肉牛全产业链AI决策:框架、技术与展望OA

Under the concept of the big food view,China's rigid demand for meat consumption continues to grow while exhibiting structural optimization,with beef emerging as a key source of high-quality animal protein.The decision-making level of the beef cattle industry critically influences its high-quality development.In the context of the digital economy,scientific decision-making across the beef cattle industry chain faces challenges such as highly fragmented data,insufficient systematic knowledge,and low decision intelligence.This paper proposed an artificial intelligent(AI)-driven decision-making framework for the beef cattle industry chain,centered on the integration of knowledge graphs and large language models,encompassing data fusion,knowledge integration,intelligent modeling,and scenario-based applications.Key technologies including multimodal data processing,knowledge graph construction,and intelligent reasoning with integrated large language models were summarized.Finally,the paper discussed future directions in 4 areas:intelligent sensing and precise prevention,cross-modal knowledge computing and reasoning,controllability and interpretability of large language models,and industrial collaboration with knowledge sharing-offering insights for transitioning industry decision-making from experience-driven to data-driven paradigms.