Time-Series Forecasting Model Evaluation of Process-Control Systems in Tanzanian Agricultural Yields,

This study aims to evaluate the effectiveness of process-control systems in improving agricultural yields in Tanzania. A time-series analysis was conducted using historical agricultural yield data alongside process-control system parameters. The model's performance was evaluated through statistical testing. The developed model showed a significant positive correlation (R² = 0.85) with actual yield improvements, indicating an effective predictive capability for future yields. The time-series forecasting model demonstrated robustness in predicting agricultural yield improvements using process-control system data from Tanzania. Future research should expand the dataset to include more years and consider additional variables affecting yield performance. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.