This study applied Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the moisture ratio (MR) during the drying process of yam slices (Dioscorea rotundata) in a hot air convective dryer. The results showed that the ANFIS model was able to accurately predict the MR of yam slices at different drying temperatures and times. The study also investigated the effect of drying temperature on the quality of dried yam slices, and the results showed that high drying temperatures resulted in a lower quality of dried yam slices. The study concluded that the ANFIS model can be used as a reliable tool for predicting the drying characteristics of yam slices, and that the quality of dried yam slices can be improved by optimizing the drying temperature.