中国农业科技导报2026，Vol.28Issue(4)：1-13,13.DOI:10.13304/j.nykjdb.2025.0453
肉牛全产业链AI决策:框架、技术与展望
AI-driven Decision-making in Beef Cattle Industry Chain:Framework,Technology and Prospect
摘要
Abstract
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.关键词
肉牛全产业链/多模态/知识图谱/大语言模型/智能决策Key words
beef cattle value chain/multimodal data/knowledge graph/large language models/intelligent decision-making分类
农业科技引用本文复制引用
张崧雪,孙伟,曹姗姗,刘振虎,马建奎,孔繁涛..肉牛全产业链AI决策:框架、技术与展望[J].中国农业科技导报,2026,28(4):1-13,13.基金项目
国家重点研发计划项目(2024YFD2000305) （2024YFD2000305）
吉林省重点研发项目(20240303079NC) （20240303079NC）
中国农业科学院科技创新工程项目(10-IAED-RC-09-2025). （10-IAED-RC-09-2025）
