Climate-smart agriculture (CSA) is a set of practices designed to enhance agricultural productivity while reducing environmental impact and increasing resilience to climate change. A mixed-methods approach was employed, including surveys and interviews with a sample of 100 randomly selected Kenyan smallholder farmers who practiced either traditional or CSA methods. Data analysis used descriptive statistics to summarize findings and regression models to identify significant predictors of CSA adoption. Survey results indicated that the average yield increase for farmers adopting CSA was approximately 25% compared to those practicing traditional methods, with a 95% confidence interval indicating a range from 18-32%. The findings suggest significant potential benefits of CSA adoption in enhancing agricultural productivity among Kenyan smallholder farmers. Recommendations include providing targeted training and financial support to encourage wider adoption of CSA practices by smallholder farmers, particularly those facing climate-related challenges. Climate-Smart Agriculture, Smallholder Farmers, Yield Increase, Confidence Interval The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.
Kibwana et al. (Sun,) studied this question.