Using primary data, the study analyzes the factors that affect cassava farmers' production in Oyo state, Nigeria, using cross-sectional data obtained from 330 cassava farmers through a multistage sample and a well-structured questionnaire. Data collected was analyzed using inferential statistics (Cobb Douglas production model analysis) using software for statistical analysis (STATA). The empirical results of the analysis revealed that farming experience was positively significant at (β= 0.220, p<0.01), farm size (β= 0.504, p<0.01), age of respondents (β= 0.188, p<0.01), credit (β = 0.182, p<0.01), mode of cultivation (β = 0.05, p<0.01), cassava stem used (β = 0.069, p<0.01) respectively, except land used duration which was negatively signed and significant (β = -0.164, p<0.01) to cassava productivity. The F Statistics was 71.420 and R2 of 0.781 obtained indicated that the explanatory variables explained 78% level of variation in cassava output. The study therefore confirmed that all the significant variables were the major determinant of cassava farmers’ productivity in the study area.