Agricultural risks in Nigeria are significant, affecting productivity and sustainability. Process-control systems have been proposed as a solution to mitigate these risks. Panel data from 150 farms were collected over three years, using a mixed-effects model for estimation. Uncertainty around parameter estimates is addressed by robust standard errors. The estimated reduction in yield variability due to process-control systems was found to be between 20% and 30%, indicating significant impact on risk management strategies. Process-control systems show promise for reducing agricultural risks, with notable improvements observed across different farming contexts in Nigeria. Further research should explore the scalability of these systems and their long-term sustainability impacts. Implementation guidelines could be developed based on this study’s findings. Agricultural Risk Reduction, Process-Control Systems, Panel Data Analysis, Nigeria The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.