Manufacturing plants play a crucial role in the agricultural sector of Ghana, yet their efficiency varies significantly. There is a need to evaluate and optimise these systems to enhance productivity and profitability. A randomized controlled trial design was employed, where various manufacturing plants were randomly selected and subjected to different operational protocols. Data collection focused on output yields and input costs over a one-year period. Initial data analysis indicated that adopting an automated processing system resulted in a 20% increase in cocoa bean yield compared to traditional manual methods, with a cost reduction of $5 per unit production. The randomized field trial demonstrated the potential for efficiency gains through targeted improvements in manufacturing processes. These results provide empirical evidence supporting further research and policy implementation. Further studies should be conducted to validate these findings across different agricultural commodities and regions, with a focus on cost-benefit analysis and sustainability impacts. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.