The research study was carried out to investigate women's adoption of enhanced cassava processing technology in Abaji Area Council. 152 respondents were selected at random. Descriptive statistics, regression analysis, and the Z-test statistic were utilized as analytical tools. According to the findings, the respondents' average age was 35. Age, household size, processing experience, and association participation were significant predictors of the adoption of better cassava processing technology, in accordance to the regression analysis. The coefficient of determination (R2) turned out to be 0.47, indicating that the model's chosen parameters could account for 47% of the variability in the adoption of enhanced cassava processing technology. Indicating that the respondents' output and income increased following the adoption of enhanced cassava processing technologies, the Z-stat (20.04) for output was higher than the Z-critical (1.98) and the Z-stat (24.30) for income was higher than the Z-critical (1.98) respectively. Both of these differences were significant at p<0.05. The respondents' main challenges include poor financing, poor extension contacts, expensive cassava tubers, and expensive cassava processing machine rental fees. The study came to the conclusion that household size, age, processing experience, and association membership were significant and should be taken into account for assuring widespread adoption of enhanced cassava processing methods. Consequently, it is advised that the female cassava processors establish cooperatives so that they can pool their financial resources for future investment. By providing services, particularly in areas that exhibit low adoption in this study, such the mechanical sifter and fryer, the extension services on better cassava processing technologies should be emphasized in the study area. Governmental and non-governmental organizations should provide women who process cassava with improved technologies.

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