Official research reports, policy documents, technical guides, and updates related to Uganda's livestock identification and traceability programme.
Comprehensive review of U-LITS operations in 2025, covering 20,000+ registered animals, farm coverage across all regions, disease surveillance outcomes, and the expansion of the butchery traceability module. Includes key performance indicators, challenges, and the roadmap for 2026.
Analysis of Foot and Mouth Disease (FMD) surveillance data collected through U-LITS across all districts. Covers 15,542 animal records and outbreak detection methodology.
The national policy framework guiding the implementation of livestock identification, holding codes, and the four regulatory registers under MAAIF.
Research study applying Prophet time-series forecasting on 45,589 milking event records. Demonstrates ±8–12% accuracy improvements for herd productivity planning.
Step-by-step guide for registering farms, tagging animals, recording health events, and synchronising data offline using the U-LITS mobile app.
U-LITS officially launched the complete butchery workflow in 5 Kampala abattoirs, introducing full traceability from live animal to packaged cuts with QR-coded labels.
Official guidelines for district veterinary officers and livestock extension officers on how to correctly apply electronic tags and register animals in U-LITS.
Machine learning study applying XGBoost to predict animal health risks from vaccination records and disease history. Achieves AUC 0.82–0.88 for early disease alerts.
Comprehensive guide for administrators and district officers on using the U-LITS web portal to review registrations, run reports, manage users, and monitor system activity.
Coverage analysis of Livestock Holding Codes (LHC) assigned across all 135 districts, with farm registration rates, geographic distribution, and data quality assessment.
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