[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4387":3,"related-4387":80},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":75,"slug":78,"view_count":22,"doi":8,"paper":8,"created_at":79},4387,"全国畜牧兽医「十五五」规划部署畜禽粪污处理利用与人工智能运用","https:\u002F\u002Fgu.qq.com\u002Fresources\u002Fshy\u002Fnews\u002Fdetail-v2\u002Findex.html?_tentrees_trans=0&id=SN20260929115344b63ffa8d","《全国畜牧兽医行业发展「十五五」规划》共部署 5 方面重点任务,其中第四方面「促进产业绿色安全发展」提出全面提升养殖产品质量安全水平、规范畜禽屠宰行业管理、推进畜禽粪污处理利用;第五方面「强化科技装备支撑」强调强化科技创新和成果转化推广、全面推行养殖业节粮、加快推进人工智能运用和智慧畜牧业发展。",null,"风吹散了这一页，去看看新故事吧\n\n 今日资讯热榜 \n\n 1  假期十大消息|财政部重磅发声；恒生科技指数将把成份股扩充至50只 \n\n 2  美股收评|债市风暴重燃，三大指数集体收跌，标普、纳指自历史高位小幅回落 \n\n 3  夜读|告别情绪交易，把直觉决策换成规则交易 \n\n风吹散了这一页，去看看新故事吧\n\n 今日资讯热榜 \n\n 1  假期十大消息|财政部重磅发声；恒生科技指数将把成份股扩充至50只 \n\n 2  美股收评|债市风暴重燃，三大指数集体收跌，标普、纳指自历史高位小幅回落 \n\n 3  夜读|告别情绪交易，把直觉决策换成规则交易","农业农村部 腾讯证券 2026-09-29","2026-09-29T00:00:00Z","政策",10,false,58,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},26,8,6,14,4,1,"全国性畜牧兽医十五五规划部署粪污处理与AI应用，层级高但正文缺失、信息增量有限且已过时效。",[25],{"name":10,"url":6},[27,28,29,30,31],"农业人工智能","十五五规划","畜禽粪污","绿色养殖","智慧畜牧",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"C6","smart-livestock","养殖环境与智慧畜牧","\u002Ftopic\u002Flivestock\u002Fsmart-livestock","C",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,53,58,65,70],{"code":37,"score":46,"supported":47,"title":48,"abstract":51,"tags":52},22,true,[49,50],"畜牧","畜禽",[49,50],[],{"code":33,"score":54,"supported":47,"title":55,"abstract":56,"tags":57},17,[29],[31,29],[31,29,30],{"code":59,"score":60,"supported":47,"title":61,"abstract":62,"tags":64},"G1",3,[],[63],"成果转化",[],{"code":66,"score":22,"supported":14,"title":67,"abstract":68,"tags":69},"I2",[],[],[27],{"code":71,"score":22,"supported":14,"title":72,"abstract":73,"tags":74},"J1",[],[],[28],[76,77],"畜牧兽医 十五五规划","畜禽粪污 资源化利用","畜牧兽医十五五规划-4387","2026-10-08T00:06:07.462630Z",{"total":19,"page":22,"page_size":19,"items":81},[82,149,225,280,347,413],{"id":83,"title":84,"url":85,"summary":86,"summary_zh":8,"content":87,"source_name":88,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":89,"is_selected":47,"score":90,"score_detail":91,"sources":97,"tags":105,"primary_topic":109,"secondary_topics":110,"classification":111,"search_phrases":144,"slug":147,"view_count":60,"doi":8,"paper":8,"created_at":148},3927,"农业农村部印发《全国畜牧兽医行业发展\"十五五\"规划》","https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fart\u002F2026\u002F9\u002F30\u002Fart_9391_2706676.html","规划部署了5方面重点任务：强化产业发展综合调控、推动产业提质增效、提升动物疫病风险防控效能、促进产业绿色安全发展、强化科技装备支撑；其中明确提出强化科技创新和成果转化推广、全面推行养殖业节粮、加快推进人工智能运用和智慧畜牧业发展。规划还部署\"生猪产能常态化精准调控\"\"畜牧业提质增效\"\"动物疫病风险防控\"等专栏，明确区域布局，细化任务措施。","今天是 2026年10月2日 星期五[简体](javascript:zh_tran('n');)[繁体](javascript:zh_tran('t');)[无障碍阅读](javascript:;)\n\n![Image 1](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fpicture\u002F0\u002F2105191407404717973.png)\n\n[首页](https:\u002F\u002Fxmsyj.jining.gov.cn\u002F)[济宁畜牧](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9358\u002Findex.html)[政务公开](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9359\u002Findex.html)[互动交流](http:\u002F\u002Fwww.jining.gov.cn\u002Fjact\u002Ffront\u002Fmailwrite.do?sysid=1)[办事服务](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9361\u002Findex.html)[行业动态](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9362\u002Findex.html)[畜牧科技](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9363\u002Findex.html)\n\n![Image 2](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fimages\u002F510\u002Fsdxm_dishi_pic_tywzy.jpg)当前位置：[首页](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Findex.html)>[政务公开](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9359\u002Findex.html)>[工作动态](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9386\u002Findex.html)>[政务动态](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9391\u002Findex.html)\n\n推进畜牧业提质增效 加快构建高质量发展新格局——农业农村部畜牧兽医局负责人就《全国畜牧兽医行业发展“十五五”规划》答记者问 * * * 发布日期：2026-09-30 16:32:45 来源： 农业农村部新闻办公室 字号：[ [大](javascript:doZoom(16))[中](javascript:doZoom(14))[小](javascript:doZoom(12)) ][![Image 3](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fpicture\u002F0\u002F1711081543339464232.png)](javascript:void(0)) 近期，农业农村部印发《全国畜牧兽医行业发展“十五五”规划》（以下简称《规划》）。日前，农业农村部畜牧兽医局负责人就《规划》有关情况回答了记者提问。 **问：《规划》出台有什么背景考虑？** 答：现代畜牧业是践行大食物观、构建多元化食物供给体系的战略产业，是农业农村经济的支柱产业。“十四五”时期，现代畜牧业建设取得新成效。畜禽产品综合生产能力跃上新台阶。2025年，我国肉蛋奶总产量超过1.75亿吨，连续3年保持在1.7亿吨以上，其中肉类总产量首次突破1亿吨。以规模养殖为主体的现代生产方式基本形成。全国畜禽养殖规模化率达到76.9%，带动先进适用技术和装备广泛应用，畜牧业科技贡献率达到70%，畜禽粪污综合利用率超过80%。重大动物疫病防控能力逐步增强。非洲猪瘟等重大动物疫病得到有效防控，养殖环节整体生物安全防护水平大幅提升，动物疫情总体平稳可控。现代产业体系趋于完备。构建了饲草料、兽药、种畜禽生产以及设施装备、销售流通、屠宰加工等相配套的产业体系。工业饲料产量连续15年位居世界第一；国产种源市场占有率超过80%。产业调控管理体系进一步健全。畜禽产品质量安全保持较高水平，抽检合格率稳定在99%以上；产能综合调控机制和政策制度体系逐步完善。畜牧业高质量发展基础不断夯实，但也面临着畜禽产品供需形势发生变化、产业结构不够合理、疫情风险长期存在等挑战，还存在优质饲草料供应短缺、绿色发展不充分、优质特色产品供给不足、种业创新推广有差距等短板，亟需加快转型升级步伐，构建高质量发展新格局。 党中央、国务院高度重视畜牧兽医工作。《中华人民共和国国民经济和社会发展第十五个五年规划纲要》和《加快农业农村现代化“十五五”规划》均对畜牧兽医工作作出部署安排。2026年中央政治局会议两次对稳定生猪等农畜产品生产和价格提出明确要求。农业农村部贯彻落实党中央、国务院决策部署，立足新阶段、适应新形势，在深入调查研究、广泛征求意见的基础上，制定印发《规划》，旨在明确发展思路、总体目标、重点任务，引导行业准确把握发展方向，凝心聚力共同推进畜牧业高质量发展。 **问：《规划》的总体思路目标是什么？** 答：《规划》坚持以习近平新时代中国特色社会主义思想为指导，深入贯彻落实党的二十大和二十届历次全会精神，认真落实四中全会部署，全面贯彻习近平总书记关于“三农”工作的重要论述和重要指示精神，完整准确全面贯彻新发展理念，坚持稳中求进工作总基调，树立和践行大食物观，以稳产、提质、增效为目标，统筹发展和安全，坚持产量产能、生产生态、增产增收一起抓，促进全产业链提档升级，加快构建供需动态适配、规模结构合理、产业链协同提升、环境资源可持续的畜牧业高质量发展新格局。 《规划》明确提出，到2030年，畜牧业高质量发展迈上新台阶，主要畜禽产品稳定安全供给更有保障，产业素质提升更有质量。综合生产能力进一步巩固，产品结构持续优化，优质特色畜产品供应更加丰富，养殖规模化、设施化水平稳步提升，科技支撑作用进一步增强。规模结构和产业生态更加优化，大型企业联农带农作用进一步强化，利益分配机制逐步完善，上下游产业生态更加协同，中小养殖场户发展质量明显提升。重大动物疫病得到有效防控，种畜禽疫病净化取得积极成效，人畜共患病风险稳步降低，兽医公共卫生安全水平进一步提高。畜禽产品质量安全保持更高水平，单位畜禽产品使用兽用抗菌药数量总体下降。绿色转型取得新成效，畜禽粪污资源化利用水平持续提升，种养结合农牧循环格局基本形成。 **问：《规划》在具体发展目标设定上有哪些考虑？** 答：兼顾前瞻性和可行性，《规划》提出15项定量目标，包括肉类总产量、禽蛋产量、奶类产量、工业饲料总产量、饲草总产量等5项产量指标，畜禽养殖规模化率、国产种源市场占有率、科技进步贡献率、畜禽粪污综合利用率、畜禽产品抽检合格率等5项产业综合素质指标，新兽药产品注册数量、跨省调运畜禽落地报告率、执业兽医数量、规模以上生猪屠宰厂（场）数量占比以及动物疫病净化场、无疫小区、无疫区数量等5项专项领域发展指标，综合反映了畜牧兽医行业各个领域和环节的发展需要，在稳定生产基础上，突出了提质增效、优化结构等目标取向。其中，肉类总产量指标未设定增量目标，主要考虑是适应生猪综合生产能力快速提升、猪肉消费基本达峰的供需新形势，落实生猪产能综合调控要求，引导生猪产业由数量增长转向高质量发展。 **问：《规划》部署了哪些重点任务？** 答：《规划》着眼构建高质量发展新格局，坚持发展生产和优化结构相结合，着力防风险、固安全、增绿色，共部署了5方面重点任务。一是强化产业发展综合调控。建立健全产业综合调控机制，规范引导大型养殖企业有序发展，推动中小养殖场户融入现代生产体系。二是推动产业提质增效。稳定大宗畜禽产品生产，培育推广优良畜禽品种，发展优质特色畜禽产业，发展壮大饲草产业，提升畜禽产品加工流通水平，加强畜牧业品牌建设。三是提升动物疫病风险防控效能。强化重大动物疫病防控，加快推进重点动物疫病净化，增强动物检疫监管能力，加强动物诊疗管理。四是促进产业绿色安全发展。全面提升养殖产品质量安全水平，规范畜禽屠宰行业发展，推进畜禽粪污处理利用，防范安全生产风险。五是强化科技装备支撑。强化科技创新和成果转化推广，全面推行养殖业节粮，加快推进人工智能运用和智慧畜牧业发展。 **问：如何保障《规划》落实落地？** 答：结合重大工程项目和重点工作计划，《规划》设置了“生猪产能常态化精准调控”、“畜牧业提质增效”、“动物疫病风险防控”等专栏，明确区域布局，细化任务措施，量化任务目标，确保《规划》可落实、见实效。 同时，《规划》还提出了4项保障措施。一是强化责任落实。推动落实地方各级人民政府、行业管理部门、生产经营主体责任，引导加强行业自律。二是加强法治保障。健全畜牧兽医领域法律法规体系，完善相关配套规章制度及技术标准体系，完善基层综合执法工作机制。三是强化政策协同。强化产业政策、环保监管、产能调控等政策的协同联动，推动完善部门工作机制。加强项目资金全过程监管。四是加强人才队伍建设。加强基层动物防疫和畜牧技术推广队伍建设，强化官方兽医队伍管理，开展执业兽医和乡村兽医继续教育，发挥畜牧业产业技术体系作用，打造高素质专业队伍。 [【复制链接】](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fart\u002F2026\u002F9\u002F30\u002Fart_9391_2706676.html#)[【打印本页】](javascript:window.print())[【关闭窗口】](javascript:window.close()) 如果您认为本网转载的内容涉及侵权，请作品的作者尽快与我们联系。电话：0537-2966776，如转载本网内容请注明。\n\n[关于我们](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9428\u002Findex.html) |[联系我们](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9429\u002Findex.html) |[版权声明](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9431\u002Findex.html) |[网站地图](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9450\u002Findex.html) |\n\n[![Image 4](https:\u002F\u002Fdcs.conac.cn\u002Fimage\u002Fblue.png)](https:\u002F\u002Fbszs.conac.cn\u002Fsitename?method=show&id=64211F07810FDB09E053022E1AAC770C)版权所有：济宁市畜牧兽医事业发展中心 电话：0537-2966776 邮箱：xmjbgs@ji.shandong.cn 地址：山东省济宁市太白湖新区省运会指挥中心F区0303室 网站标识码：3708000070 [网站地图](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fcol\u002Fcol9450\u002Findex.html) [鲁ICP备05021223号](https:\u002F\u002Fbeian.miit.gov.cn\u002F)[![Image 5](https:\u002F\u002Fxmsyj.jining.gov.cn\u002Fpicture\u002F0\u002F1801231116515936459.png)鲁公网安备 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2026-10-06","https:\u002F\u002Fwww.jingjiribao.cn\u002Fstatic\u002Fdetail.jsp?id=687271",[28,106,107,30,31,108],"畜牧业","动物疫病防控","畜禽种业",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":112},{"candidates":113,"agricultural_evidence":47},[114,119,124,130,136,140],{"code":37,"score":115,"supported":47,"title":116,"abstract":117,"tags":118},12,[49],[49],[106],{"code":33,"score":120,"supported":47,"title":121,"abstract":122,"tags":123},5,[],[31],[31,30],{"code":125,"score":21,"supported":47,"title":126,"abstract":127,"tags":129},"C5",[],[128],"动物疫病",[107],{"code":131,"score":60,"supported":47,"title":132,"abstract":133,"tags":135},"C1",[],[134],"生猪",[],{"code":59,"score":60,"supported":47,"title":137,"abstract":138,"tags":139},[],[63],[],{"code":71,"score":22,"supported":14,"title":141,"abstract":142,"tags":143},[],[],[28],[145,146],"农业农村部 畜牧兽医局 答记者问","动物疫病防控 十五五规划 智慧畜牧 畜禽种业","农业农村部畜牧兽医局答记者问-3927","2026-10-02T11:53:08.773753Z",{"id":150,"title":151,"url":152,"summary":153,"summary_zh":154,"content":8,"source_name":155,"source_url":152,"published_at":156,"category":157,"cover_url":8,"hotness":13,"is_selected":14,"score":158,"score_detail":159,"sources":162,"tags":164,"primary_topic":169,"secondary_topics":170,"classification":176,"search_phrases":201,"slug":204,"view_count":22,"doi":205,"paper":206,"created_at":224},4426,"Animal welfare in the world of digitalization: Computer Vision in the context of foundational structures","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs43681-026-01417-4","Abstract Computer Vision is an emerging technology within Precision Livestock Farming (PLF), combining camera systems with artificial intelligence to monitor animal welfare. While animal ethicists recognize its potential benefits, they also raise concerns about possible negative implications for animal welfare. This paper argues that addressing ethical concerns cannot rely on solutions targeting isolated ethical risks; rather, potential solutions must account for the technology’s embeddedness within society-wide structures. The focus in this paper will be on foundational structures, these structures concern how the world is experienced and understood, what is taken as self-evident. Over centuries, humans have increasingly delegated tasks to machines and standardized the world in doing so. This process has fostered growing trust in the outcomes of (digital) technologies. These developments have changed human experience and understanding of the world in various ways. Farmers, as members of society, are unlikely to be exempt from this trend. Therefore, reflection on Computer Vision must go beyond the farming practice and take into account these foundational structures that are currently reshaping society at large. Computer Vision examined as embedded within foundational structures demonstrates that ethical issues are also embedded within these structures, consequently, potential solutions must take account of them to increase their effectiveness.","摘要 计算机视觉是精准畜牧业（PLF）中的一项新兴技术，它将摄像系统与人工智能相结合，以监测动物福利。尽管动物伦理学家认可其潜在益处，但也对其可能给动物福利带来的负面影响表示担忧。本文认为，解决伦理关切不能依赖于针对孤立伦理风险的方案；相反，潜在的解决方案必须考虑到该技术嵌入于全社会结构之中的事实。本文的关注重点将是基础性结构，这些结构关乎世界如何被体验和理解，以及什么被视为不言自明。几个世纪以来，人类越来越多地将任务委托给机器，并在此过程中使世界标准化。这一进程培育了人们对（数字）技术产物的日益信任。这些发展以多种方式改变了人类对世界的体验和理解。农民作为社会成员，不太可能置身于这一趋势之外。因此，对计算机视觉的反思必须超越养殖实践，并考虑到这些当前正在重塑整个社会的基础性结构。将计算机视觉置于基础性结构中加以审视表明，伦理问题同样嵌入于这些结构之中，因此，潜在的解决方案必须将其纳入考量，以提高其有效性。","AI and Ethics","2026-10-06T00:00:00Z","论文",72,{"impact":115,"substance":160,"depth":94,"authority":20,"freshness":18,"relevant":22,"comment":161},20,"从社会基础结构层面反思计算机视觉在精准畜牧中的伦理嵌入，视角新颖、论证扎实，对智慧农业伦理治理有参考价值。",[163],{"name":155,"url":152},[165,27,166,167,168],"智慧农业","计算机视觉","动物福利","精准畜牧",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[171],{"code":66,"slug":172,"name":173,"path":174,"parent_code":175},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":40,"locked":14,"version":41,"method":42,"evidence":177},{"candidates":178,"agricultural_evidence":47},[179,185,191,196],{"code":33,"score":180,"supported":47,"title":181,"abstract":183,"tags":184},19,[182],"animal welfare",[168,167,182],[167,168],{"code":66,"score":180,"supported":47,"title":186,"abstract":188,"tags":190},[187],"computer vision",[166,189,187],"artificial intelligence",[27,166],{"code":37,"score":19,"supported":47,"title":192,"abstract":193,"tags":195},[],[49,194],"livestock",[],{"code":197,"score":22,"supported":14,"title":198,"abstract":199,"tags":200},"I1",[],[],[165],[202,203],"计算机视觉 精准畜牧 动物福利","农业人工智能 计算机视觉 动物福利 智慧农业","计算机视觉精准畜牧动物福利-4426","10.1007\u002Fs43681-026-01417-4",{"doi":205,"openalex_id":207,"authors":208,"venue":155,"cited_by_count":215,"oa_url":216,"card":217,"direction":221,"ingested_from":223},"W7220695950",[209,212],{"name":210,"orcid":211},"Mariska Thalitha Bosschaert","https:\u002F\u002Forcid.org\u002F0000-0002-9160-7638",{"name":213,"orcid":214},"Bart Gremmen","https:\u002F\u002Forcid.org\u002F0000-0002-9652-6407",0,"https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs43681-026-01417-4.pdf",{"tldr":218,"method":219,"finding":220,"direction":221,"opportunity":222},"论文论证计算机视觉用于动物福利时，伦理问题须置于社会基础结构中理解。","概念分析与伦理反思，结合精准畜牧中计算机视觉技术。","伦理问题嵌入社会基础结构，孤立风险方案无效，需整体考量。","智慧农业 \u002F 农业物联网","可实证研究农民对计算机视觉的信任如何受社会基础结构影响，并设计嵌入伦理的监测系统。","openalex","2026-10-08T23:30:12.350082Z",{"id":226,"title":227,"url":228,"summary":229,"summary_zh":8,"content":230,"source_name":231,"source_url":8,"published_at":156,"category":232,"cover_url":8,"hotness":13,"is_selected":14,"score":233,"score_detail":234,"sources":237,"tags":239,"primary_topic":244,"secondary_topics":245,"classification":246,"search_phrases":275,"slug":278,"view_count":215,"doi":8,"paper":8,"created_at":279},4381,"数字赋能传统牧业 黑龙江林甸打造智慧畜牧高质量发展新样板","http:\u002F\u002Fwww.hlj.xinhuanet.com\u002F20261006\u002Fb85b3ee101f4435d85eac39d69ce98d2\u002Fc.html","大庆市林甸县聚焦奶牛产业,搭建全域奶牛产业大数据平台,覆盖 17 处规模牧场、5.9 万头奶牛,集成 DWeb\u002FDFeed\u002FDCalf\u002FDSmart 四大智能系统,实现良种覆盖率 100%、犊牛成活率稳定 99%、奶牛空怀率下降,推动当地奶业由粗放规模型向智能精细、绿色高效转型,日均商品奶超千吨,稳居全国县域前列。","  大庆市林甸县是黑龙江省内重点畜牧县域、全国优质奶源核心产区。当地立足寒地牧业优势，抢抓数字农业机遇，以大数据、物联网技术赋能传统养殖，通过搭建智慧平台、升级智能系统、完善配套服务，推动畜牧业由粗放规模型向智能精细、绿色高效转型，打造现代农业发展新样板。\n\n  畜牧业是林甸支柱富民产业，规模优势显著。全县现有规模化奶牛牧场32处，含3处万头牧场、8处中型牧场，奶牛存栏超10万头，日均产商品奶超千吨，生鲜乳产能稳居全国县域前列。针对传统养殖管理粗放、效率不高、风险难控等短板，林甸将奶业数字化转型列为重点工程，全面推进牧场智能升级，构建全流程数字化管控体系。\n\n  当地建成全域奶牛产业大数据平台，实现重点牧场数字化全覆盖。目前平台覆盖17处规模牧场、5.9万头奶牛，累计归集数千万条养殖、生产、防疫、环境数据，打通政企数据壁垒，实现监管、生产、决策数据协同。依托物联网智能设备，养殖全过程可自动采集、实时分析、智能预警，形成精准高效的数字化治理模式。\n\n  依托四大智能系统，林甸建成全链条精准养殖体系。DWeb系统为奶牛建立专属数字档案，实现良种覆盖率100%；DFeed系统依托大数据智能配比日粮，降低饲料损耗、节约养殖成本；DCalf系统精准培育犊牛，县域犊牛成活率稳定达99%；DSmart系统依托电子耳标实现牛只精准溯源，有效提升管理精度与效率。\n\n  数字化转型持续释放降本提质增效红利。智能设备替代传统人工巡查统计，大幅精简人力投入；通过监测牛只体征、活动数据，可提前预判疫病风险、及时处置，筑牢养殖安全底线。智能发情识别、标准化电子系谱，有效降低奶牛空怀率、提升繁育质量，助力牧场实现人力精简、效益提升。\n\n  为护航智慧畜牧发展，林甸县同步搭建全方位服务体系。县域组建专项服务专班，常态化驻场指导解决养殖、防疫、繁育难题；深化与省内农业高校校地合作，推动先进养殖技术落地转化，常态化开展技能培训，持续提升从业人员数字化、标准化养殖水平。\n\n  下一步，林甸县将持续迭代升级智慧畜牧体系，完善数据标准与产业数据库，优化AI分析、疫病预警、品质追溯等功能，搭建生鲜乳全链条溯源体系。持续打通政企数据链路，构建协同高效的数字畜牧发展格局，擦亮优质奶源品牌，以智慧牧业赋能乡村振兴和县域高质量发展。","新华网黑龙江频道 2026-10-06","报道",71,{"impact":94,"substance":180,"depth":235,"authority":115,"freshness":95,"relevant":22,"comment":236},15,"县域奶业数字化转型的实质案例，数据与系统细节充分，具行业示范价值。",[238],{"name":231,"url":228},[240,241,31,242,243],"数字乡村","农业物联网","奶业数字化","奶牛大数据",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":247},{"candidates":248,"agricultural_evidence":47},[249,254,258,265,270],{"code":33,"score":250,"supported":47,"title":251,"abstract":252,"tags":253},9,[31],[],[31],{"code":37,"score":18,"supported":47,"title":255,"abstract":256,"tags":257},[49],[],[],{"code":259,"score":19,"supported":47,"title":260,"abstract":261,"tags":264},"C2",[],[262,263],"奶牛","奶业",[],{"code":266,"score":22,"supported":14,"title":267,"abstract":268,"tags":269},"I5",[],[],[241],{"code":271,"score":22,"supported":14,"title":272,"abstract":273,"tags":274},"I6",[],[],[240],[276,277],"林甸 智慧畜牧 奶牛","黑龙江 奶业数字化 大数据平台","林甸智慧畜牧奶牛-4381","2026-10-08T00:06:06.982819Z",{"id":281,"title":282,"url":283,"summary":284,"summary_zh":285,"content":8,"source_name":286,"source_url":283,"published_at":287,"category":157,"cover_url":8,"hotness":13,"is_selected":14,"score":288,"score_detail":289,"sources":291,"tags":293,"primary_topic":296,"secondary_topics":297,"classification":299,"search_phrases":327,"slug":330,"view_count":120,"doi":331,"paper":332,"created_at":346},2746,"Fostering artificial intelligence in the livestock sector: Adoption factors and policy insights from the case of Spain","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104956","CONTEXT AND PURPOSE The integration of Artificial Intelligence (AI) and Precision Livestock Farming (PLF) offers significant opportunities to improve the productivity, animal welfare and sustainability of the livestock sector. However, the adoption of these technologies remains highly uneven. Moving beyond descriptive statistics, this study investigates the complex, interacting factors associated with AI adoption in the Spanish livestock sector. METHODOLOGY Utilising a survey-based sample of 666 Spanish livestock holdings, drawn from a national survey whose sampling was designed to be proportional to the 2020 Agricultural Census by subsector and region, a Partial Least Squares Structural Equation Modelling (PLS-SEM) approach was employed to evaluate a comprehensive adoption framework across different farming systems and operational scales. AI adoption was modelled as a formative composite of five self-reported AI system categories, and the framework was tested through mediation, moderation, subgroup and out-of-sample predictive analyses with a 10,000-resample bootstrap. MAIN FINDINGS The empirical results indicate that AI adoption is most strongly associated with a holding's baseline technological infrastructure (β = 0.6464, p \u003C 0.001); advanced predictive tools appear to presuppose a pre-existing ecosystem of digital farm books, automated feeding systems and interoperable sensors. A ‘perception-capability gap’ is formally supported: perceived benefits are associated with adoption only indirectly, through the infrastructure baseline (indirect-only mediation), and their association strengthens as infrastructure increases (positive interaction). Recognition of AI's theoretical benefits or awareness of public subsidies is thus not independently associated with adoption in the absence of foundational digital capability. Furthermore, the study identifies a stark structural divide: adoption reaches 56.3% in intensive and semi-intensive holdings but only 24.4% in extensive ones (χ2 = 57.61, p \u003C 0.001), as traditional extensive systems face severe physical and connectivity barriers that leave them systematically disadvantaged. Results are robust across reflective, count, reduced-indicator and logistic specifications, and the model shows substantial out-of-sample predictive power (Q 2 predict ≈ 0.53). CONCLUSIONS To facilitate a more inclusive digital transformation, the findings suggest that policymakers should adopt a ‘readiness-conditional’ model, ensuring farms meet baseline digital prerequisites and have access to robust extension services before subsidising advanced AI tools.","背景与目的 人工智能（Artificial Intelligence, AI）与精准畜牧业（Precision Livestock Farming, PLF）的融合为提升畜牧部门的生产力、动物福利和可持续性提供了重要机遇。然而，这些技术的采用仍然极不均衡。本研究超越描述性统计，探讨了西班牙畜牧部门中与AI采用相关的复杂交互因素。方法 基于一项全国性调查中抽取的666个西班牙畜牧养殖场的样本（该调查的抽样设计按2020年农业普查的子部门和地区比例进行），采用偏最小二乘结构方程模型（Partial Least Squares Structural Equation Modelling, PLS-SEM）方法，评估了一个跨不同养殖系统和经营规模的综合采用框架。AI采用被建模为五个自我报告的AI系统类别的形成性复合变量，并通过中介、调节、子组和样本外预测分析（10,000次重抽样自助法）对框架进行了检验。主要发现 实证结果表明，AI采用与养殖场的基线技术基础设施关联最为密切（β = 0.6464，p \u003C 0.001）；先进的预测工具似乎以已有的数字牧场记录、自动化饲喂系统和可互操作传感器生态系统为前提。“感知—能力差距”得到正式支持：感知收益仅通过基础设施基线间接与采用相关（仅间接中介），且其关联随基础设施的增加而增强（正向交互）。因此，在缺乏基础数字能力的情况下，对AI理论效益的认可或对公共补贴的知晓与采用并无独立关联。此外，研究识别出一条鲜明的结构性分界线：集约化和半集约化养殖场的采用率达到56.3%，而粗放型养殖场仅为24.4%（χ2 = 57.61，p \u003C 0.001），因为传统粗放型系统面临严重的物理和连接障碍，使其处于系统性劣势。结果在反映性、计数、简化指标和逻辑斯谛设定下均稳健，且模型显示出显著的样本外预测能力（Q 2 predict ≈ 0.53）。结论 为促进更具包容性的数字化转型，研究结果表明政策制定者应采取“就绪条件”模型，确保养殖场","Agricultural Systems","2026-09-16T00:00:00Z",81,{"impact":94,"substance":46,"depth":94,"authority":20,"freshness":250,"relevant":22,"comment":290},"基于666个西班牙牧场样本的实证研究，揭示AI采纳受数字基础设施制约的“感知—能力鸿沟”，并提出“就绪条件式”补贴政策思路，对智慧畜牧推广与数字乡村政策设计有参考价值。",[292],{"name":286,"url":283},[165,27,294,295,168],"数字素养","农业补贴",{"code":66,"slug":172,"name":173,"path":174,"parent_code":175},[298],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":300},{"candidates":301,"agricultural_evidence":47},[302,306,310,314,319,323],{"code":37,"score":20,"supported":47,"title":303,"abstract":304,"tags":305},[194],[49,194],[],{"code":66,"score":115,"supported":47,"title":307,"abstract":308,"tags":309},[189],[189],[27],{"code":33,"score":13,"supported":47,"title":311,"abstract":312,"tags":313},[],[168,167,182],[168],{"code":315,"score":22,"supported":14,"title":316,"abstract":317,"tags":318},"G3",[],[],[295],{"code":197,"score":22,"supported":14,"title":320,"abstract":321,"tags":322},[],[],[165],{"code":271,"score":22,"supported":14,"title":324,"abstract":325,"tags":326},[],[],[294],[328,329],"农业人工智能 农业补贴 数字素养 智慧农业","农业人工智能 农业补贴","农业人工智能农业补贴数字素养智慧农业-2746","10.1016\u002Fj.agsy.2026.104956",{"doi":331,"openalex_id":333,"authors":334,"venue":286,"cited_by_count":215,"oa_url":283,"card":340,"direction":344,"ingested_from":223},"W7213425399",[335,337],{"name":336,"orcid":8},"Carlos Parra-Lopez",{"name":338,"orcid":339},"Carmen Carmona‐Torres","https:\u002F\u002Forcid.org\u002F0000-0002-6982-1363",{"tldr":341,"method":342,"finding":343,"direction":344,"opportunity":345},"基于西班牙666家养殖场调查，用PLS-SEM分析AI采纳的影响因素与政策启示。","666份养殖场问卷，PLS-SEM建模，含中介、调节与分组分析。","AI采纳最依赖既有数字基础设施；感知收益仅间接起作用，集约场采纳率远高于粗放场。","数字乡村与农业信息化","可研究粗放养殖场数字基础设施与连接性短板，设计‘就绪度条件’式推广与补贴机制。","2026-09-17T23:30:04.844104Z",{"id":348,"title":349,"url":350,"summary":351,"summary_zh":352,"content":8,"source_name":353,"source_url":350,"published_at":354,"category":157,"cover_url":8,"hotness":13,"is_selected":14,"score":355,"score_detail":356,"sources":358,"tags":360,"primary_topic":363,"secondary_topics":364,"classification":366,"search_phrases":381,"slug":384,"view_count":60,"doi":385,"paper":386,"created_at":412},2015,"Mitigating artificial intelligence-related animal welfare risks in animal farming","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compag.2026.112408","Mitigating artificial intelligence-related animal welfare risks in animal farming。Computers and Electronics in Agriculture","减轻畜牧业中与人工智能相关的动物福利风险。《计算机与电子农业》","Computers and Electronics in Agriculture","2026-09-10T00:00:00Z",79,{"impact":94,"substance":160,"depth":54,"authority":20,"freshness":13,"relevant":22,"comment":357},"核心期刊新论文，聚焦AI在畜牧养殖中的动物福利风险与缓解路径，属智慧养殖前沿议题，具行业参考价值。",[359],{"name":353,"url":350},[27,361,362,167],"智慧养殖","风险治理",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[365],{"code":66,"slug":172,"name":173,"path":174,"parent_code":175},{"status":40,"locked":14,"version":41,"method":42,"evidence":367},{"candidates":368,"agricultural_evidence":47},[369,373,377],{"code":33,"score":235,"supported":47,"title":370,"abstract":371,"tags":372},[182],[167,182],[167],{"code":66,"score":115,"supported":47,"title":374,"abstract":375,"tags":376},[189],[189],[27],{"code":37,"score":60,"supported":47,"title":378,"abstract":379,"tags":380},[],[49],[],[382,383],"农业人工智能 动物福利 智慧养殖 风险治理","农业人工智能 动物福利","农业人工智能动物福利智慧养殖风险治理-2015","10.1016\u002Fj.compag.2026.112408",{"doi":385,"openalex_id":387,"authors":388,"venue":353,"cited_by_count":215,"oa_url":350,"card":407,"direction":221,"ingested_from":223},"W7211988489",[389,392,394,396,398,400,402,404],{"name":390,"orcid":391},"Joshua Jarvis‐Campbell","https:\u002F\u002Forcid.org\u002F0009-0008-7307-703X",{"name":393,"orcid":8},"Marina A.G. von Keyserlingk",{"name":395,"orcid":8},"Albert Didriksen",{"name":397,"orcid":8},"Maximus Rafla",{"name":399,"orcid":8},"Carmen Lopez",{"name":401,"orcid":8},"Jack Zhu",{"name":403,"orcid":8},"Alistair Bugg",{"name":405,"orcid":406},"Borbala Foris","https:\u002F\u002Forcid.org\u002F0000-0002-0901-3057",{"tldr":408,"method":409,"finding":410,"direction":221,"opportunity":411},"探讨如何缓解动物养殖中人工智能应用带来的动物福利风险。","综述分析AI在养殖中的福利风险与缓解策略。","需建立伦理框架与技术措施以降低AI对动物福利的负面影响。","可研究AI养殖中动物福利风险的量化评估与实时监测预警系统。","2026-09-10T23:30:01.332132Z",{"id":414,"title":415,"url":416,"summary":417,"summary_zh":8,"content":418,"source_name":419,"source_url":8,"published_at":420,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":421,"score_detail":422,"sources":425,"tags":427,"primary_topic":431,"secondary_topics":432,"classification":433,"search_phrases":448,"slug":451,"view_count":21,"doi":8,"paper":8,"created_at":452},425,"农业农村部畜牧兽医局部署汛期动物防疫和畜禽粪污处理安全生产工作","https:\u002F\u002Fnyncw.cq.gov.cn\u002Fzwxx_161\u002Fywxx\u002F202608\u002Ft20260807_15907426_wap.html","农业农村部畜牧兽医局近日召开视频会议,深入学习贯彻习近平总书记关于防汛救灾和安全生产工作的重要指示精神,部署安排全国动物防疫和畜禽粪污处理安全生产重点工作。会议指出,今年入汛以来,畜牧业受灾范围广,动物防疫风险加大,要求各地制定汛期应对预案,健全部门协作机制,及时储备防疫物资,安全有序做好因灾死亡畜禽无害化处理;全面彻底开展消毒灭源,加强技术指导和宣传引导,坚决做好人畜共患病源头防控。黑龙江、河南、湖南、广西、陕西等5个省份作交流发言。31个省(区、市)和新疆生产建设兵团动物防疫和畜禽粪污处理安全生产工作负责人在分会场参加会议。","近日，农业农村部畜牧兽医局召开视频会议，深入学习贯彻习近平总书记关于防汛救灾和安全生产工作的重要指示精神，落实党中央、国务院决策部署，按照部党组安排要求，分析当前动物防疫和畜禽粪污处理安全生产形势，部署安排全国动物防疫和畜禽粪污处理安全生产重点工作。\n\n会议指出，今年入汛以来，畜牧业受灾范围广，动物防疫风险加大。各地要制定汛期应对预案，健全部门协作机制，及时储备防疫物资，安全有序做好因灾死亡畜禽无害化处理；全面彻底开展消毒灭源，加强技术指导和宣传引导，坚决做好人畜共患病源头防控；全力构筑免疫保护屏障，加强疫情监测排查和应急处置，严格动物卫生监督管理，有效防范重大动物疫情风险，切实维护畜牧业生产安全和公共卫生安全；一旦发生灾情，要迅速摸清受灾底数，加快推动保险理赔，做好饲草料等调剂调运，强化灾后种源供应，加快推进畜牧业灾后生产恢复。\n\n会议强调，当前正值高温汛期，第三季度部分地区集中施肥作业即将展开，畜禽粪污处理有限空间作业安全风险增加。各地要紧绷安全生产这根弦，持续加大安全宣传培训和警示教育，深入开展全覆盖、拉网式隐患排查整治，尽快指导配齐安全防护与应急救援装备，分区域开展规模养殖场有限空间作业应急演练，坚决遏制安全生产事故多发态势，保障养殖从业者生命安全。\n\n黑龙江、河南、湖南、广西、陕西等5个省份作交流发言，中国动物疫病预防控制中心介绍当前动物防疫工作形势。31个省（区、市）和新疆生产建设兵团动物防疫和畜禽粪污处理安全生产工作负责人在分会场参加会议。（农民日报全媒体记者 刘一明）","农业农村部畜牧兽医局 2026-08-07","2026-08-07T00:00:00Z",80,{"impact":423,"substance":160,"depth":235,"authority":235,"freshness":120,"relevant":22,"comment":424},25,"全国性政策部署，涉及动物防疫与安全生产，信息具体，权威性高，但时效性稍差。",[426],{"name":419,"url":416},[428,429,29,430],"安全生产","动物防疫","汛期防灾",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":434},{"candidates":435,"agricultural_evidence":47},[436,440,444],{"code":37,"score":46,"supported":47,"title":437,"abstract":438,"tags":439},[49,50],[49,50],[],{"code":33,"score":115,"supported":47,"title":441,"abstract":442,"tags":443},[29],[29],[29],{"code":125,"score":22,"supported":14,"title":445,"abstract":446,"tags":447},[],[],[429],[449,450],"动物防疫 安全生产 汛期防灾 畜禽粪污","动物防疫 安全生产","动物防疫安全生产汛期防灾畜禽粪污-425","2026-08-12T23:57:20.333690Z"]