Panel Data Analysis of Process-Control Systems Yield Improvement in Ghanaian Agricultural Settings,

This study examines process-control systems' impact on agricultural yield in Ghanaian settings from to . Panel data analysis was employed to estimate the effect of process-control systems on agricultural productivity, utilising a dataset spanning from to across various Ghanaian farms. A significant proportion (45%) of farms experienced yield improvements when implementing process-control systems, with mixed results in terms of system reliability and scalability. Process-control systems demonstrated promise in enhancing agricultural yields but require further refinement for broader application. Further research should focus on developing more robust models to address identified system weaknesses and explore the socio-economic impacts of these technologies. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.