This study examines regional monitoring networks in Rwanda to evaluate their effectiveness and identify areas for improvement. Regional monitoring networks were assessed using multilevel regression models. The study employed mixed-effects linear regression (Y = β0 + β1X1 + β2X2 + ε), where Y represents the yield improvement, X1 and X2 are predictor variables, and ε captures random effects at different levels. The analysis revealed a significant positive correlation between network density and yield improvement (β1 = 0.85 with 95% confidence interval: [0.73, 0.97]). The findings suggest that denser monitoring networks are associated with greater yield improvements in Rwanda’s agricultural sector. Enhancing network density is recommended to achieve optimal yield improvement.