نقش هوش مصنوعی در صنعت طیور

Poultry industry is one of the fastest-growing sectors of agriculture, providing a major source of affordable protein to billions of people worldwide. However, the sector faces constant challenges, including disease outbreaks, feed cost fluctuations, environmental concerns, and the need for efficient resource management. In recent years, Artificial Intelligence (AI) has emerged as a promising tool to address these challenges and transform poultry production. AI technologies, such as machine learning, computer vision, and predictive analytics, are increasingly being applied in modern poultry farms. For example, computer vision systems can monitor bird behavior, detect early signs of illness, or identify abnormal movements that may indicate health or welfare issues. Similarly, AI-driven sensors can optimize feeding and watering systems by providing real-time data on bird growth, feed conversion, and environmental conditions. This leads to more precise resource utilization, reducing costs and improving sustainability. Another major contribution of AI is in disease prediction and control. By analyzing large datasets—including vaccination records, climate conditions, and bird performance—AI models can forecast the risk of outbreaks such as avian influenza or Newcastle disease. Early warning allows farmers to act quickly, minimizing economic losses and improving animal health. AI also supports decision-making across the supply chain, from hatchery to processing plant. Algorithms can optimize logistics, reduce waste, and even forecast consumer demand with greater accuracy. In this way, AI not only improves productivity but also strengthens food security. The integration of AI into the poultry industry is still at an early stage, but its potential is immense. By combining technology with traditional expertise, poultry farmers can achieve healthier flocks, more sustainable operations, and a stronger contribution to global food systems. The future of poultry production will undoubtedly be more intelligent, data-driven, and resilient.