Poultry-CViTNet. A Hybrid ViT--CNN Network for Non-Invasive Poultry Health Monitoring Based on Fecal Images
The ablation study confirms that integrating local convolutional features with transformer-based global attention improves classification reliability, demonstrating the potential of the proposed framework as a non-invasive, low-cost, and scalable decision-support tool for early poultry disease screening in smart farmin...