The infiltration characteristic of the soil is a major determinant of the efficiency and uniformity of surface irrigation application. Infiltration affects the advance, recession, runoff, and volume of infiltration during irrigation. This study has been carried out to estimate infiltration characteristics using irrigation advance data for furrow irrigation. Irrigation advance data for one field was collected at Latif farm, Sindh Agriculture University, Tandojam for three irrigation events and data sets for two fields of cotton in Queensland, Australia have also been used. To achieve the objectives of the study four different methods were employed viz: two-point method, computer model INFILT, Valiant one point and upadhyaya method. Employing these methods, infiltration parameters for three fields were determined and equations for cumulative infiltration and advance trajectories were evolved. Evaluation of the methods was undertaken to know the best method for the prediction of cumulative infiltration and advance. From the results, it has been concluded that the computer model INFILT V is the most accurate, reliable, and user-friendly method, as it performed well in all cases and can be used for achieving benefits in irrigation industry