This paper presents a mathematical modelling of thin layer drying of tomato (Solanum lycopersicum L.). To this end, two different methods were used to dehydrate tomato slices namely the solar drying (in an indirect solar dryer), and the forced convective drying (in a convective dryer). In the solar dryer, the experiments were carried out at a constant air velocity of 1 m.s-1 and average temperatures of 37.2, 39.9, 42.5 °C. In the convective dryer, the experiments were performed with five different temperatures (30, 40, 50, 60 and 70 °C) at a constant air velocity of 1 m.s-1. In order to estimate and select the appropriate drying curve equation, fifteen different thin layer mathematical drying models available in the literature were applied to the experimental data. The models were compared using the correlation coefficient (r) and the standard error (s) and were predicted by a non-linear regression analysis using the Curve Expert software. The Midilli-Kucuk model has shown a better ?t to the experimental drying data according to (r) and (s) for the two drying methods. The e?ect of the drying temperature on the parameters of this model was also determined. The experimental drying curves showed only a falling drying rate period. On average, tomatoes were dried to the ?nal moisture content of 0.15 kg water/kg d.m from 14.36 kg water/kg d.m in the solar drying, and to the ?nal moisture content of 0.10 kg water /kg d.m from 12.66 kg water/kg d.m in the convective drying.