The study aimed to forecast ammonia exposure risk in broiler chicken production, correlating it with health injuries using machine learning. Two chicken breeds, fast-growing (Ross) and slow-growing (Hubbard), were compared at different densities. Slow-growing birds had a constant density of 32 kg m, while fast-growing birds had low (16 kg m) and high (32 kg m) densities.
View Article and Find Full Text PDFAmmonia is an important pollutant emitted by broiler litter that can accumulate inside farms, impairing animal health and welfare productivity. An experiment was designed to evaluate of precision husbandry practices such as the effect of ventilation, animal density and growth rate as management options to reduce the adverse effects of ammonia exposure on productive parameters in broiler houses. Two identical experimental rooms were used in this study.
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