Field research stations in Senegal play a crucial role in agricultural development by providing controlled environments for testing new crop varieties and farming practices. The proposed framework will employ a randomization design to ensure comparability between experimental and control plots. Statistical methods including ANOVA (Analysis of Variance) will be used for data analysis, accounting for potential confounding factors. This randomized trial approach provides a robust methodological framework to assess and improve field research stations' effectiveness in Senegal, offering tangible benefits for agricultural productivity. Implementing the recommended methodologies will enhance the reliability and validity of results from future trials conducted at these stations. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.