Policy & Regulation, Technology & Innovation

Farm to Fork: How Meat Traceability Protects Ugandan Consumers

When you buy meat from a butcher in Kampala, do you know where that animal came from? Was it healthy? Was it properly inspected? For most Ugandan consumers, the answer is no. Farm-to-fork traceability is the solution.

The Current Reality

Uganda processes an estimated 1.5 million cattle annually for meat. A significant proportion of slaughter happens outside regulated facilities. When a food safety issue is detected, authorities have no way to identify the source, recall affected products, or prevent recurrence.

How U-LITS Enables Farm-to-Fork Traceability

1. Live Animal: Every animal has a verified digital identity with complete history — farm of origin, breed, age, health records, vaccinations, treatments, and withdrawal periods.

2. Movement: The animal’s journey from farm to slaughter house is documented through digital movement permits with QR-verified checkpoints.

3. Ante-Mortem Inspection: Upon arrival at a registered slaughter house, body condition, temperature, and clinical signs are recorded in U-LITS.

4. Slaughter & Post-Mortem: Detailed post-mortem inspection records organ condition, disease findings, and carcass grade (A, B, or C). Hot carcass weight is recorded.

5. Carcass Distribution: The carcass is broken into hindquarters, forequarters, and offals. Each distribution is recorded with destination, weight, and timestamp.

6. Retail Labelling: U-LITS generates printable labels with barcodes for each meat cut. Scanning the barcode reveals the complete chain from butcher back to the original farm.

Why This Matters for Uganda

Farm-to-fork traceability is essential for Uganda’s ambitions to export meat to premium markets. It also protects domestic consumers. When food safety incidents can be traced within hours, the entire population benefits. It also creates economic incentives for quality — consumers willing to pay a premium for verified meat send value back to farmers who maintain proper records.

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