The nation's agricultural sector is crucial since millions of rural households depend on smallholder farming for their subsistence. However, smallholder farmers face many challenges that climate change has exacerbated, including erratic rainfall patterns, increased frequency of floods and droughts, and lower soil fertility. Climate-smart agriculture (CSA) theory has gained support to address these issues and advance sustainable agriculture. Data from 260 households were evaluated using the extended Roy model with a local instrumental variable (LIV) version utilizing a semi-parametric method and Propensity Score Matching (PSM). The PSM model's findings demonstrated the favorable and significant effects that adopting the row planting technique had on both consumption and income from agriculture per acre. The results are a direct consequence of the row planting method since variables have a uniform distribution, and the impact estimate is unaffected by hidden bias in selection. With a greater propensity for farmers to use climate-smart planting techniques, the marginal value of row planting grows. Implementing CSA might improve rural living, reduce environmental damage from agricultural development, and diminish the effects of climate change on smallholder agriculture