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A new trial shows that a dynamic feed optimization model based on age‑weight curves significantly improves broiler production.
In a 35‑day test with 10,000 Ross 308 broilers, the model reduced feed waste from 8.2% to 2.2% (a 6% absolute cut), lowered feed conversion ratio (FCR) by 7.9%, and increased final body weight from 1.85 kg to 2.05 kg (+11.1%). Flock uniformity improved 12%, and mortality dropped by 3.8 percentage points.
Unlike fixed feeding, the model adjusts feed portions every 2–4 hours using weekly weight samples, real‑time algorithms, and high‑precision sensors (±1g). The system is ready for integration with automated feeders in commercial floor rearing farms.
This data‑driven approach reduces feed costs (60–70% of total production cost) and enhances flock health. It represents a practical step toward precision poultry farming.
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