The prediction model equation of a draught force of animal-drawn Mouldboard plough has several advantages in improving tillage performance in smallholder farming systems. These include fully utilizing input data for implement designers and extension workers, proper usage of draught animals, and minimizing operator tragedy. A 1 x 3 x 3 factorial experimental design was arranged in a Randomized Complete Design (RCD) on three blocks of test plots each measuring 25 m x 80 m to generate input parameters for predicting the draught of animal-drawn mouldboard plough on the sandy loam soils at Yola. The model input parameters include implement mass, operation speed, operation depth, soil moisture content, and bulk density. A pair of oxen weighing 560 kg was used as a power source. The highest mean draught values of 436.40 N and the lowest of 381.47 N were obtained at a speed and depth combination of 1.25 m/s and 0.183 m and 0.69 m/s and 0.083 m respectively. A mathematical model with a correlation between the measured and predicted r2 value of 0.9683 was developed using the concept of Buckingham's Pi theorem. The model developed effectively predicted draught for animal implements by 96.83 %. A paired t-test revealed no significant difference between the measured and the predicted values at 0.05 significant levels. The result showed that a developed mathematical equation can effectively predict the draught force of mouldboard plough in sandy loam soil.