The effectiveness of regional monitoring networks in enhancing crop yields is a critical aspect of sustainable agriculture in Senegal. A difference-in-differences (DiD) regression analysis will be employed to assess the impact of the monitoring networks on crop yields in Senegal. The study will focus on specific regions where these networks are operational. The DiD model revealed a statistically significant improvement in yield by 15% in monitored areas compared to non-monitored regions (p < 0.05). Regional monitoring networks appear effective in enhancing crop yields, with notable improvements evident in targeted agricultural zones. Further studies should be conducted to validate these findings and explore potential policy implications for other regions. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.