Climate is changing; so, management of agricultural practices should be changing also. This research aimed to answer two main questions which are: is management of agricultural practices climate smart? And why? To answer these questions; Scale for management of smart agricultural practices was constructed. Also, 22 determinants have assessed in relationship with management of smart agricultural practices. A simple random sample consists of 144 smallholder farmers was selected and Multivariate analysis was used using the multiple linear regression method to teste the research hypotheses. The most important results showed that several smart agricultural practices were practiced but others were not. Results also showed that the main variable that has a unique significant effect in explaining the variance in the regression model; and the largest in terms of predictor effect in the model is the physical-biological of farming problems determinant. The physical-biological of farming problems determinant has the biggest effect on all types of management smart Agricultural practices for (crops, livestock, and mixed farming). The findings of this research were discussed.