Manufacturing systems in Kenyan plants have been identified as potential drivers of yield improvement but require rigorous evaluation. A DID econometric framework was employed to analyse data from several agricultural fields in Kenya. The DID model adjusts for potential confounding factors by comparing changes over time between treatment and control groups. The analysis revealed a significant proportion (20%) increase in yield where manufacturing system improvements were implemented, with robust standard errors indicating the reliability of these findings. This study provides empirical evidence that specific manufacturing system enhancements can lead to substantial yield improvements in Kenyan agricultural settings. Further research should explore scalability and sustainability of identified methodologies across other regions and sectors. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.