B. Mupini

Early Escherichia coli prediction in broiler chickens

A checkpoint-based multimodal transformer-convolutional neural networks framework for early flock-level E. coli infection risk prediction using environmental, production, behavioural, and visual poultry data is proposed, demonstrating the potential of multimodal artificial intelligence (AI) for proactive poultry health monitoring.