A Checkpoint-Based Hybrid Transformer-CNN Framework for Early Prediction of Escherichia coli Infection Risk in Broiler Chickens
This study presents a checkpoint-based hybrid Transformer-CNN framework that fuses temporal flock monitoring data with poultry image analysis to achieve highly accurate, explainable early prediction of *Escherichia coli* infection risk in broiler chickens, thereby enabling proactive management and transparent decision-making in precision poultry farming.