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 Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Mawino et al. (Tue,) studied this question.