Field research stations play a crucial role in agricultural development in Tanzania by facilitating experimentation, data collection, and dissemination of knowledge to enhance crop yields and improve farming practices. A mixed-methods approach was employed, including surveys and interviews with stakeholders, alongside statistical analysis using regression models to estimate cost-efficiency ratios. The study found that the cost-effectiveness of field research stations varied significantly across different regions in Tanzania, with some stations achieving a return on investment exceeding 20%. This evaluation provides valuable insights into optimising resource allocation for future agricultural development initiatives in Tanzania. Strengthening communication channels between research stations and local communities is recommended to enhance the practical application of research findings. Field Research Stations, Quasi-Experimental Design, Cost-Effectiveness, Agricultural Development, Regression Analysis The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.