CN CN122050106A
The invention provides an animal husbandry early warning system based on multi-mode perception and edge intelligence, and belongs to the technical field of animal husbandry intelligent monitoring. The system comprises a multi-mode sensing module, an edge intelligent processing module, an early warning decision and intervention module and a cloud platform management module. The multi-modal sensing module is used for collecting multi-dimensional physiological and behavior data such as acoustics, thermal imaging, odor molecules and micro-vibration of livestock; the edge intelligent processing module adopts a cross-modal space-time fusion algorithm and a lightweight model library to carry out local real-time analysis on the sensing data; the early warning decision module generates a three-level early warning signal based on the abnormal recognition result and is linked with the response device; and the cloud platform module is used for model updating, remote maintenance, data visualization and system management. The method has the advantages of fast early warning response, flexible deployment and adaptive evolution of the algorithm, the intelligence level and the operation and maintenance efficiency of livestock health management are remarkably improved, and the method is suitable for large-scale farms and multi-scene livestock application.
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