Mathematical models of thin-layer drying for noni (Morinda citrifolia L.) were studied and verified with experimental data. Eighteen (18) thin-layer drying models were compared according to three (3) statistical parameters (i.e., correlation coefficient, root mean square error, and chi (χ²)-square). The thin-layer drying kinetics of noni was experimentally investigated in a laboratory tunnel dryer and the mathematical modelling, using thin-layer drying models present in the literature, was performed. The effect of drying air temperature (50, 60 and 70 ºC) and airflow velocity (1, 1.5, and 2 m/s) was studied. From the drying rate curves, only a falling rate period was observed. The moisture content of noni decreased continually with drying time. As expected, an increase in the drying air temperature reduces the time required to reach any given level of moisture content since the heat transfer increases. This can be explained by the increasing temperature difference between the drying air and the noni and the resultant moisture (water) migration. The experimental drying data of noni were used to fit the different thin-layer models, then drying rate constants and coefficients of models tested were determined by nonlinear regression analysis using MatLab’s Curve Fitting tool. As for all the drying models, the Alonso model was superior and best predicted the experimental values. Therefore, this model can be used to facilitate dryer design and promote efficient dryer operation by simulation and optimisation of the drying processes.