[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2108":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":23,"tags":25,"view_count":32,"doi":8,"paper":33,"created_at":42},2108,"《AI in Agriculture: Transforming the Food System from Data to Decisions to Action》 美国密西西比州立CAST论文","https:\u002F\u002Fpublications.cast-science.org\u002FCAST\u002Fen\u002Farticle\u002Fview\u002F245","密西西比州立大学农业自主研究所所长Thomasson发表CAST评论,系统论述AI正成为美国食物系统的基础技术,深度嵌入田间装备、生产系统、食物加工、供应链与自然资源管理。引入\"物理AI\"概念——能在生物变异性与环境不确定性下感知、推理、行动的AI系统,农业是其最严苛的试验场。生成式AI被视为让先进分析民主化的力量。约束AI负责任采用的核心不是技术,而是制度——数据质量、田间验证、推荐透明度、网络安全与互操作性。",null,"Council for Agricultural Science and Technology (CAST)","2026-09-08T00:00:00Z","论文",10,false,86,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},24,22,18,14,8,1,"CAST权威评论系统提出物理AI概念并指出制度而非技术是负责任采用的核心约束，观点新颖、信息增量大，值得进入每日精选。",[24],{"name":9,"url":6},[26,27,28,29,30,31],"智慧农业","农业人工智能","数据治理","食物系统","物理AI","生成式AI",0,{"doi":8,"openalex_id":8,"authors":34,"venue":8,"cited_by_count":32,"oa_url":8,"card":35,"direction":39,"ingested_from":41},[],{"tldr":36,"method":37,"finding":38,"direction":39,"opportunity":40},"系统论述AI正成为美国食物系统基础技术，提出物理AI概念并强调制度约束。","CAST评论文章，基于田间装备、供应链等应用场景的系统分析。","约束AI负责任采用的核心是制度而非技术，如数据质量与互操作性。","农业人工智能与决策模型","物理AI在生物变异与环境不确定性下的感知推理行动机制，及制度适配研究。","agent","2026-09-11T00:04:22.740798Z"]