The MUSLE was utilized in this study to estimate soil erosion using daily precipitation which was main influential factor in soil loss estimation. Various scenarios were simulated to evaluate how transition of slope, agricultural products and precipitation could affect soil loss in the field. It was found that slope was the most affecting factor in soil loss estimation. Especially 1.8 times the soil loss was expected with potato at 45% slope compared with codonopsis at same slope with MUSLE model. Fortunately, farmers had planted codonopsis at this slope to reduce soil erosion from this steep slope. As shown in this study, the MUSLE method could be utilized to determine optimum crop type for each field with various slope conditions to minimize soil erosion. This approach utilized in this study could be applied to other agricultural watersheds to evaluate various soil erosion conditions.