Field research stations in Kenya have been established to study land degradation impacts on agricultural yields. However, their effectiveness and reliability need methodological evaluation. A quasi-experimental design will be employed to assess the impact of different management practices on agricultural yields in Kenya's varied landscapes. Data collection and analysis will employ statistical models. Field researchers observed significant variability (30-50%) in reported yield improvements across stations, influenced by soil types and management techniques. The quasi-experimental design highlights the need for standardised protocols to ensure consistent data quality and reliability among different research stations. Standardised protocols should be implemented to enhance the comparability of field research station results in Kenya. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.