[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"daily-2026-10-02":3},{"date":4,"title":5,"highlights":6,"content":13,"items":14},"2026-10-02","农业农村日报：八部门筑牢灌溉用水安全防线",[7,8,9,10,11,12],"生态环境部等八部门发文加强污水污染风险防范，从空间管控、排放管控、水质监测、执法监管四方面保障农业灌溉用水安全，年底前将出台水质监测技术指南。","农业农村部印发畜牧兽医行业“十五五”规划，部署五大任务，明确生猪产能常态化精准调控，全面推行养殖业节粮，加快人工智能运用和智慧畜牧业发展。","六部门联合印发农村客货邮融合发展行动方案，拓展“客货邮+电子商务”“客货邮+特色农业”，推动直播带货与农产品产销存配一体化。","山东出台智慧农业实施意见，到2030年建80个数字农业发展县、300个高水平应用场景，生产信息化率超60%，水肥一体化达2000万亩。","上海崇明区“十五五”乡村振兴规划布局“AI+”未来农业，突破自动采摘等核心技术，打造AI+现代农业智慧应用样板区。","前沿研究：山东理工番茄自主采摘机器人达21.1FPS、定位误差3.5毫米；华中农大柑橘泛化识别模型算量降58%，采摘误差控制在10毫米内。","本期聚焦农业灌溉用水安全、畜牧兽医“十五五”规划、农村客货邮融合及地方智慧农业部署，并收录饲料标签过渡期公告与番茄采摘、柑橘识别等智能装备前沿研究，覆盖政策、产业与科技动态。\n\n---\n*本日报内容整理自公开来源，学术论文元数据来自 OpenAlex 等开放接口；外文资料已译为中文，翻译与摘要仅供参考；引用与决策请以官方原文与正式出版物为准。*",[15,86,165,201,305,346,465,539,617,701,766,825,877,921,986],{"id":16,"title":17,"url":18,"summary":19,"summary_zh":20,"content":21,"source_name":22,"source_url":20,"published_at":23,"category":24,"cover_url":20,"hotness":25,"is_selected":26,"score":27,"score_detail":28,"sources":35,"tags":37,"primary_topic":43,"secondary_topics":49,"classification":50,"search_phrases":80,"slug":83,"view_count":84,"doi":20,"paper":20,"created_at":85},3921,"八部门联合发文筑牢农业灌溉用水安全防线","https:\u002F\u002Fwww.xyshjj.cn\u002Fcontent\u002F202610\u002F01\u002Fc27348831.html","生态环境部联合农业农村部等八部门印发《关于进一步加强工业等污水污染风险防范保障农业灌溉用水安全的通知》。《通知》坚持问题导向、系统治理，针对当前工业企业及园区、畜禽养殖场空间布局不够合理，污水排放管控要求不够完善，农业灌溉用水水质保障机制不够健全等突出问题，从抓好空间管控、强化污水排放管控、加强水质监测、强化执法监管等四个方面明确相关举措，计划今年底前出台农业灌溉用水水质监测技术指南，并构建\"空天地\"一体化监测网络。",null,"近日，生态环境部联合农业农村部、工业和信息化部、公安部、自然资源部、水利部、最高人民法院、最高人民检察院印发《关于进一步加强工业等污水污染风险防范 保障农业灌溉用水安全的通知》（以下简称《通知》）。\n\n水是农业命脉，农业灌溉用水安全直接关系粮食安全。八部门联手出台文件，旨在落实源头预防、过程把控、末端监管，推动构建跨部门、全周期的风险防控体系，切实保障农业灌溉用水安全。\n\n《通知》坚持问题导向、系统治理，针对当前工业企业及园区、畜禽养殖场空间布局不够合理，污水排放管控要求不够完善，农业灌溉用水水质保障机制不够健全等突出问题，从四个方面明确相关举措。\n\n一是抓好空间管控。依托土地审批、项目环评等手段，严格管控农田周边、喀斯特地貌等高风险区域的项目准入，从项目源头减少污染物进入农田，做到防患于未然。\n\n二是强化污水排放管控。对农田周边涉水污染源开展排查，建立问题清单，拉条挂账，制定整治方案并依法依规推进有序整改。推进农田周边工业园区污水集中处理设施提标改造。开展地方水污染物排放标准的制修订，完善特征污染物管控要求，重点强化全盐量、重金属、有毒有害污染物等排放管控，并把相关要求依法纳入排污许可证管理。\n\n三是加强水质监测。计划今年底前出台农业灌溉用水水质监测技术指南，指导地方结合本地实际制定农业灌溉用水监测计划。对于工业园区周边的灌溉用水，灌溉期原则上至少开展2次监测，包括临播种前、作物生长关键期，如幼苗期、水稻分蘖期等。把监测点位布设到田间地头，灌溉用水达不达标，用监测数据来说话。\n\n四是强化执法监管。加快构建“空天地”一体化监测网络，加强工业园区、集聚区以及畜禽养殖企业排污口、雨水口的监管。坚决打击污染环境犯罪，依法查处违规设置排污口、私设暗管排污等违法行为，重点整治利用溶洞、渗坑、裂隙等非法排放工业废水、畜禽粪污等行为。（记者 杨玉）","中国县域经济报·2026年10月01日","2026-10-01T04:07:53Z","政策",10,true,92,{"impact":29,"substance":30,"depth":31,"authority":32,"freshness":25,"relevant":33,"comment":34},27,23,18,14,1,"八部门联合发文，条款具体、时效性强，直接关系粮食安全与灌溉水质，值得进入每日精选。",[36],{"name":22,"url":18},[38,39,40,41,42],"粮食安全","农业灌溉用水","水质监测","污水排放管控","跨部门监管",{"code":44,"slug":45,"name":46,"path":47,"parent_code":48},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",[],{"status":51,"locked":52,"version":53,"method":54,"evidence":55},"classified",false,"2026-10-22.2","rules",{"candidates":56,"agricultural_evidence":26},[57,63,70,75],{"code":44,"score":58,"supported":26,"title":59,"abstract":61,"tags":62},11,[60],"灌溉",[60],[],{"code":64,"score":65,"supported":26,"title":66,"abstract":67,"tags":69},"C",3,[],[68],"畜禽",[],{"code":71,"score":33,"supported":52,"title":72,"abstract":73,"tags":74},"A8",[],[],[38],{"code":76,"score":33,"supported":52,"title":77,"abstract":78,"tags":79},"D4",[],[],[40],[81,82],"八部门 农业灌溉用水安全 通知","农业灌溉用水 污水排放管控 跨部门监管 水质监测","八部门农业灌溉用水安全通知-3921",2,"2026-10-02T11:53:08.199707Z",{"id":87,"title":88,"url":89,"summary":90,"summary_zh":20,"content":91,"source_name":92,"source_url":20,"published_at":93,"category":24,"cover_url":20,"hotness":94,"is_selected":26,"score":95,"score_detail":96,"sources":101,"tags":109,"primary_topic":116,"secondary_topics":121,"classification":122,"search_phrases":160,"slug":163,"view_count":65,"doi":20,"paper":20,"created_at":164},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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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":166,"title":167,"url":168,"summary":169,"summary_zh":20,"content":170,"source_name":171,"source_url":20,"published_at":172,"category":24,"cover_url":20,"hotness":25,"is_selected":26,"score":173,"score_detail":174,"sources":177,"tags":179,"primary_topic":20,"secondary_topics":185,"classification":186,"search_phrases":196,"slug":199,"view_count":132,"doi":20,"paper":20,"created_at":200},3928,"六部门联合印发《农村客货邮融合发展提质增效行动方案（2026—2028年）》","https:\u002F\u002Fczt.xinjiang.gov.cn\u002Fxjczt\u002Fc115021\u002F202609\u002F7307834d7f2e471298a383305017fb55.shtml","交通运输部、公安部、农业农村部、商务部、国家邮政局、中国邮政集团六部门联合发文。方案围绕加强农村客货邮运行监测、严格落实运营安全管理制度、强化运输过程安全监管、拓宽服务渠道助力产业发展等五大方面共20项任务展开。其中明确提出拓展\"客货邮+电子商务\"，引导农村客货邮经营者在县乡村三级综合服务站点开展直播带货、农产品线下线上展销等活动；拓展\"客货邮+特色农业\"，为当地特色农产品提供产、销、存、配一体化服务。","发布日期：**2026-09-28 18:55**来源：**自治区财政厅**浏览次数：\n\n【字体：_大_ _中_ _小_】 打印 分享到：\n\n各省、自治区、直辖市、新疆生产建设兵团交通运输厅（局、委）、公安厅（局）、农业农村（农牧）厅（局、委）、商务主管部门、邮政管理局，中国邮政集团有限公司各省分公司：\n\n现将《农村客货邮融合发展提质增效行动方案（2026－2028 年）》印发给你们。请结合实际，抓好贯彻落实。\n\n交通运输部公 安 部农业农村部\n\n商 务部国家邮政局中国邮政集团有限公司\n\n2026 年 6 月 30 日\n\n（此件公开发布）\n\n农村客货邮融合发展提质增效行动方案（2026－2028 年）\n\n为深入贯彻落实党中央、国务院决策部署，巩固拓展“四好农村路”建设成果，深入推进农村客运、货运物流、邮政快递（以下简称农村客货邮）融合发展，构建集约高效可持续的农村运输服务体系，为加快建设交通强国、推进乡村全面振兴、加快农业农村现代化提供坚实有力支撑，制定本行动方案。\n\n一、总体要求\n\n以习近平新时代中国特色社会主义思想为指导，深入贯彻党的二十大和二十届历次全会精神，以健全工作机制、完善三级站点、推动装备适配、创新运营模式、提升服务质量、实施数智赋能、守牢安全底线、助力产业发展为重点，实施农村客货邮融合发展提质增效行动，实现基础设施、运营主体、运力资源、信息数据、运营服务深度融合，形成“一点多能、一网多用、功能复合、便利高效”的农村运输服务新模式。\n\n力争到 2027 年底，具备条件的涉农县级行政区农村客货邮融合发展基本实现全覆盖，全国县乡村三级客货邮综合服务站点数量达 22 万个以上，农村客货邮合作线路达 2 万条以上。力争到 2028 年底，东部、中部、西部地区实现农村客货邮服务覆盖建制村比例分别达到 45%、45%、40%以上，通过客货邮融合方式实现邮件快件“县到村至少每日送一次”服务覆盖建制村比例分别达到 35%、35%、30%以上，农村客运稳定运行、可持续发展能力显著提升，更好服务保障农村群众出行和农村经济发展。\n\n二、重点任务\n\n（一）健全农村客货邮融合发展工作机制。\n\n1.建立部门协同推进机制。在实现省级协同工作机制全覆盖的基础上，指导市县积极推动建立交通运输、邮政、公安、财政、自然资源、农业农村、商务、文旅、供销等多部门常态化协调机制，明确各方职责分工，发挥各部门职责优势，统筹利用农村客货运输、邮政普遍服务、快递进村、电子商务进村、供销为民服务等政策资源，形成上下联动、部门协同、衔接顺畅、合力推进的工作格局。\n\n2.推动形成市场合作机制。充分发挥省市县协调机制作用，调动各方参与客货邮融合发展的积极性。培育客货邮融合发展牵头主体，引导农村客货邮参与单位开展市场化合作，签订合作协议，明确各方职责、权利和义务，合理设置投入和利益分配、违约责任和服务投诉处理等机制。鼓励选择或组建具备本地资源整合能力、能够协调农村客货邮融合发展所需资源的经营者作为牵头主体，支持国有企业和有能力的民营企业率先垂范，统筹推进农村客货邮融合发展工作。\n\n3.完善融合发展保障机制。畅通企业经营资质及人员从业资格扩展、变更渠道，指导农村客货邮经营者根据业务需要及时依法变更、扩展经营范围。继续通过现有资金渠道，按规定支持通过现有场站设施完善功能建设县乡村三级站点、推广适配车型、建设或升级改造农村客货邮综合服务系统等。\n\n（二）完善县乡村三级综合服务节点。\n\n4.打造集中共配型县级客货邮综合服务中心。利用县级汽车客运站、快递分拨中心、物流园区等现有场站设施，通过功能拓展、改造提升等方式，打造资源整合、客货兼顾、集约高效的县级客货邮综合服务中心。鼓励利用具备条件的县级汽车客运站拓展改造为县级客货邮综合服务中心。\n\n5.打造兼具中转和末端服务的乡镇客货邮综合服务站。依托乡镇汽车客运站、城乡公交首末站、乡镇邮政支局所、基层供销合作社、农村公路养护站等现有设施资源，建设乡镇客货邮综合服务站，满足农村客车停靠配客、邮件快件临时中转或收发派送等需求，实现上接县、下联村的集散中转服务功能。\n\n6.打造“一站式”村级客货邮综合服务点。在充分考虑农村客车安全便捷停靠的前提下，结合地方实际情况，统筹利用村委会、农村客运站点、邮政快递服务站、乡村商超、农村公路养护站、农村综合服务社等现有设施资源，打造“一站式”村级客货邮综合服务点，提供客运乘车、邮件快件寄递等基本服务，拓展政务办理、便民缴费等综合功能。\n\n（三）大力推广高效适配装备。\n\n7.普及推广农村客货邮适配车型。引导农村客货邮经营者选用农村客货邮适配客车，或者配备行李舱、车内物品存放区的农村客车，开展邮件快件代运业务。非农村客货邮适配车型开展客货邮业务的，要规范使用行李舱、车内物品存放区代运邮件快件，并完善针对性监管措施，保障旅客运输安全和代运邮件快件安全。\n\n8.推广自动化标准化绿色化设备。引导县级客货邮综合服务中心结合邮件快件日均处理量，配备自动化分拣、快速装卸等设备。推广应用标准化物流周转袋（箱）、托盘等，建立循环利用、绿色环保的装备体系。鼓励具备条件的地区探索建立无人值守站点，推广无人交换箱等智能交接设施，提升邮件快件交接效率。\n\n（四）创新农村客货邮融合发展模式。\n\n9.建立多元化融合发展模式。充分发挥农村客运网络覆盖广、通达深、频次高等优势，积极发展农村客车代运邮件快件的合作线路，提高农村客运可持续运营能力，提升邮件快件到镇进村时效，扩大邮件快件“县到村至少每日送一次”服务覆盖建制村比例。鼓励探索实施农村客运驾驶员兼任乡邮员、巡路员，减少人员重复进村成本。针对地形复杂、建制村分散、件量密度低的地区，鼓励地方创新机制加大运营支持力度。\n\n10.开展融合发展交通强国试点。按照《交通强国建设试点申报方向指引》，聚焦发展形式创新、三级站点体系建设、先进适配装备推广、运营服务规范、信息数据共享共用、保障体系构建等，申报开展交通强国试点，探索形成可复制、可推广的经验做法，破解制约农村客货邮融合发展的堵点卡点问题，推动提升农村客货邮融合发展质效。\n\n11.培育客货邮融合发展服务品牌。结合地方交通运输、邮政快递、农村产业、民俗特色、地域文化等，培育标识性强、易于推广的农村客货邮融合发展服务品牌，提升服务竞争力和吸引力，让群众可感可知客货邮融合发展成效。鼓励在全省域范围内，统一组织开展农村客货邮融合发展服务品牌培育，支持参与全国农村客货邮服务品牌培育工作。\n\n（五）建立运营管理与作业操作规范。\n\n12.建立运营服务管理规范。落实农村客货邮运营服务制度要求，建立健全本地区农村客货邮融合发展管理制度，细化县乡村综合服务站点、运营线路及车辆、作业流程、安全监管和服务监督等管理要求。指导农村客货邮经营者建立健全企业服务管理制度，公开服务内容、服务标准、收费价格、投诉处理渠道，接受社会监督，全面改进提升服务质量。\n\n13.建立服务质量评价机制。建立健全农村客货邮运营服务规范落实监督机制，定期组织农村客货邮经营者开展自查评估，促进农村客货邮健康规范发展。加强县域快递市场执法能力建设，推动企业规范快递进村考核，整治邮政快递领域不合理“罚款”事项，优化农村地区市场环境。指导企业建立邮件快件丢失破损等情况责任认定规则及处理方案，推动农村客货邮经营者规范开展服务。\n\n（六）实施数智化转型赋能。\n\n14.加强农村客货邮信息化建设。指导农村客货邮经营者加强信息化建设，打通多方数据壁垒，推动农村客运、货运物流、邮政快递数据分类归集、统一汇聚、按需共享。支持打造客货邮综合服务智能体或区域平台，接入县乡村客货邮综合服务站点、农村客运运力、邮件快件统仓共配数据，实现“人、货、车、站、线”智能匹配、统筹调度，提升农村客货邮运输组织效率。鼓励企业拓展系统功能，为群众提供出行购票、寄递下单、物流跟踪、投诉反馈等服务。\n\n15.加强农村客货邮运行监测。依托建制村通客车运行监测系统等现有信息化系统，通过升级改造或功能拓展，打通部省市县企业五级农村客货邮数据共享渠道，实现线路、运力、站点、邮件快件等关键数据互联互通，提升行业运行监测能力。定期开展监测分析，形成监测分析报告，为优化完善管理制度、改进提升服务质量、调整支持引导政策提供支撑。\n\n（七）坚决守牢安全发展底线。\n\n16.严格落实运营安全管理制度。指导企业落实《道路客运车辆禁止、限制携带和托运物品目录》《客运班车行李舱载货运输规范》等规定，完善企业安全管理制度，细化人员、车辆、设备、场地、信息安全管理要求，并严格落实到位，保障旅客和邮件快件运输安全。指导农村客货邮经营者完善应急预案，开展应急处置培训和实操演练，做好突发事件应对处置。\n\n17.强化运输过程安全监管。加强代运邮件快件的农村客车动态监控，实现报警信息动态清零。在重大活动和节假日等重点时段，集中组织约谈违法违规报警多发企业负责人，必要时实施提级管控。\n\n（八）拓宽服务渠道助力产业发展。\n\n18.拓展“客货邮+电子商务”。深入实施农村电商高质量发展工程，引导农村客货邮经营者统筹用好各类支持政策，探索在县乡村三级客货邮综合服务站点开展直播带货、农产品线下线上展销等活动，促进农村客货邮服务与电商服务深度融合，扩大下乡工业品和进城农产品消费，激发农村地区消费潜力，提升农村群众生活品质。\n\n19.拓展“客货邮+特色农业”。引导农村客货邮经营者加强与基层供销合作社、农产品产地市场、家庭农场、农民合作社等合作，搭建“产地采摘+商品化处理+冷链运输+线上线下销售”产业链条，利用农村客货邮综合服务站点和运力资源，为当地特色农产品、乡村民宿伴手礼等提供产、销、存、配一体化服务，助力农村群众增收致富。鼓励开通符合地方特色的产业专线、季节专线等客货邮特色线路，满足定制运输服务需求。\n\n20.拓展“客货邮+生活服务”。引导农村客货邮经营者在乡镇、村级客货邮综合服务站点，因地制宜依法依规增设证件办理、询医送药、社保登记、水电缴费、金融储蓄等便民服务，推动农村群众足不出村实现各类生活服务快速办理。\n\n三、保障措施\n\n各地区、各部门要加强组织领导和工作统筹，细化行动方案，分年度明确工作目标、重点任务，建立工作台账，实施清单管理。要牢固树立和践行正确政绩观，建立常态化联合会商、动态调度、跟踪督办机制，定期联合召开会议，协调解决工作推进难点堵点问题。要统筹用好相关财政政策，支持引导地方加快推进农村客货邮融合发展工作。要及时总结工作成效，查找问题不足，梳理可复制可推广的有效做法，加强交流借鉴，提升农村客货邮融合发展工作质效。在培育客货邮融合发展服务品牌工作过程中不命名、不授牌，不违规开展创建示范和评比达标表彰活动。交通运输部、农业农村部将会同有关部门结合省级党委和政府推进乡村振兴战略实绩考核、“四好农村路”与城乡交通运输一体化全国示范县创建等工作，对各地推进农村客货邮融合发展提质增效行动进行跟踪指导，总结典型案例向全行业推广。","新疆维吾尔自治区财政厅·2026年09月","2026-09-26T00:00:00Z",90,{"impact":97,"substance":98,"depth":31,"authority":32,"freshness":175,"relevant":33,"comment":176},6,"六部门联合印发的全国性三年行动方案，含明确量化目标与站点、装备、数智化等具体条款，政策价值高，虽发布已数日仍值得进入每日精选。",[178],{"name":171,"url":168},[180,181,182,183,184],"数字乡村","乡村全面振兴","农村物流","农村客货邮","交通强国",[],{"status":187,"locked":52,"version":53,"method":54,"evidence":188},"unclassified",{"candidates":189,"agricultural_evidence":26,"reason":195},[190],{"code":191,"score":33,"supported":52,"title":192,"abstract":193,"tags":194},"I6",[],[],[180],"缺少足够的主题证据",[197,198],"农村客货邮融合发展 行动方案","乡村全面振兴 农村客货邮 交通强国 农村物流","农村客货邮融合发展行动方案-3928","2026-10-02T11:53:08.848121Z",{"id":202,"title":203,"url":204,"summary":205,"summary_zh":20,"content":206,"source_name":207,"source_url":20,"published_at":208,"category":24,"cover_url":20,"hotness":25,"is_selected":26,"score":173,"score_detail":209,"sources":215,"tags":217,"primary_topic":224,"secondary_topics":230,"classification":231,"search_phrases":300,"slug":303,"view_count":99,"doi":20,"paper":20,"created_at":304},3924,"山东省人民政府办公厅印发《关于大力发展智慧农业的实施意见》（鲁政办字〔2026〕85号）","https:\u002F\u002Fny.zibo.gov.cn\u002Fart\u002F2026\u002F9\u002F30\u002Fart_5879_3024122.html","《意见》提出到2030年山东将建设80个数字农业发展县，重点打造300个高水平智慧农业应用场景，全省农业生产信息化率达到60%以上，粮油作物水肥一体化应用面积达到2000万亩。围绕\"加力推进优势产业智慧转型\"，《意见》部署智慧赋能主要作物单产提升、设施农业改造升级、畜牧业节本增效、渔业产业提档升级四大方向，加快\"北斗+智慧农业\"应用推广，构建小麦、玉米、大豆、花生等主要作物数字化种植技术体系；建设省级种质资源数据库平台，推动经验育种向智能设计育种转变。","*   [](https:\u002F\u002Fny.zibo.gov.cn\u002Fart\u002F2026\u002F9\u002F30\u002Fart_5879_3024122.html)\n\n*   [](https:\u002F\u002Fny.zibo.gov.cn\u002Fart\u002F2026\u002F9\u002F30\u002Fart_5879_3024122.html)\n\n[首页](https:\u002F\u002Fny.zibo.gov.cn\u002Findex.html)>[三农业务](https:\u002F\u002Fny.zibo.gov.cn\u002Fcol\u002Fcol980\u002Findex.html)>[政策法规](https:\u002F\u002Fny.zibo.gov.cn\u002Fcol\u002Fcol5879\u002Findex.html)\n\n山东省人民政府办公厅关于大力发展智慧农业的实施意见\n* * *\n发布日期： 2026-09-30 13:58:48 浏览次数:字体：[ [大](javascript:doZoom(17))[中](javascript:doZoom(15))[小](javascript:doZoom(13)) ]\n鲁政办字〔2026〕85号\n\n各市人民政府，各县（市、区）人民政府，省政府有关部门、有关直属机构，有关高等院校：\n\n为贯彻落实党中央、国务院关于智慧农业的决策部署，深入实施“人工智能＋农业”行动，加快推进物联网、大数据、人工智能、机器人等现代信息技术在农业农村领域全方位、全链条推广应用，打造全国智慧农业发展高地，助力农业农村现代化，现提出如下实施意见。\n\n**一、加力推进优势产业智慧转型**\n\n（一）智慧赋能主要作物单产提升。利用卫星遥感、无人机、地面传感等技术，统筹布局“四情”监测网络，深化农业气象灾害风险减量工作，提升实时感知和预警能力。推进农业生产数字化改造，大力推广应用智能农业机械化、水肥一体化智慧管控等技术，加强农田新型基础设施建设和改造升级，探索粮食减损智能系统推广，到2030年粮油作物水肥一体化应用面积达到2000万亩。促进良田、良种、良机、良法与数字化技术有机融合，开展“北斗＋智慧农业”支撑粮油作物大面积单产提升应用推广，构建小麦、玉米、大豆、花生等主要作物数字化种植技术体系，提升大面积单产水平。（牵头单位：省农业农村厅，责任单位：省大数据局、省气象局）\n\n（二）智慧赋能设施农业改造升级。有序推进集中连片老旧低效设施蔬菜基地、果园、茶园等更新改造，建设标准化、智慧化现代设施。加快精准感知、智能调控等数字化技术装备集成应用，推广应用设施农业智能体，实现全生长周期智能化决策。引导规模化设施农业经营主体，部署应用生产经营全过程数字化管理平台，推进设施农业智慧化管理。（牵头单位：省农业农村厅，责任单位：省发展改革委、省自然资源厅、省大数据局）\n\n（三）智慧赋能畜牧业节本增效。引导规模养殖场（户）进行数字化改造，建立电子养殖档案，推进养殖、饲料兽药、屠宰等环节数据互联互通，实现直联直报。鼓励规模养殖场（户）、畜牧屠宰企业加强重点环节监测预警，完善从生产到屠宰的全链条数字化监管。大力推广精准饲喂、智能环控、自动巡检、个体识别等智慧化养殖装备与技术，全面提高综合养殖效益。（牵头单位：省畜牧局，责任单位：省农业农村厅、省大数据局）\n\n（四）智慧赋能渔业产业提档升级。分类有序推进池塘、工厂化等养殖模式智能化改造，科学配备饲料精准投喂、智能增氧、循环水处理、水质在线监测等智能化设施。深化海洋牧场现代化建设，因地制宜推广应用水域环境监测、水下巡检、智能采捕等先进技术装备。推进苗种繁育、健康养殖、产品加工、冷链物流、综合服务等全链条数字化融合发展。强化渔政执法数字化建设，加快海洋渔船设施装备更新改造，利用渔船监控平台，推广AIS防避碰和北斗船位终端的应用，保障渔业生产安全。（牵头单位：省农业农村厅，责任单位：省工业和信息化厅）\n\n**二、加力推进关键领域智慧化建设**\n\n（五）大力发展智能农机装备。加快发展适用于精准作业、果蔬采摘、病虫害巡检、畜禽健康监测、深海养殖监控等复杂场景的智能农机、农业机器人等智能装备。扩大无人机在植保、施肥、农情监测等方面普及应用。鼓励农机制造企业在农机装备出厂前加装北斗导航、传感器等智能化设备，推动农业基础设施与智能农机协同联动。支持“无人农场”建设。（牵头单位：省工业和信息化厅，责任单位：省科技厅、省农业农村厅、省畜牧局）\n\n（六）加快智慧育种技术应用。加大种质资源数据收集与利用力度，建设省级种质资源数据库平台。推动人工智能、大数据等新一代信息技术与传统育种深度融合。支持科研机构和种业企业联合打造智能育种平台，开发智能设计育种工具，推动经验育种向智能设计育种转变，加速育种创新。以寿光、兰陵、莘县、济阳等蔬菜生产大县为重点，推动集约化数字种苗工厂建设。（省发展改革委、省科技厅、省农业农村厅按职责分工负责）\n\n（七）推进农业农村管理服务数字化。建好用好“齐鲁农云”山东省数字农业农村综合管理服务平台，支持开展省市共建试点工作，打造覆盖全省、上下贯通、业务协同的农业农村“数字大脑”。拓展“鲁农码”应用领域，实现涉农业务“一码通行”、服务事项“一码通办”，推进全省农业农村用地“一张图”管理。推动现代农事综合服务中心数字化建设，促进农业社会化服务资源高效整合与供需智能匹配，推动涉农数据价值转化。（省自然资源厅、省农业农村厅、省大数据局按职责分工负责）\n\n（八）加快全产业链数字化改造。充分发挥农业“链主”企业、龙头企业等示范作用，带动产业链上下游各类经营主体进行数字化改造。支持农产品精深加工数字化技术及智能装备研发与应用，推动人工智能技术在农产品分选、加工过程质量控制、供应链协同优化等关键环节的深度融合，建设特色农业“大脑”。积极推动农产品质量安全承诺达标合格证信息化，推进“区块链＋”在农产品质量安全管理中的应用，探索建立食用农产品全链条信息化追溯体系。强化农产品市场监测预警，引导产业有序发展。建好用好“齐鲁农超”平台，加快推动农村电商平台经济高质量发展，不断提升“好品山东 优特农品”品牌影响力。（省发展改革委、省工业和信息化厅、省农业农村厅、省商务厅、省市场监管局、省畜牧局按职责分工负责）\n\n**三、加力推进数字生态效能释放**\n\n（九）强化数据治理。健全农业农村数据管理制度，完善数据资源目录，加强涉农数据治理，建设农业农村高质量数据集。探索构建涉农数据资产价值转化路径，推动数据在农业生产、经营、管理、服务等各环节的应用，充分发挥数据要素价值。搭建安全可信的数据共享与交易环境，构建农业行业可信数据空间，推进网络安全与数据安全防护体系建设。（省委网信办、省农业农村厅、省大数据局按职责分工负责）\n\n（十）强化技术创新。实施“人工智能＋农业”行动，鼓励企业与科研院所、高校联合开展农业传感器与专用芯片、模型算法等研发攻关与成果转化，深入推进人工智能大模型、大数据分析等技术在农业农村领域融合应用，加快构建“空天地一体化”数字农业技术体系。鼓励各地根据发展需求，有针对性地组织开展智慧农业技术研发。强化企业创新主体地位，积极培育智慧农业领军企业，整合科研院所、高校、龙头企业和新型生产经营组织等资源，形成“产学研用”一体化创新模式。（省教育厅、省科技厅、省农业农村厅、省畜牧局按职责分工负责）\n\n（十一）强化技术推广。鼓励涉农高校、科研机构、推广单位与经营主体开展智慧农业技术集成应用示范，实施省农业重大技术协同推广计划，遴选发布一批智慧农业主推技术。加快推进物联网、大数据、人工智能、北斗导航、高分遥感等现代信息技术推广应用。加快制（修）订智慧农业标准规范，建立健全智慧农业技术推广服务体系，加强智慧农业技术指导和推广。鼓励有条件的农业社会化服务主体加快应用智慧农业技术，提供农情遥感监测、农事作业、经营管理、防灾减灾等技术服务。（省教育厅、省科技厅、省农业农村厅、省畜牧局按职责分工负责）\n\n（十二）强化场景应用。开展实数融合促进行动，依托全省农业数字赋能平台等，推进数字农业发展县建设，探索形成区域性的智慧农业解决方案。加快粮食作物、设施园艺、畜牧水产、特色产业及智慧气象、农机服务等重点领域的场景创新与推广，指导各地根据产业发展实际，因地制宜打造一批技术融合度高、应用实效性强、复制推广性好的智慧农业应用场景。到2030年，建设80个数字农业发展县，重点打造300个高水平的智慧农业应用场景，全省农业生产信息化率达到60％以上。（省农业农村厅、省大数据局、省畜牧局、省气象局按职责分工负责）\n\n**四、切实做好组织保障工作**\n\n由农业农村部门牵头，加强与发展改革、财政、科技、工业和信息化、自然资源、畜牧兽医、大数据、气象等部门沟通配合，强化省、市、县三级协同联动，确保任务落到实处。统筹乡村振兴重大专项资金等各级相关领域财政资金推进智慧农业建设，重点支持关键技术攻关、数字农业发展县和应用场景建设。省级每年支持建设30个智慧农业应用场景。优化金融服务落实税收优惠政策，支持智慧农业科技企业和创新平台发展。推动高校、科研院所与智慧农业企业深化合作，培养精通信息技术与农业产业的复合型人才。持续推动高素质农民培育、基层农技推广队伍素质提升等项目，提升生产经营主体数字素养与技能。推进智慧农业领域从业人员职业技能培训与评价，吸引各类人才投身智慧农业发展。（省委金融办、省发展改革委、省教育厅、省科技厅、省工业和信息化厅、省财政厅、省人力资源社会保障厅、省自然资源厅、省农业农村厅、省大数据局、省畜牧局、山东金融监管局、省税务局、省气象局按职责分工负责）\n\n山东省人民政府办公厅\n\n2026年9月18日\n[【打印本页】](javascript:window.print())[【关闭窗口】](javascript:window.opener=null;window.open('','_self');window.close();)","淄博市农业农村局·2026年09月30日","2026-09-30T05:58:48Z",{"impact":210,"substance":98,"depth":211,"authority":212,"freshness":213,"relevant":33,"comment":214},26,19,13,8,"省级智慧农业顶层政策文件，条款与量化目标明确，对全国农业信息化建设具有示范参考价值，值得进入每日精选。",[216],{"name":207,"url":204},[218,219,220,221,222,223],"智慧农业","农业人工智能","智能农机","齐鲁农云","农业数据要素","数字农业发展县",{"code":225,"slug":226,"name":227,"path":228,"parent_code":229},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds","A",[],{"status":51,"locked":52,"version":53,"method":54,"evidence":232},{"candidates":233,"agricultural_evidence":26},[234,241,247,253,259,264,268,274,280,286,291,296],{"code":235,"score":236,"supported":26,"title":237,"abstract":238,"tags":240},"I1",15,[218],[218,239],"数字农业",[218],{"code":225,"score":175,"supported":26,"title":242,"abstract":243,"tags":246},[],[244,245],"大豆","花生",[],{"code":248,"score":65,"supported":26,"title":249,"abstract":250,"tags":252},"A2",[],[251],"小麦",[],{"code":254,"score":65,"supported":26,"title":255,"abstract":256,"tags":258},"A3",[],[257],"玉米",[],{"code":71,"score":65,"supported":26,"title":260,"abstract":261,"tags":263},[],[262],"单产提升",[],{"code":64,"score":65,"supported":26,"title":265,"abstract":266,"tags":267},[],[128],[],{"code":269,"score":65,"supported":26,"title":270,"abstract":271,"tags":273},"D",[],[272],"渔业",[],{"code":275,"score":65,"supported":26,"title":276,"abstract":277,"tags":279},"F1",[],[278],"种质资源",[],{"code":281,"score":65,"supported":26,"title":282,"abstract":283,"tags":285},"F3",[],[284],"水肥一体化",[],{"code":287,"score":33,"supported":52,"title":288,"abstract":289,"tags":290},"F5",[],[],[220],{"code":292,"score":33,"supported":52,"title":293,"abstract":294,"tags":295},"I2",[],[],[219],{"code":191,"score":33,"supported":52,"title":297,"abstract":298,"tags":299},[],[],[222],[301,302],"山东 智慧农业 实施意见","鲁政办字 85号 智慧农业","山东智慧农业实施意见-3924","2026-10-02T11:53:08.547636Z",{"id":306,"title":307,"url":308,"summary":309,"summary_zh":20,"content":310,"source_name":311,"source_url":20,"published_at":312,"category":24,"cover_url":20,"hotness":25,"is_selected":26,"score":173,"score_detail":313,"sources":315,"tags":317,"primary_topic":323,"secondary_topics":328,"classification":329,"search_phrases":341,"slug":344,"view_count":132,"doi":20,"paper":20,"created_at":345},3922,"农业农村部公告第1067号：设置饲料标签转换过渡期至2027年5月31日","https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fhxgg\u002F202609\u002Ft20260930_8874679.htm","农业农村部公告第1028号对《饲料原料目录》作出修订，部分原料品种和类别名称发生变化。依据饲料标签有关规定，饲料产品标签中原料组成标示的饲料原料名称和类别应当与《饲料原料目录》一致。为减少资源浪费、减轻企业负担，公告决定就饲料新旧标签转换设置过渡期至2027年5月31日；2027年6月1日以后生产或进口的饲料产品所附标签，其标示的原料组成应与修订后《饲料原料目录》一致，旧版标签不得使用。","[![Image 1](https:\u002F\u002Fwww.agri.cn\u002Fimages\u002Fny_logo.png)](https:\u002F\u002Fwww.agri.cn\u002F)\n\n[无障碍](javascript:void(0);)[农芯慧答](https:\u002F\u002Fllm.trscd.com.cn\u002Fllm-app\u002F#\u002Fintelligent-qa?code=345059188574435d82b124eb1013e8d1&appId=910)[中华人民共和国农业农村部](https:\u002F\u002Fwww.moa.gov.cn\u002F)\n\n*   [首页](https:\u002F\u002Fwww.agri.cn\u002F)\n*   [机构](https:\u002F\u002Fwww.agri.cn\u002Fjg)\n*   [资讯](https:\u002F\u002Fwww.agri.cn\u002Fzx)\n*   [数据](https:\u002F\u002Fwww.agri.cn\u002Fsj)\n*   [生产](https:\u002F\u002Fwww.agri.cn\u002Fsc)\n*   [信息化](https:\u002F\u002Fwww.agri.cn\u002Fxxh)\n*   [专题](https:\u002F\u002Fwww.agri.cn\u002Fzt)\n*   [视频](https:\u002F\u002Fwww.agri.cn\u002Fvideo)\n\n[首页](https:\u002F\u002Fwww.agri.cn\u002F \"首页\")>[资讯](https:\u002F\u002Fwww.agri.cn\u002Fzx\u002F \"资讯\")>[通知公告](https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fhxgg\u002F \"通知公告\")\n\n 中华人民共和国农业农村部公告 第1067号 \n\n时间：2026-09-28 作者：畜牧兽医局 来源：畜牧兽医局\n\n字号：大 中 小![Image 2](https:\u002F\u002Fwww.agri.cn\u002Fimages\u002Fnxw_printIcon.png) 打印 \n\n分享:[](https:\u002F\u002Fsns.qzone.qq.com\u002Fcgi-bin\u002Fqzshare\u002Fcgi_qzshare_onekey?url=https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fhxgg\u002F202609\u002Ft20260930_8874679.htm&title=%E4%B8%AD%E5%8D%8E%E4%BA%BA%E6%B0%91%E5%85%B1%E5%92%8C%E5%9B%BD%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E9%83%A8%E5%85%AC%E5%91%8A%20%E7%AC%AC1067%E5%8F%B7 \"qq空间\")[](javascript:void(0); \"微信\")[](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fhxgg\u002F202609\u002Ft20260930_8874679.htm&title=%E4%B8%AD%E5%8D%8E%E4%BA%BA%E6%B0%91%E5%85%B1%E5%92%8C%E5%9B%BD%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E9%83%A8%E5%85%AC%E5%91%8A%20%E7%AC%AC1067%E5%8F%B7 \"新浪微博\")\n\n农业农村部公告第 1028 号 对《饲料原料目录》作出修订，部分原料品种和类别名称发生变化。依据饲料标签有关规定，饲料产品标签中原料组成标示的饲料原料名称和类别应当与《饲料原料目录》一致。为减少资源浪费，减轻企业负担，现 决定就饲料新旧标签转换设置过渡期，有关事宜公告如下。\n\n一、饲料标签转换过渡期 至2027年5月31日。20 27 年 6 月1日以后生产 或进口 的饲料产品所附具的标签，其标示的原料组成应与修订后《饲料原料目录》的品种或类别名称一致，旧版标签不得使用。\n\n二、20 27 年 5 月 3 1日前，饲料生产企业继续使用 的 旧版标签 中，如其所示原料组成含有已删除原料品种或类别的，应当 采取 粘贴 覆盖方式修改，不得在标签或包装上出现该品种或类别名称；如含有已变更原料品种或类别名称、其他标示内容均符合饲料标签有关规定的，旧版标签可继续使用。\n\n三、2027年5月31日以前生产或进口的使用旧版标签的相关饲料产品，在其产品保质期内可继续销售使用。\n\n农业农村部\n\n20 26 年 9 月 28 日\n\n附件下载：\n\n[中华人民共和国农业农村部公告 第1067号.ofd](https:\u002F\u002Fwww.agri.cn\u002Fzxfile\u002Freader?file=https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fhxgg\u002F202609\u002FP020260930545541668792.ofd)\n\n![Image 3](https:\u002F\u002Fwww.agri.cn\u002Fimages\u002Fnxw_back.png)\n返回顶部\n\n*   [外交部](https:\u002F\u002Fwww.fmprc.gov.cn\u002Fweb\u002F)\n*   [国防部](http:\u002F\u002Fwww.mod.gov.cn\u002F)\n*   [国家发展和改革委员会](https:\u002F\u002Fwww.ndrc.gov.cn\u002F)\n*   [教育部](http:\u002F\u002Fwww.moe.gov.cn\u002F)\n*   [科学技术部](https:\u002F\u002Fwww.most.gov.cn\u002F)\n*   [工业和信息化部](https:\u002F\u002Fwww.miit.gov.cn\u002F)\n*   [国家民族事务委员会](https:\u002F\u002Fwww.neac.gov.cn\u002F)\n*   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\"关闭辅助工具Shift+Q\")退出\n\n导航区(0)\n\nALT+1\n\n视窗区(0)\n\nALT+2\n\n交互区(0)\n\nALT+3\n\n服务区(0)\n\nALT+4\n\n列表区(0)\n\nALT+5\n\n正文区(0)\n\nALT+6\n\n[](javascript:void(0); \"声音开关\")语音\n\n[](javascript:void(0); \"开启帮助Shift+问号键\")帮助\n\n[](javascript:void(0); \"显示屏\")显示屏\n\n[](javascript:void(0); \"老人服务：快捷键Shift+N，适用于视力和文化认知底下的人群\")老人服务\n\n[](javascript:void(0); \"关闭辅助工具Shift+Q\")退出\n\n请按F11切换全屏模式\n\n  \n提示：该链接属站外链接，将无法使用辅助浏览工具！  \n是否继续访问？  \n\n请注意，该操作链接到其他网站  \n该网站无法启动无障碍工具条！\n\n当前访问页面超出辅助工具操作范围  \n无障碍辅助工具无法正常工作！  \n  \n\n##### 分享到微信\n\n×\n用微信“扫一扫”，点击右上角分享按钮，  \n即可将网页分享给您的微信好友或朋友圈。","中国农业农村信息网·2026年09月30日","2026-09-30T00:00:00Z",{"impact":210,"substance":30,"depth":31,"authority":236,"freshness":213,"relevant":33,"comment":314},"农业农村部公告明确饲料标签新旧转换过渡期至2027年5月31日，条款与时限清晰，对饲料生产企业与进口商具有全国性约束力，值得进入每日精选。",[316],{"name":311,"url":308},[318,319,320,321,322],"畜牧兽医","饲料原料目录","饲料标签","过渡期政策","饲料监管",{"code":324,"slug":325,"name":326,"path":327,"parent_code":64},"C4","feed","饲料与饲草","\u002Ftopic\u002Flivestock\u002Ffeed",[],{"status":51,"locked":52,"version":53,"method":54,"evidence":330},{"candidates":331,"agricultural_evidence":26},[332,337],{"code":324,"score":58,"supported":26,"title":333,"abstract":335,"tags":336},[334],"饲料",[334],[],{"code":64,"score":33,"supported":52,"title":338,"abstract":339,"tags":340},[],[],[318],[342,343],"农业农村部公告 第1067号 饲料标签","饲料原料目录 修订 过渡期","农业农村部公告第1067号饲料标签-3922","2026-10-02T11:53:08.297454Z",{"id":347,"title":348,"url":349,"summary":350,"summary_zh":351,"content":20,"source_name":352,"source_url":349,"published_at":93,"category":353,"cover_url":20,"hotness":25,"is_selected":26,"score":354,"score_detail":355,"sources":358,"tags":360,"primary_topic":366,"secondary_topics":371,"classification":372,"search_phrases":420,"slug":423,"view_count":175,"doi":424,"paper":425,"created_at":464},3887,"Rhizodeposition Drives One Third of Belowground Carbon Input in Agroecosystems","https:\u002F\u002Fdoi.org\u002F10.1002\u002Fadvs.78040","ABSTRACT Soil carbon (C) accumulation, an important mitigation solution to climate change, critically depends on plant C inputs. However, the allocation of belowground C inputs between root biomass and labile rhizodeposits remains poorly quantified. By synthesizing 746 global observations using 13 C\u002F 14 C tracing, we reveal that 17% of plant assimilated C is allocated belowground, with rhizodeposition accounting for one‐third of the net belowground C input. Legumes primarily allocate assimilated C to belowground via rhizodeposition, whereas other crops, including barley, wheat, rice, maize, and grasses, invest more in root biomass. Rhizodeposition increases with soil organic C up to a peak at 16–19 g C kg − 1 (reaching 8%–10% of assimilated C) and declines thereafter, reflecting a nonlinear relationship between soil fertility and belowground C investment. Environmental change modifies these dynamics as warming suppresses belowground C input by 36%, while drought increases rhizodeposition by 21%. Globally, wheat, maize, and rice contribute 2.70 ± 1.40, 1.76 ± 1.39, and 2.38 ± 1.78 Tg C year − 1 to belowground net C input, respectively. These findings fill critical knowledge gaps in the global C cycle and establish crop‐specific belowground C partitioning coefficients, providing updated empirical parameters to improve process‐based soil C modeling and precise C accounting for climate‐smart agriculture.","土壤碳（C）积累是缓解气候变化的重要途径，其关键取决于植物碳输入。然而，地下碳输入在根系生物量与易分解根系分泌物之间的分配仍缺乏定量认识。通过整合746组全球观测数据并利用13C\u002F14C示踪技术，我们揭示植物同化碳的17%分配至地下，其中根系分泌物占地下净碳输入的三分之一。豆科植物主要通过根系分泌物将同化碳分配至地下，而大麦、小麦、水稻、玉米和禾草等其他作物则更多投资于根系生物量。根系分泌物随土壤有机碳增加而增加，在16–19 g C kg−1时达到峰值（占同化碳的8%–10%），随后下降，反映了土壤肥力与地下碳投资之间的非线性关系。环境变化会改变这些动态：增温使地下碳输入降低36%，而干旱使根系分泌物增加21%。在全球尺度上，小麦、玉米和水稻对地下净碳输入的贡献分别为2.70 ± 1.40、1.76 ± 1.39和2.38 ± 1.78 Tg C year−1。这些发现填补了全球碳循环中的关键知识空白，并建立了作物特异性的地下碳分配系数，为改进基于过程的土壤碳模型和气候智慧型农业的精准碳核算提供了更新的经验参数。","Advanced Science","论文",88,{"impact":356,"substance":98,"depth":211,"authority":236,"freshness":213,"relevant":33,"comment":357},22,"基于746个全球观测的13C\u002F14C示踪整合分析，量化了根系沉积对地下碳输入的贡献并给出作物特异性分配系数，对土壤碳模型与气候智慧型农业碳核算有实质价值。",[359],{"name":352,"url":349},[361,362,363,364,365],"气候变化","作物模型","农业碳汇","土壤固碳","根系沉积",{"code":367,"slug":368,"name":369,"path":370,"parent_code":48},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",[],{"status":51,"locked":52,"version":53,"method":54,"evidence":373},{"candidates":374,"agricultural_evidence":26},[375,382,389,396,401,406,411,416],{"code":367,"score":25,"supported":26,"title":376,"abstract":377,"tags":381},[],[361,378,379,380],"干旱","climate change","drought",[361],{"code":383,"score":99,"supported":26,"title":384,"abstract":385,"tags":388},"H2",[],[386,387],"土壤","soil",[364],{"code":390,"score":175,"supported":26,"title":391,"abstract":392,"tags":395},"A1",[],[393,394],"水稻","rice",[],{"code":248,"score":175,"supported":26,"title":397,"abstract":398,"tags":400},[],[251,399],"wheat",[],{"code":254,"score":175,"supported":26,"title":402,"abstract":403,"tags":405},[],[257,404],"maize",[],{"code":235,"score":65,"supported":26,"title":407,"abstract":408,"tags":410},[],[409],"smart agriculture",[],{"code":412,"score":33,"supported":52,"title":413,"abstract":414,"tags":415},"H4",[],[],[363],{"code":292,"score":33,"supported":52,"title":417,"abstract":418,"tags":419},[],[],[362],[421,422],"根系沉积 地下碳输入 农田","作物 地下碳分配 系数","根系沉积地下碳输入农田-3887","10.1002\u002Fadvs.78040",{"doi":424,"openalex_id":426,"authors":427,"venue":352,"cited_by_count":455,"oa_url":349,"card":456,"direction":462,"ingested_from":463},"W7214913703",[428,430,433,435,437,440,443,445,448,450,452],{"name":429,"orcid":20},"Zhengjun Yan",{"name":431,"orcid":432},"Yuan Wen","https:\u002F\u002Forcid.org\u002F0000-0002-9612-7975",{"name":434,"orcid":20},"Jie Zhou",{"name":436,"orcid":20},"Yakov Kuzyakov",{"name":438,"orcid":439},"Damien Beillouin","https:\u002F\u002Forcid.org\u002F0000-0003-2014-3482",{"name":441,"orcid":442},"Johannes Lehmann","https:\u002F\u002Forcid.org\u002F0000-0002-4701-2936",{"name":444,"orcid":20},"Yadong Yang",{"name":446,"orcid":447},"Yiqi Luo","https:\u002F\u002Forcid.org\u002F0000-0002-4556-0218",{"name":449,"orcid":20},"Pete Smith",{"name":451,"orcid":20},"Zeng Zhaohai",{"name":453,"orcid":454},"Huadong Zang","https:\u002F\u002Forcid.org\u002F0000-0002-2008-143X",0,{"tldr":457,"method":458,"finding":459,"direction":460,"opportunity":461},"通过整合全球746个观测，量化了根系沉积占地下碳输入的三分之一。","整合746个全球观测，利用13C\u002F14C示踪数据合成分析。","根系沉积占地下净碳输入1\u002F3，豆科以沉积为主，禾本科以根生物量为主。","农业绿色发展与碳","可基于作物特异性分配系数改进土壤碳模型，并探究气候变化下根系沉积的反馈机制。","智慧农业 \u002F 农业物联网","openalex","2026-10-01T23:30:11.399301Z",{"id":466,"title":467,"url":468,"summary":469,"summary_zh":20,"content":20,"source_name":470,"source_url":20,"published_at":471,"category":353,"cover_url":20,"hotness":25,"is_selected":52,"score":472,"score_detail":473,"sources":475,"tags":477,"primary_topic":481,"secondary_topics":487,"classification":488,"search_phrases":526,"slug":529,"view_count":213,"doi":20,"paper":530,"created_at":538},3960,"Groundbreaking AI Robot Picks Tomatoes Autonomously——YOLOv8n-BiFPN-WIoU模型驱动采摘新范式","https:\u002F\u002Fagritechinsights.com\u002Findex.php\u002F2026\u002F10\u002F02\u002Fgroundbreaking-ai-robot-picks-tomatoes-autonomously","山东理工大学孟凡钊团队开发出基于YOLOv8n-BiFPN-WIoU轻量级深度学习模型的温室番茄自主采摘机器人，可在边缘设备NVIDIA Jetson Nano上运行，优化后达21.1 FPS实时运行；定位误差3.5±0.32mm；mAP@0.5达92.4%。系统采用六轴机械臂+双爪末端执行器，针对温室遮挡与光照变化优化，适用于商业化串番茄采收；系统基于开源ROS模块化设计，未来可适配黄瓜、辣椒、草莓等。","Agritech Insights·2026年10月02日（Frontiers in Plant Science）","2026-10-02T00:00:00Z",86,{"impact":356,"substance":30,"depth":31,"authority":212,"freshness":25,"relevant":33,"comment":474},"轻量模型+边缘部署的番茄自主采摘机器人，方法新颖、指标扎实，具备细分行业参考价值。",[476],{"name":470,"url":468},[218,219,478,479,480],"农业机器人","边缘计算","番茄采摘",{"code":482,"slug":483,"name":484,"path":485,"parent_code":486},"B1","vegetables","蔬菜","\u002Ftopic\u002Fhorticulture\u002Fvegetables","B",[],{"status":51,"locked":52,"version":53,"method":54,"evidence":489},{"candidates":490,"agricultural_evidence":26},[491,500,506,511,517,521],{"code":482,"score":492,"supported":26,"title":493,"abstract":494,"tags":499},9,[],[495,496,497,498],"番茄","辣椒","黄瓜","草莓",[],{"code":501,"score":138,"supported":26,"title":502,"abstract":503,"tags":505},"F6",[],[504],"采摘机器人",[478],{"code":292,"score":138,"supported":26,"title":507,"abstract":508,"tags":510},[],[509],"深度学习",[219],{"code":512,"score":65,"supported":26,"title":513,"abstract":514,"tags":516},"B7",[],[515],"温室",[],{"code":235,"score":33,"supported":52,"title":518,"abstract":519,"tags":520},[],[],[218],{"code":522,"score":33,"supported":52,"title":523,"abstract":524,"tags":525},"I5",[],[],[479],[527,528],"山东理工大学 番茄采摘机器人","YOLOv8n 温室番茄 采摘","山东理工大学番茄采摘机器人-3960",{"doi":20,"openalex_id":20,"authors":531,"venue":20,"cited_by_count":455,"oa_url":20,"card":532,"direction":462,"ingested_from":537},[],{"tldr":533,"method":534,"finding":535,"direction":462,"opportunity":536},"开发基于YOLOv8n-BiFPN-WIoU的轻量模型，实现温室番茄自主采摘机器人实时运行。","YOLOv8n-BiFPN-WIoU轻量模型，Jetson Nano边缘部署，六","mAP@0.5达92.4%，21.1 FPS实时运行，定位误差3.5±0.32mm，可商业化串番茄采","可延伸至多作物泛化、复杂遮挡与光照鲁棒性提升，以及边缘端模型轻量化与多机协同采摘。","agent","2026-10-02T11:53:16.408068Z",{"id":540,"title":541,"url":542,"summary":543,"summary_zh":544,"content":20,"source_name":545,"source_url":542,"published_at":546,"category":353,"cover_url":20,"hotness":25,"is_selected":26,"score":472,"score_detail":547,"sources":549,"tags":551,"primary_topic":557,"secondary_topics":558,"classification":559,"search_phrases":590,"slug":593,"view_count":65,"doi":594,"paper":595,"created_at":616},3888,"Spatiotemporal shifts in composite weather stress across US croplands","https:\u002F\u002Fdoi.org\u002F10.1088\u002F1748-9326\u002Faead01","Abstract Weather stressors influence crop production, farm management, and long-term agricultural suitability across the United States. These stressors vary across agricultural regions. While numerous weather indices exist, a generalized metric tailored to a region’s specific agricultural context remains lacking. Here, we introduce a multi-stressor framework that integrates 32 weather-based stress indicators representing compound drought, flood, extreme heat, cold, and thermal accumulation events across the Contiguous United States from 1980 to 2023. The framework applies an Agro-Ecological Zones (AEZ)-specific weighted averaging scheme that minimizes index redundancy while assigning region-specific importance to individual stressors. We then use a spatiotemporal analog tracking approach to characterize shifts in weather stress relative to a historical baseline period. This approach produces two composite metrics - weather stress divergence and weather stress similarity - quantifying deviations of current weather stress from, and spatial correspondence with, the historical baseline, respectively. To evaluate relevance, we examine their association with county-scale detrended yield anomalies for corn, soybeans, and wheat. Yield anomalies are negatively associated with weather stress divergence, with higher values indicating greater departures from historical conditions, and positively associated with weather stress similarity in a subset of counties. Across CONUS croplands, more than 50% experienced increasing weather stress divergence, primarily driven by drought and extreme heat, while weather stress similarity declined across many croplands. The most pronounced spatial analog shifts are concentrated in eastern agricultural regions, highlighting a growing loss of correspondence between current weather regimes and historical baselines. Although technological advances and adaptive management have contributed to long-term yield improvements, compound weather stress metrics explain measurable components of interannual yield variability. The proposed framework provides a systematic, region-specific approach to benchmark compound weather stress exposure and support agricultural risk assessment and planning from farm to national scales.","天气胁迫因子影响着美国各地的作物生产、农场管理及长期农业适宜性。这些胁迫因子在不同农业区域间存在差异。尽管已有众多天气指数，但仍缺乏一种针对特定区域农业情境的通用度量指标。在此，我们提出一个多胁迫因子框架，整合了1980年至2023年美国本土48州（Contiguous United States, CONUS）代表复合干旱、洪水、极端高温、低温及热量累积事件的32项天气胁迫指标。该框架采用农业生态区（Agro-Ecological Zones, AEZ）特定的加权平均方案，在最小化指标冗余的同时赋予各胁迫因子区域特定的重要性。随后，我们采用时空类比追踪方法（spatiotemporal analog tracking approach）刻画天气胁迫相对于历史基准期的变化。该方法产生两个综合指标——天气胁迫偏离度（weather stress divergence）和天气胁迫相似度（weather stress similarity），分别量化当前天气胁迫相对于历史基准的偏离程度及其与历史基准的空间对应关系。为评估其相关性，我们考察了这两个指标与县级尺度玉米、大豆和小麦去趋势产量异常之间的关联。产量异常与天气胁迫偏离度呈负相关（偏离度越高表明与历史条件的差异越大），在部分县中与天气胁迫相似度呈正相关。在美国本土48州的农田中，超过50%的区域经历了天气胁迫偏离度的增加，主要由干旱和极端高温驱动，而许多农田的天气胁迫相似度下降。最显著的空间类比偏移集中在中东部农业区，凸显出当前天气状况与历史基准之间的对应关系日益丧失。尽管技术进步和适应性管理促进了长期产量提升，复合天气胁迫指标仍能解释年际产量变异性中可测量的部分。所提出的框架提供了一种系统性、区域特定的方法来基准评估复合天气胁迫暴露程度，并支持从农场到国家尺度的农业风险评估与规划。","Environmental Research Letters","2026-09-28T00:00:00Z",{"impact":356,"substance":30,"depth":211,"authority":32,"freshness":213,"relevant":33,"comment":548},"该研究构建了覆盖美国本土1980-2023年32项天气胁迫指标的多胁迫框架，方法新颖、数据规模大，对农业风险区划与气候适应性规划具有参考价值，但属美国区域研究，对国内三农信息化直接指导意义有限。",[550],{"name":545,"url":542},[552,553,554,555,556],"农业气象","作物产量","遥感监测","复合天气胁迫","农业风险评估",{"code":367,"slug":368,"name":369,"path":370,"parent_code":48},[],{"status":51,"locked":52,"version":53,"method":54,"evidence":560},{"candidates":561,"agricultural_evidence":26},[562,566,570,575,579,585],{"code":367,"score":99,"supported":26,"title":563,"abstract":564,"tags":565},[],[378,380],[552],{"code":248,"score":175,"supported":26,"title":567,"abstract":568,"tags":569},[],[251,399],[],{"code":254,"score":175,"supported":26,"title":571,"abstract":572,"tags":574},[],[257,573],"corn",[],{"code":225,"score":65,"supported":26,"title":576,"abstract":577,"tags":578},[],[244],[],{"code":580,"score":65,"supported":26,"title":581,"abstract":582,"tags":584},"H6",[],[583],"农业生态",[],{"code":586,"score":84,"supported":52,"title":587,"abstract":588,"tags":589},"I3",[],[],[553,554],[591,592],"美国农田 复合天气胁迫","玉米 大豆 小麦 产量异常","美国农田复合天气胁迫-3888","10.1088\u002F1748-9326\u002Faead01",{"doi":594,"openalex_id":596,"authors":597,"venue":545,"cited_by_count":455,"oa_url":609,"card":610,"direction":462,"ingested_from":463},"W7161382464",[598,601,604,607],{"name":599,"orcid":600},"Srishti Vishwakarma","https:\u002F\u002Forcid.org\u002F0000-0003-1674-4197",{"name":602,"orcid":603},"Moetasim Ashfaq","https:\u002F\u002Forcid.org\u002F0000-0003-4106-3027",{"name":605,"orcid":606},"Rebecca Ann Efroymson","https:\u002F\u002Forcid.org\u002F0000-0002-3190-880X",{"name":608,"orcid":20},"Peter E. Thornton","https:\u002F\u002Fiopscience.iop.org\u002Farticle\u002F10.1088\u002F1748-9326\u002Faead01\u002Fpdf",{"tldr":611,"method":612,"finding":613,"direction":614,"opportunity":615},"构建多胁迫天气指标框架，量化1980-2023年美国农田复合天气胁迫的时空偏移。","整合32个天气胁迫指标，按农业生态区加权，用时空类比追踪对比历史基线。","超50%农田天气胁迫偏离度上升，主要由干旱和极端高温驱动，与玉米大豆小麦产量异常相关。","农业遥感与作物表型","可将该复合胁迫框架与作物模型或遥感表型结合，评估区域适应能力与品种布局优化。","2026-10-01T23:30:12.444553Z",{"id":618,"title":619,"url":620,"summary":621,"summary_zh":622,"content":20,"source_name":623,"source_url":620,"published_at":93,"category":353,"cover_url":20,"hotness":25,"is_selected":26,"score":624,"score_detail":625,"sources":627,"tags":629,"primary_topic":633,"secondary_topics":634,"classification":635,"search_phrases":660,"slug":663,"view_count":99,"doi":664,"paper":665,"created_at":700},3919,"Meteorological to agricultural drought propagation and vegetation response across China","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ejrh.2026.104022","Study region This study covers mainland China, spanning the Eastern Monsoon Region, the Northwest Arid and Semi-Arid Region, and the Qinghai-Tibet Alpine Region. Study focus Meteorological drought does not translate linearly into agricultural drought, and lagged vegetation responses remain poorly constrained. We combined Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI), satellite solar-induced chlorophyll fluorescence (SIF), and drought diagnostics based on the Standardized Precipitation Evapotranspiration Index (SPEI) and Standardized Soil Moisture Index (SSMI) to quantify meteorological-to-agricultural drought propagation, drought duration and severity, and vegetation response memory across China. We examined long-term trends and propagation lags, evaluated cumulative and delayed vegetation responses using correlation and wavelet coherence analyses, and used machine-learning attribution to identify the dominant controls on vegetation variability. New hydrological insights for the region Agricultural drought lasts longer and is more severe than the meteorological drought that triggers it, with a duration approximately one month longer, reflecting the drought amplification effect within the soil-vegetation system. Drought propagation time varies significantly across China, with a median lag of 3–5 months, and the longest lags occur in inland semi-arid regions. Vegetation exhibits a pronounced drought memory effect: NDVI and SIF responses lag approximately 5 months behind drought onset. Compared with NDVI, SIF is more sensitive to short-term water stress. In most parts of China, temperature and evapotranspiration dominate vegetation dynamics, while hydrological factors exert a stronger influence in the humid southeastern regions.","研究区域 本研究涵盖中国大陆，横跨东部季风区、西北干旱半干旱区以及青藏高寒区。研究重点 气象干旱并非线性转化为农业干旱，植被的滞后响应仍缺乏充分约束。我们结合中分辨率成像光谱仪（MODIS）归一化植被指数（NDVI）、卫星太阳诱导叶绿素荧光（SIF），以及基于标准化降水蒸散指数（SPEI）和标准化土壤湿度指数（SSMI）的干旱诊断，量化了中国气象干旱向农业干旱的传播过程、干旱历时与严重程度，以及植被响应记忆。我们检验了长期趋势与传播滞后，利用相关分析和小波相干分析评估了植被的累积响应与延迟响应，并采用机器学习归因方法识别植被变异的主导控制因子。该区域的新水文学认识 农业干旱比触发它的气象干旱持续时间更长、程度更严重，历时约长一个月，反映了土壤—植被系统内的干旱放大效应。干旱传播时间在中国各地差异显著，中位滞后为3—5个月，最长滞后出现在内陆半干旱区。植被表现出显著的干旱记忆效应：NDVI和SIF的响应滞后于干旱发生约5个月。与NDVI相比，SIF对短期水分胁迫更为敏感。在中国大部分地区，温度和蒸散主导植被动态，而在湿润的东南部地区，水文因素的影响更强。","Journal of Hydrology Regional Studies",85,{"impact":356,"substance":30,"depth":31,"authority":32,"freshness":213,"relevant":33,"comment":626},"基于多源遥感与机器学习量化全国气象到农业干旱传导及植被滞后响应，方法新颖、结论可靠，对农业旱情监测预警有直接参考价值。",[628],{"name":623,"url":620},[630,552,554,631,632],"机器学习","干旱预警","植被响应",{"code":367,"slug":368,"name":369,"path":370,"parent_code":48},[],{"status":51,"locked":52,"version":53,"method":54,"evidence":636},{"candidates":637,"agricultural_evidence":26},[638,643,647,651,656],{"code":367,"score":639,"supported":26,"title":640,"abstract":641,"tags":642},16,[380],[378,380],[552,631],{"code":383,"score":175,"supported":26,"title":644,"abstract":645,"tags":646},[],[386,387],[],{"code":292,"score":138,"supported":26,"title":648,"abstract":649,"tags":650},[],[630],[630],{"code":44,"score":65,"supported":26,"title":652,"abstract":653,"tags":655},[],[654],"evapotranspiration",[],{"code":586,"score":33,"supported":52,"title":657,"abstract":658,"tags":659},[],[],[554],[661,662],"MODIS NDVI SIF 干旱","SPEI SSMI 农业干旱","MODISNDVISIF干旱-3919","10.1016\u002Fj.ejrh.2026.104022",{"doi":664,"openalex_id":666,"authors":667,"venue":623,"cited_by_count":455,"oa_url":620,"card":694,"direction":699,"ingested_from":463},"W7214733729",[668,671,674,676,679,682,684,686,688,690,692],{"name":669,"orcid":670},"Dong Liu","https:\u002F\u002Forcid.org\u002F0000-0001-6924-0748",{"name":672,"orcid":673},"Zihan Ma","https:\u002F\u002Forcid.org\u002F0009-0009-2854-2622",{"name":675,"orcid":20},"Liangliang Zhang",{"name":677,"orcid":678},"Nan Sun","https:\u002F\u002Forcid.org\u002F0009-0008-4472-3573",{"name":680,"orcid":681},"Muhammad Abrar Faiz","https:\u002F\u002Forcid.org\u002F0000-0003-0626-0308",{"name":683,"orcid":20},"Mo Li",{"name":685,"orcid":20},"Xiaochen Qi",{"name":687,"orcid":20},"Tianxiao Li",{"name":689,"orcid":20},"Song Cui",{"name":691,"orcid":20},"Zhaoqiang Zhou",{"name":693,"orcid":20},"Muhammad Imran Khan",{"tldr":695,"method":696,"finding":697,"direction":614,"opportunity":698},"量化中国气象干旱向农业干旱的传播及植被滞后响应。","用MODIS NDVI、SIF、SPEI、SSMI及机器学习归因分析。","农业干旱比气象干旱长约1个月，植被响应滞后约5个月，SIF更敏感。","可探索不同气候区干旱传播阈值与SIF早期预警指标，构建区域化干旱记忆模型。","农业人工智能与决策模型","2026-10-01T23:30:55.666679Z",{"id":702,"title":703,"url":704,"summary":705,"summary_zh":706,"content":20,"source_name":707,"source_url":704,"published_at":312,"category":353,"cover_url":20,"hotness":25,"is_selected":26,"score":624,"score_detail":708,"sources":710,"tags":712,"primary_topic":716,"secondary_topics":717,"classification":718,"search_phrases":741,"slug":744,"view_count":65,"doi":745,"paper":746,"created_at":765},3873,"Beyond symmetry: asymmetric input shocks, the mechanization paradox, and dynamic pathways to grain yield stability in China (1983–2023)","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1878122","The dynamic response of China's grain yield to agricultural input shocks and whether these responses differ between short- and long-run horizons remains inadequately understood. This study employs a Dynamic ARDL simulation framework on national data from 1983 to 2023 to dissect the short- and long-run effects of irrigated area, cultivated land, fertilizer use, and agricultural mechanization on grain yield. Long-run elasticities reveal that irrigated area, cultivated land, and fertilizer exert positive and significant effects on grain yield, whereas mechanization exhibits a negative coefficient. Short-run dynamics indicate that only irrigation and cultivated land confer immediate benefits; mechanization and fertilizer effects materialize over multiple years, with a stable and rapid error-correction mechanism confirming swift adjustment toward equilibrium. Dynamic simulations further reveal three robust patterns: positive irrigation and land shocks generate sustained yield gains; mechanization shocks initially suppress yield before a delayed recovery; and fertilizer shocks are fundamentally asymmetric—positive shocks stabilize yields at higher levels, whereas negative shocks paradoxically produce short-run spikes followed by substantial long-run losses. Policy should prioritize gradual fertilizer reduction, irrigation expansion in water-scarce regions, and a fundamental shift in mechanization subsidies from horsepower to yield efficiency.","中国粮食产量对农业投入冲击的动态响应，以及这些响应在短期与长期之间是否存在差异，仍未得到充分理解。本研究基于1983—2023年全国数据，采用动态ARDL模拟框架，剖析灌溉面积、耕地面积、化肥施用和农业机械化对粮食产量的短期与长期效应。长期弹性表明，灌溉面积、耕地面积和化肥对粮食产量具有显著正向影响，而机械化则呈现负向系数。短期动态显示，只有灌溉和耕地能够带来即时收益；机械化和化肥效应需经过多年才能显现，稳定且快速的误差修正机制证实了向均衡的迅速调整。动态模拟进一步揭示了三种稳健模式：灌溉和耕地正向冲击产生持续的产量增长；机械化冲击最初抑制产量，随后延迟恢复；化肥冲击则具有根本性的非对称特征——正向冲击使产量稳定在较高水平，而负向冲击 paradoxically 先引起短期骤增，随后造成长期大幅损失。政策应优先推进化肥减量、在水资源短缺地区扩大灌溉，并从根本上将机械化补贴重心从马力转向产量效率。","Frontiers in Sustainable Food Systems",{"impact":356,"substance":30,"depth":31,"authority":212,"freshness":492,"relevant":33,"comment":709},"基于1983—2023年全国数据的动态ARDL研究，揭示化肥冲击的非对称效应与机械化悖论，对粮食稳产政策有实质参考价值。",[711],{"name":707,"url":704},[38,713,714,60,715],"农业机械化","化肥减量","农业投入",{"code":44,"slug":45,"name":46,"path":47,"parent_code":48},[],{"status":51,"locked":52,"version":53,"method":54,"evidence":719},{"candidates":720,"agricultural_evidence":26},[721,726,732,737],{"code":44,"score":492,"supported":26,"title":722,"abstract":723,"tags":725},[],[60,724,45],"水资源",[],{"code":287,"score":99,"supported":26,"title":727,"abstract":728,"tags":731},[],[729,730],"农业机械","机械化",[713],{"code":281,"score":138,"supported":26,"title":733,"abstract":734,"tags":736},[],[735],"fertilizer",[714],{"code":71,"score":33,"supported":52,"title":738,"abstract":739,"tags":740},[],[],[38],[742,743],"中国 粮食产量 农业投入","农业机械化 粮食产量 稳定性","中国粮食产量农业投入-3873","10.3389\u002Ffsufs.2026.1878122",{"doi":745,"openalex_id":747,"authors":748,"venue":707,"cited_by_count":455,"oa_url":704,"card":760,"direction":699,"ingested_from":463},"W7214953201",[749,751,753,755,757],{"name":750,"orcid":20},"Baozhong Cai",{"name":752,"orcid":20},"Fang Shi",{"name":754,"orcid":20},"Betelhem A. Geremew",{"name":756,"orcid":20},"Meseret C. Abate",{"name":758,"orcid":759},"Amsalu K. Addis","https:\u002F\u002Forcid.org\u002F0000-0002-6661-7201",{"tldr":761,"method":762,"finding":763,"direction":699,"opportunity":764},"用动态ARDL模型分析1983–2023年中国农业投入冲击对粮食产量的非对称短长期影响。","动态ARDL模拟，使用1983–2023年全国灌溉、耕地、化肥、机械化与粮食产量","机械化长期抑制产量且短期先降后升；化肥冲击非对称，减施短期增产但长期大损。","可构建分省面板非对称动态模型，探究机械化从马力补贴转向效率补贴的产量稳定路径。","2026-10-01T23:30:07.222326Z",{"id":767,"title":768,"url":769,"summary":770,"summary_zh":20,"content":20,"source_name":771,"source_url":20,"published_at":772,"category":24,"cover_url":20,"hotness":25,"is_selected":52,"score":773,"score_detail":774,"sources":776,"tags":778,"primary_topic":780,"secondary_topics":785,"classification":786,"search_phrases":820,"slug":823,"view_count":65,"doi":20,"paper":20,"created_at":824},3925,"上海市崇明区印发《推进乡村全面振兴\"十五五\"规划》","https:\u002F\u002Fwww.shcm.gov.cn\u002Fgovxxgk\u002Fqzfbgs\u002F2026-09-29\u002F48dc8816-cdd5-4c14-b6ee-82c0750118bf.html","《规划》提出崇明要突破目标识别、智能控制、自动采摘等核心技术，鼓励开发农业智能体、柔性农业机器人；布局\"AI+\"未来农业场景，推动AI技术与农业生产深度融合，聚焦菌菇全自动生产、白山羊智慧养殖、工厂化水产养殖等领域，构建\"感知—认知—决策—执行\"的智能闭环，打造\"AI+现代农业智慧应用样板区\"；同时确保常年蔬菜种植面积稳定在7.5万亩，推进8000余亩蔬菜规模化基地建设，建成2000亩集中连片的高标准设施菜田。","上海市崇明区人民政府·2026年09月29日","2026-09-29T08:00:00Z",84,{"impact":356,"substance":30,"depth":31,"authority":212,"freshness":213,"relevant":33,"comment":775},"省级区级“十五五”乡村振兴规划，明确农业智能体、柔性机器人、智能闭环等AI+农业落地路径与设施菜田数据，政策条款具体、增量信息足，值得进入每日精选。",[777],{"name":771,"url":769},[218,219,478,779,110],"设施农业",{"code":501,"slug":781,"name":782,"path":783,"parent_code":784},"agricultural-robots","机器人与无人农场","\u002Ftopic\u002Finputs-equipment\u002Fagricultural-robots","F",[],{"status":51,"locked":52,"version":53,"method":54,"evidence":787},{"candidates":788,"agricultural_evidence":26},[789,793,797,803,808,812,816],{"code":501,"score":138,"supported":26,"title":790,"abstract":791,"tags":792},[],[478],[478],{"code":482,"score":65,"supported":26,"title":794,"abstract":795,"tags":796},[],[484],[],{"code":798,"score":65,"supported":26,"title":799,"abstract":800,"tags":802},"C2",[],[801],"山羊",[],{"code":269,"score":65,"supported":26,"title":804,"abstract":805,"tags":807},[],[806],"水产",[],{"code":235,"score":33,"supported":52,"title":809,"abstract":810,"tags":811},[],[],[218],{"code":292,"score":33,"supported":52,"title":813,"abstract":814,"tags":815},[],[],[219],{"code":156,"score":33,"supported":52,"title":817,"abstract":818,"tags":819},[],[],[110],[821,822],"崇明区 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县域经济","农村电商农业生态环境-3959",{"doi":20,"openalex_id":20,"authors":979,"venue":20,"cited_by_count":455,"oa_url":20,"card":980,"direction":460,"ingested_from":537},[],{"tldr":981,"method":982,"finding":983,"direction":460,"opportunity":984},"基于1884个县域面板数据，评估农村电商发展对农业生态环境质量的影响。","多期双重差分模型，卫星反演农业生态环境数据，电子商务进农村示范政策。","农村电商显著且持续提升农业生态环境质量，通过绿色生产和信息化实现。","可探究农村电商对农业碳排放、生物多样性等具体生态指标的异质性影响及空间溢出效应。","2026-10-02T11:53:16.323798Z",{"id":987,"title":988,"url":989,"summary":990,"summary_zh":20,"content":991,"source_name":992,"source_url":20,"published_at":312,"category":24,"cover_url":20,"hotness":25,"is_selected":52,"score":928,"score_detail":993,"sources":996,"tags":998,"primary_topic":1001,"secondary_topics":1002,"classification":1003,"search_phrases":1014,"slug":1017,"view_count":138,"doi":20,"paper":20,"created_at":1018},3929,"重庆印发《电子商务腾飞计划（2026—2028年）》：\"数商兴农\"农村电商提质行动","https:\u002F\u002Fsww.cq.gov.cn\u002Fzwgk_247\u002Fzfxxgkmlrk\u002Fzcjd_1\u002Fwz_343305\u002Fbdmzcjd\u002F202609\u002Ft20260930_16151532.html","重庆设定目标农村网络零售额年均增幅不低于10%。重点工作包括：推动农村电商高质量发展，推进农产品出村进城，推评农村电商高质量典型案例；加快农村现代物流配送体系建设，推动县级、乡镇物流网点标准化数字化升级，实现村级物流网络全覆盖，探索无人配送、无人机末端配送等智慧物流应用；\"万店云集\"电商主体培育行动提出到2028年累计建成代表性电商园区50个以上，推动即时零售融入15分钟商业服务圈。","**一、起草背景及过程**\n\n为深入贯彻党中央、国务院关于发展数字经济、促进数字消费的战略部署，全面落实商务部等8部门《关于大力发展数字消费共创数字时代美好生活的指导意见》、商务部等6部门《关于更好服务实体经济推进电子商务高质量发展的指导意见》文件精神，以商务高质量发展“6655”行动为总牵引，立足重庆电商发展基础，市商务委组织编制《重庆电子商务腾飞计划（2026‑2028年）》（渝商务发〔2026〕35号，以下简称《腾飞计划》）。编制过程统筹考虑产业带建设、新业态培育、数商兴农、跨境电商、人才生态建设等重点任务，明确未来三年全市电子商务发展目标、七大专项行动以及保障举措，文件于2026年8月24日正式印发，指导全市电商向更高质量、更有效率、更可持续方向发展。\n\n**二、政策主要内容**\n\n《腾飞计划》明确2026—2028年全市电子商务发展五大类量化目标，部署七大专项行动共21项重点任务，配套三项保障措施，构建“目标—任务—保障”完整工作闭环。\n\n一是实施“万店云集”电商主体培育行动，包含强化项目招引落地、培育本土电商主体、打造融合创新载体、提升品质运营与国际化水平4项任务，重点推进平台项目招引、本土企业梯度培育、“渝系列”直播电商园区建设，推动即时零售融入15分钟商业服务圈，培育未来市场新场景。\n\n二是实施“渝品云集”电商产业提升行动，包含打造特色网货产业带、加强电商品牌建设、提升流通集约效能3项任务，分类赋能渝东北、渝东南、主城都市区特色产业带，擦亮“渝品云集”公共品牌，推广统仓共配模式，降低物流综合成本。\n\n三是实施“全域焕新”数字消费拓展行动，包含扩展全域新业态、打造全维新场景、深度融合新技术3项任务，大力发展直播电商、即时零售、短剧电商等新业态，创新“直播+即时零售”等融合模式，推动AI、VR\u002FAR技术在电商领域落地应用。\n\n四是实施“IP聚势”电商活动创新行动，包含IP活动聚势、多元渠道聚能、协同融合聚力3项任务，做强“渝品云集”618电商嘉年华、万物直播季等市级IP，深化平台、MCN机构合作，推进跨省市电商协同，创新“电商+文旅+赛事”融合消费场景。\n\n五是实施“数商兴农”农村电商提质行动，包含推动农村电商高质量发展、加快农村现代物流配送体系建设2项任务，力争农村网络零售额年均增幅不低于10%，推评农村电商典型案例与带头人，健全县乡村三级物流配送体系，实现村级物流网络能力全覆盖。\n\n六是实施跨境电商开放提升行动，包含提升跨境电商综试区能级、创建“丝路电商”合作先行区2项任务，深化“跨境电商+产业带”，用好中欧班列、公共海外仓资源，探索对接高标准国际经贸规则，推动渝货优进优出。\n\n七是实施“数智赋能”电商生态优化行动，包含强化数智技术赋能、建设电商人才高地、完善电商服务体系、协同推进规范与自律4项任务，迭代电商产业大脑、公共服务平台，构建“市区培训+校企共育+企业实战”三级人才培养体系，完善金融、法律等配套服务，压实平台主体责任，促进行业诚信合规发展。\n\n保障措施方面，从深化党建领航宣传赋能、健全协同推进机制、强化数据标准建设三个维度，明确党建品牌建设、市区联动会商、行业标准制定、统计监测、数据共享等工作要求。实施期间如遇国家、市级政策调整，按照最新政策执行。\n\n**三、政策中涉及的关键词、专业名词解释**\n\n（一）“万店云集”电商主体培育行动：全市电商主体专项培育行动，围绕招引外部重点平台、壮大本土电商企业、培育网络店铺、建设电商载体，推动大中小电商主体协同发展，扩大电商市场主体规模。\n\n（二）“渝品云集”：重庆市级电商公共品牌，构建“品牌打造、资源对接、矩阵营销”三位一体赋能体系，通过选品对接、直播大促、跨区域联动，推动重庆各类特色产品线上拓展全国市场。\n\n（三）亿元级网货产业带：基于地方特色产业，线上年销售额达到1亿元以上的产业集群，涵盖农特产品、轻工制造、五金家居等，是“产业带+电商”融合发展的核心载体。\n\n（四）未来市场：数字技术赋能的新型商贸市场场景，融合线上线下交易、智慧管理、供应链协同等要素，涵盖智慧商圈、智慧农贸、数字化商超等多种市场形态。\n\n（五）“丝路电商”合作先行区：依托“一带一路”、RCEP合作框架，围绕跨境电商制度创新、载体建设、产业促进打造的开放合作平台，用好国家馆、丝路云品等合作载体，实现商品优进优出。\n\n（六）山城推荐官：重庆达人矩阵品牌，构建“头部引领、腰部支撑、新人跟进”达人梯队，发挥达人力量助力渝品线上营销推广。\n\n（七）统仓共配：集约化物流运营模式，整合多个商家仓储、配送需求，实现统一仓储、共同配送，降低网货产业带或电商园区整体物流成本。\n\n**四、核心条款及解读**\n\n标题：到2028年电子商务主要发展目标\n\n问：《腾飞计划》设置了哪些可量化的核心发展指标？\n\n答：一是规模能级，力争全市网络零售额年均增长8%左右，占社会消费品零售总额比重提升至20%，实物网络零售额占社零比重提升至15%。二是市场主体，落地10个以上重点电商平台项目，新引进重点电商企业30家以上，新增网络店铺超3.6万家，新增带动就业不少于9万人。三是产业集群，打造50个电商产业载体，培育50个以上亿元级网货产业带。四是开放合作，培育30家以上跨境电商进出口亿级企业，赋能10个以上产业带，跨境电商经营主体累计突破2万家。五是公共服务，培育1—2个全国影响力电商品牌活动，打造1—2个全产业链电商公共服务平台。\n\n标题：“万店云集”电商主体培育行动重点任务\n\n问：在电商市场主体培育方面有哪些重点方向？\n\n答：一方面对外抓招引，紧盯电商平台、数智供应链企业，招引功能性总部、区域总部，推动已落地项目投产，发挥以商招商效应。另一方面对内抓培育，培育本土亿元级电商企业，推动传统商超、专业市场数字化转型，推进“个转企”“小升规”“限下转限上”。积极打造融合创新载体，提质建设“渝系列”直播电商园区，到2028年累计建成代表性电商园区50个以上，推动即时零售融入15分钟商业服务圈，培育未来市场新场景。\n\n标题：“数商兴农”农村电商提质行动重点任务\n\n问：农村电商板块设定什么发展目标，重点抓哪些工作？\n\n答：目标为农村网络零售额年均增幅不低于10%。重点工作：一是推动农村电商高质量发展，推进农产品出村进城，推评农村电商高质量典型案例、农村电商带头人，培育县域数字消费龙头企业。二是加快农村现代物流配送体系建设，完善县乡村三级物流配送体系，推动县级、乡镇物流网点标准化数字化升级，实现村级物流网络全覆盖，探索无人配送、无人机末端配送等智慧物流应用。\n\n标题：跨境电商开放提升行动重点任务\n\n问：跨境电商如何赋能重庆优势产业，拓展国际市场？\n\n答：围绕汽摩配件、五金工具、通用机械等优势产业，推进“跨境电商+产业带”深度融合；发展“市场采购+跨境电商”“中欧班列+跨境电商”模式；支持在RCEP、“一带一路”重点市场布局公共海外仓；积极创建“丝路电商”合作先行区，创新“国家馆+直播”模式，培育“一国一爆品”，推动重庆商品优进优出。\n\n标题：“数智赋能”电商生态优化行动重点任务\n\n问：在电商人才、平台服务、行业监管方面有什么部署？\n\n答：平台服务着中推动重庆电商行业产业大脑、电子商务公共服务平台两大行业公共服务数字化平台迭代建设，持续完善主体库、选品库、主播库，推广AI数字人、AI运营分析应用。人才上构建“市区培训+校企共育+企业实战”三级培养体系，办好星未来训练营，打造“山城推荐官”达人矩阵。服务上实施电商灯塔计划，引导金融机构推出电商专属信贷产品。监管上压实平台主体责任，规范网络餐饮，强化消费者权益保护，加强安全生产，引导行业诚信自律。\n\n标题：计划落地的保障机制是什么？\n\n问：各级商务主管部门如何抓好《腾飞计划》落地实施？\n\n答：一是强化党建宣传，充分发挥党建统领凝心聚力的作用，擦亮“e路同行·数智先锋”党建品牌，宣传推广电商典型案例。二是健全协同推进机制，各区县联动部门、协会、企业建立常态化会商研判机制，结合本地产业禀赋细化落实举措，统筹财政和社会资本投入。三是强化数据标准建设，参与电商行业标准制定，完善电商统计监测评价体系，依托数字重庆强化部门数据共享，释放数据要素价值。实施期间，国家、市级政策如有调整，按最新政策执行。\n\n**原文链接：**\n\n重庆市商务委员会 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