Design of Intelligent Layer Farming System Based on Internet of Things + Artificial Intelligence Technology

In view of the cumbersome and low efficiency of manual counting in current layer farming, this paper proposes an intelligent counting system based on Internet of Things and artificial intelligence technology. The system uses RFID technology combined with YOLO v5 image recognition algorithm and DeepSort target tracking algorithm to achieve fast and accurate statistics of egg numbers and real-time monitoring of layer health. The timely feedback of real-time dynamic information optimizes feeding management, improves farming efficiency and reduces production costs.