Field research stations play a crucial role in agricultural development in Nigeria, yet their effectiveness is often questioned. A difference-in-differences (DID) model was employed to measure yield improvements attributable to interventions at field stations. The DID approach allowed us to isolate the impact of experimental treatments from other potential confounders. The results indicated a statistically significant increase in crop yields by approximately 15% for stations implementing new agricultural practices compared to control areas without such interventions. Our analysis confirmed that difference-in-differences is an effective methodological tool for evaluating the impact of field research stations on agricultural productivity. Future studies should consider replicating these findings across different regions and crops, thereby enhancing the robustness of our results. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.