the FuDSEM model shows that the area has low runoff potential. The results show that Fuzzy Logic model is reasonably accurate in predicting reliability of farm tractors. The fuel system was observed to be the most reliable of the tractor systems