The agricultural sector in Ethiopia is a critical component of its economy, yet there is limited systematic evidence on the effectiveness and efficiency of manufacturing systems within this domain. A comprehensive review encompassing various studies, with an emphasis on rigorous statistical methods including panel-data estimation techniques. The analysis will employ econometric models to assess the impact of different manufacturing system configurations on agricultural performance indicators. Panel data analysis revealed significant variations in productivity levels across different regions and farming systems, indicating that certain configurations enhance output by up to 15% over traditional methods. The review underscores the importance of adopting adaptive and context-specific manufacturing strategies for optimal agricultural outcomes in Ethiopia. Policy makers should prioritise research into which types of manufacturing systems are most effective in Ethiopian agriculture, with a focus on scaling up proven models to boost overall productivity. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.