The adoption of self-sufficient solar energy systems for livestock watering in northern Ugandan villages is an emerging trend aimed at improving agricultural productivity and sustainability. Data were collected through semi-structured interviews and focus group discussions. Analysis employed thematic content analysis with a robust standard error model (OLS regression) for quantifying relationships between variables. Farmers showed significant interest in solar-powered watering systems, particularly those who experienced higher electricity costs or relied on limited grid access. The adoption of self-sufficient solar energy systems is influenced by socio-economic factors and perceptions of reliability and cost-effectiveness. Promotion strategies should emphasise the financial benefits and technological feasibility of these systems to encourage wider uptake in northern Ugandan villages. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.