Application of Different Rearing Modes on Growth Performance of Goslings in Cold Northern Regions Under the Background of Artificial Intelligence

Under the background of AI promoting precision livestock farming, this study compared the effects of fermentation bed and net bed systems on gosling rearing in cold northern regions using AI-based intelligent temperature monitoring. A total of 10,000 one-day-old "Dasanhua" goslings were divided into two groups (n=5,000/group) and reared for 28 days. An AI-driven wireless temperature sensing system enabled real-time, high-precision monitoring of environmental temperatures. Growth performance (ADG, ADFI, F/G, survival rate) and economic benefits were systematically evaluated. The AI system revealed significant temperature differences: the fermentation bed maintained a stable average temperature of 30.9±0.6°C (fluctuation range 2.1°C), staying within the optimal brooding range (28–32°C) for 98% of the time. In contrast, the net bed averaged 22.5±1.0°C with a wider fluctuation of 4.8°C, meeting optimal conditions only 72% of the time (P