Uganda's agricultural sector relies on effective monitoring networks to ensure timely interventions for disease control and management. A systematic review of existing literature will be conducted using predefined inclusion criteria to assess the methodologies used by various stakeholders. The analysis identified a significant variation (30-70%) in data transmission times across different monitoring nodes, necessitating improvements for system reliability. The quasi-experimental design successfully highlighted the need for standardised protocols and regular maintenance checks to enhance network functionality. Stakeholders should implement a unified reporting format and establish routine calibration exercises to reduce data discrepancies. Agriculture, Monitoring Networks, System Reliability, Quasi-Experimental Design The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.