African Aerospace Engineering | 15 October 2002
Time-Series Forecasting Model Evaluation of Process-Control Systems in Tanzanian Agricultural Yields,
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Abstract
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 $Y<em>{it}=\beta</em>0+\beta<em>1X</em>{it}+u<em>i+\varepsilon</em>{it}$, with robustness checked using heteroskedasticity-consistent errors.