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日","2026-10-14T07:48:00Z",79,{"impact":73,"substance":74,"depth":18,"authority":75,"freshness":76,"relevant":20,"comment":77},22,20,15,8,"农业农村部官方周度监测数据，含活猪、猪肉集贸与批发价格及后市研判，属全国性产业级行情信息，时效性较好，值得进入每日精选。",[79],{"name":69,"url":66},[81,82,83,84,85],"畜牧兽医","生猪价格","猪肉价格","市场监测","农产品价格",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":89},{"candidates":90,"agricultural_evidence":45},[91,96],{"code":31,"score":92,"supported":45,"title":93,"abstract":94,"tags":95},11,[33],[33],[],{"code":35,"score":20,"supported":13,"title":97,"abstract":98,"tags":99},[],[],[81],[101,102],"农业农村部 生猪价格 周报","农产品价格 市场监测 猪肉价格 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104393（2026）发表。研究针对生猪跛行检测提出PoseGait-MT多任务分类框架，可同时检测跛行严重程度与受影响肢体。框架从多视角2D视频重建3D骨骼以缓解遮挡与视角依赖问题；提取3D步态时空特征（空间跟踪距离sTRK、头部上下振幅HBA、关节屈曲角JFA），并结合小波卷积（WTConv）增强低频特征提取、抑制高频噪声。实验结果显示：PoseGait-MT在5折交叉验证下对跛行严重程度分类平均准确率94.7%、受影响肢体识别95.7%；独立测试集上分别89%、91.4%。","Biosystems Engineering Vol. 263 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and Electronics in Agriculture》发表题为PB-DETR: multi-behaviour recognition of group-housed pigs with adaptive liquid neural network encoder and dynamic supervision的研究论文。长江大学智慧农业交叉创新研究中心主任、计科学院詹炜教授为通讯作者。研究将液体神经网络机制引入Transformer编码器，设计自适应液体时间常数增强模块，构建多尺度特征交互和动态质量感知优化策略，进而降低模型对固定背景信息的依赖。基于PB-DETR框架构建的模型平均精度(mAP)达到0.893，参数量为14.58M，计算量为49.12GFLOPs；在不同养殖场景之间的测试中表现出较好稳定性。","《Computers and Electronics in Agriculture》2026","2026-09-21T00:00:00Z",{"impact":17,"substance":73,"depth":16,"authority":18,"freshness":76,"relevant":20,"comment":167},"农业人工智能顶刊论文，方法新颖、指标明确，对智慧养殖行为识别有实质参考价值，值得进入每日精选。",[169],{"name":164,"url":162},[120,171,172,173,174],"农业人工智能","智慧养殖","目标检测","生猪行为识别",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":178},{"candidates":179,"agricultural_evidence":45},[180,184,189],{"code":31,"score":76,"supported":45,"title":181,"abstract":182,"tags":183},[33],[],[],{"code":136,"score":185,"supported":45,"title":186,"abstract":187,"tags":188},4,[],[120],[120],{"code":141,"score":190,"supported":13,"title":191,"abstract":192,"tags":193},2,[],[],[171,173],[195,196],"长江大学 詹炜 生猪行为识别","PB-DETR 群养生猪 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2](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F18\u002F583873_1383d51c-13c5-45c5-943f-dafe45e50d57.jpeg)\n\n论坛聚焦智能育种前沿变革，设置主旨报告、前沿对话、标准发布与项目签约环节。中国工程院院士赵春江、赵书红，以及国内外高校、科研院所专家，围绕AI智慧农业、基因组选择、畜禽与作物智能设计育种等方向作报告。在科技前沿对话环节，孙其信院士带领产学研代表，探讨智能育种对传统育种的革新路径，共谋构建深度融合的种业创新生态。\n\n![Image 3](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F18\u002F583873_35382de5-e682-4172-a4df-2202b07fb261.jpeg)\n\n论坛重磅发布《肉禽智能表型数据采集规范》《猪智能表型数据采集规范》两项团体标准，系国内畜禽智能表型数据采集首批行业规范。该标准由首农食品集团牵头，联合19家科研院所与龙头企业编制。现场，PIC中国与双胞胎集团签署种业振兴战略合作协议，双方整合种质资源与产业优势，助力我国生猪产业现代化发展。\n\n![Image 4](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F18\u002F583873_3a626cc8-632b-4f5c-86ea-224d258c2684.jpeg)\n\n同期举办的世界农业科技博览会上，首农食品集团集中展示育种核心部件、核心种源等创新成果。首农集团联动多方主体，探索“政府+科研机构+企业”协同机制，助力北京“种业之都”建设。\n\n**（主办方供图）**\n\n[中国科技网2026年9月18日](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F18\u002Fcontent_583873.html)","中国农业大学新闻网",85,{"impact":215,"substance":73,"depth":17,"authority":18,"freshness":216,"relevant":20,"comment":217},24,9,"国内首批畜禽智能表型数据采集团体标准发布，由首农牵头联合19家机构编制，对智慧育种与种业振兴具行业规范意义，值得进入每日精选。",[219],{"name":212,"url":209},[120,221,222,223,224],"行业标准","种业振兴","智能育种","畜禽智能表型",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":228},{"candidates":229,"agricultural_evidence":45},[230,235,239,244,249,253],{"code":35,"score":44,"supported":45,"title":231,"abstract":232,"tags":234},[],[233],"畜禽",[],{"code":31,"score":44,"supported":45,"title":236,"abstract":237,"tags":238},[],[33],[],{"code":240,"score":20,"supported":13,"title":241,"abstract":242,"tags":243},"F1",[],[],[222],{"code":245,"score":20,"supported":13,"title":246,"abstract":247,"tags":248},"F2",[],[],[223],{"code":136,"score":20,"supported":13,"title":250,"abstract":251,"tags":252},[],[],[120],{"code":254,"score":20,"supported":13,"title":255,"abstract":256,"tags":257},"J1",[],[],[221],[259,260],"中国农业大学 肉禽智能表型数据采集规范","首农 猪智能表型数据采集规范","中国农业大学肉禽智能表型数据采集规范-3029","2026-09-21T00:04:32.166834Z",{"id":264,"title":265,"url":266,"summary":267,"summary_zh":8,"content":268,"source_name":269,"source_url":8,"published_at":270,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":271,"score_detail":272,"sources":275,"tags":277,"primary_topic":281,"secondary_topics":282,"classification":283,"search_phrases":310,"slug":313,"view_count":44,"doi":8,"paper":8,"created_at":314},2977,"新华财经：中国-东盟AI农业合作提速 算力变农力","https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL776IV4S05346RC6.html","第23届中国-东盟博览会数字经济展区捷佳润科技集团展示\"农业数字大脑\"：整合气象站、虫情仪、土壤监测设备等终端完成12项环境数据实时采集，借助AI视觉技术监测叶绿素含量、挂果状态等8项作物生长指标，可精准识别60余种病虫害与杂草类型。系统已应用在柬埔寨、老挝、泰国等多个东盟国家。2025年广西扬翔集团联合越南企业、深圳数影科技达成跨境智能养猪战略合作落地楼房养猪\"云端猪场\"，5-6人可管理1000头母猪，养殖效率提升约30%。","[![Image 3](https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL776IV4S05346RC6.html)](javascript:void(0))\n\n[网易首页](https:\u002F\u002Fwww.163.com\u002F 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[举报](https:\u002F\u002Fwww.163.com\u002Fspecial\u002F0077jt\u002Ftipoff.html?title=%E2%80%9C%E7%AE%97%E5%8A%9B%E2%80%9D%E5%8F%98%E2%80%9C%E5%86%9C%E5%8A%9B%E2%80%9D%EF%BC%9A%E4%B8%AD%E5%9B%BD%E2%80%94%E4%B8%9C%E7%9B%9FAI%E5%86%9C%E4%B8%9A%E5%90%88%E4%BD%9C%E6%8F%90%E9%80%9F)\n\n[](https:\u002F\u002Fwww.163.com\u002Fdy\u002Farticle\u002FL776IV4S05346RC6.html#post_comment_area \"快速发贴\")[0](https:\u002F\u002Fcomment.tie.163.com\u002FL776IV4S05346RC6.html \"点击查看跟贴\")\n\n分享至\n*   [](javascript:;)\n*   [](javascript:;)\n*   [](javascript:;)\n\n[](javascript:; \"关闭\")\n\n![Image 6: Scan me!](blob:http:\u002F\u002Flocalhost\u002Fd5f5af2332dba78cb4d883700b0417aa)\n\n用微信扫码二维码\n\n分享至好友和朋友圈\n\n新华社南宁9月19日电（黄庆刚、王亮）环境数据实时采集、精准识别病虫害，支持多个东盟国家语言……在第23届中国—东盟博览会的数字经济展区，捷佳润科技集团股份有限公司的工作人员正在展示“农业数字大脑”，吸引不少人驻足观看。\n\n![Image 7](https:\u002F\u002Fnimg.ws.126.net\u002F?url=http%3A%2F%2Fdingyue.ws.126.net%2F2026%2F0919%2Fb907a07aj00tllw5h01o1d004ao02v4g.jpg&thumbnail=660x2147483647&quality=80&type=jpg)  \n 观众在中国—东盟博览会智慧农业展区品尝水果。新华社发\n\n记者在公司展区的互动屏上看到，“AI巡园助手”运行逻辑清晰呈现：通过整合气象站、虫情仪、土壤监测设备等终端，系统可完成温度、湿度、土壤pH值等12项环境数据的实时采集；借助AI视觉技术，监测叶绿素含量、挂果状态等8项作物生长指标，甚至能精准识别60余种病虫害与杂草类型。\n\n“数据采集频率达每日2次，相当于给作物配备了24小时‘私人医生’。”公司企管中心总监陈秀娟说，用户只需通过云平台设定巡园范围与频率，系统便能自动生成动态报告或分析文档，关键指标与风险预警一目了然。目前该系统已应用在柬埔寨、老挝、泰国等多个东盟国家。\n\n“过去主要靠经验，现在可以让数据辅助判断。”陈秀娟说，借助物联网设备和AI技术，农业生产中的部分环节可以实现实时监测和精准管理。\n\n![Image 8](https:\u002F\u002Fnimg.ws.126.net\u002F?url=http%3A%2F%2Fdingyue.ws.126.net%2F2026%2F0919%2F6f1e3580j00tllw5l01b8d004ao02v4g.jpg&thumbnail=660x2147483647&quality=80&type=jpg)  \n 这是9月17日拍摄的广西南宁国际会展中心。新华社发\n\n近年来，广西持续深化与东盟的农业经贸与技术合作，立足毗邻东盟的区位优势，不断拓宽智慧农业出海赛道。\n\n本届东博会也更加突出人工智能等新技术应用。展区不再只是展示“有什么技术”，而是进一步围绕东盟市场需求展示“技术能解决什么问题”，推动人工智能与农业、制造业、物流等产业结合。\n\n在农业领域，这种变化尤其明显。从一块试验田到更多农业生产场景，算力正在转化为农业生产力。\n\n2025年，依托“中国—东盟生猪产业创新联盟”，广西扬翔集团股份有限公司联合越南企业、深圳数影科技有限公司达成跨境智能养猪战略合作，在越南落地全链路数字化养猪示范项目，提供楼房养猪管理体系与未来猪场解决方案，并与越南和广西的高校联合开展专业人才培养。\n\n“我们与扬翔集团联合研发未来猪场智能养猪整体解决方案，将物联网、人工智能、大数据等技术应用于猪场生产管理，对养殖环境、生产过程和生猪生长情况进行实时监测分析，形成实时可控的‘云端猪场’。”深圳数影科技有限公司董事长张岩说，项目实施后，养殖效率提升约30%，5至6人即可管理1000头母猪，进一步提升生猪疫病防控和生产管理能力。\n\n在张岩看来，随着东盟农业加快向规模化、集约化、智能化发展，农业生产对技术和管理的需求也在发生变化，市场关注点正由单一设备采购逐步转向更加系统、完整的智能解决方案。他们还联动越南、泰国等东盟国家高校，常态化推动全产业链智能化种养经验与技术体系，助力东盟农业产业转型发展。\n\n广西大学农学院副教授唐小付表示，人工智能帮助农业生产增加“数字助手”。对中国企业而言，这意味着新的市场空间；对东盟国家而言，则意味着传统农业数字化转型获得了新的技术选择。从技术展示到场景应用，从单项产品到整体解决方案，中国与东盟智慧农业合作正在进入更加具体的阶段。\n\n特别声明：以上内容(如有图片或视频亦包括在内)为自媒体平台“网易号”用户上传并发布，本平台仅提供信息存储服务。\n\nNotice: The content above (including the pictures and videos if any) is uploaded and posted by a user of NetEase Hao, which is a social media platform 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[广东热上了全国第","新华社·新华财经","2026-09-19T10:08:00Z",73,{"impact":73,"substance":75,"depth":273,"authority":18,"freshness":216,"relevant":20,"comment":274},13,"央媒报道中国-东盟AI农业合作与智能养殖落地案例，具产业级参考价值，时效性强，可入每日精选。",[276],{"name":269,"url":266},[278,120,171,279,280],"数字乡村","智能养殖","中国东盟合作",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":284},{"candidates":285,"agricultural_evidence":45},[286,291,297,301,305],{"code":31,"score":61,"supported":45,"title":287,"abstract":288,"tags":290},[],[53,289],"母猪",[],{"code":292,"score":44,"supported":45,"title":293,"abstract":294,"tags":296},"H2",[],[295],"土壤",[],{"code":136,"score":20,"supported":13,"title":298,"abstract":299,"tags":300},[],[],[120],{"code":141,"score":20,"supported":13,"title":302,"abstract":303,"tags":304},[],[],[171],{"code":306,"score":20,"supported":13,"title":307,"abstract":308,"tags":309},"I6",[],[],[278],[311,312],"中国东盟 AI农业 合作","扬翔集团 智能养猪","中国东盟AI农业合作-2977","2026-09-20T00:03:00.663448Z",{"id":316,"title":317,"url":318,"summary":319,"summary_zh":8,"content":320,"source_name":321,"source_url":8,"published_at":322,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":323,"score_detail":324,"sources":326,"tags":328,"primary_topic":332,"secondary_topics":333,"classification":339,"search_phrases":357,"slug":360,"view_count":190,"doi":8,"paper":8,"created_at":361},1799,"河南省生猪种业工程研究中心评价考核优秀","https:\u002F\u002Fhnagri.org.cn\u002Fxmsy\u002Farticle-113899.html","近日河南省发展和改革委员会印发《关于发布河南省工程研究中心2026年评价结果的通知》（豫发改高技〔2026〕549号），公布对全省1010家省级工程研究中心综合考评的结果，其中44家评价结果为优秀。依托河南省农业科学院建设的河南省生猪种业工程研究中心获评\"优秀\"，针对地方猪种质挖掘利用不足、基因组育种技术落地难、育种成果转化链条不畅等产业问题开展系统攻关。","近日，河南省发展和改革委员会印发《关于发布河南省工程研究中心2026年评价结果的通知》（豫发改高技〔2026〕549号），公布了对全省1010家省级工程研究中心综合考评的结果，其中44家评价结果为优秀。依托我所建设的河南省生猪种业工程研究中心获评“优秀”，充分肯定了中心在生猪良种攻关、产学研协同和成果转化方面的建设成效。\n\n河南省生猪种业工程研究中心是我省生猪种源创新领域重要的省级创新平台。针对我省地方猪种质挖掘利用不足、基因组育种技术落地难、育种成果转化链条不畅等产业问题，中心围绕地方猪种质创新、基因组育种技术研发、种猪高效繁育、成果示范转化开展系统攻关，着力打通基础研究到产业示范的创新链条。\n\n下一步，我所将以此次优秀评价为新起点，持续完善平台运行机制，加大种业关键技术攻关，深化产学研协同创新，加快成果迭代升级与示范推广，集聚创新人才，聚力破解生猪种业产业难题，为我省畜牧产业高质量发展、乡村全面振兴注入科技动能。\n\n![Image 1](https:\u002F\u002Fwww.hnagri.org.cn\u002Fupload\u002Fimages\u002F20260903\u002Fimg_1788425053800.png)","河南省农业科学院2026年9月","2026-09-04T00:00:00Z",64,{"impact":74,"substance":75,"depth":131,"authority":12,"freshness":19,"relevant":20,"comment":325},"省级生猪种业平台获评优秀，体现种业创新进展，但内容偏通稿，缺乏具体数据。",[327],{"name":321,"url":318},[222,329,330,331],"河南","生猪种业","工程研究中心",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[334],{"code":240,"slug":335,"name":336,"path":337,"parent_code":338},"seed-industry","种业与品种管理","\u002Ftopic\u002Finputs-equipment\u002Fseed-industry","F",{"status":38,"locked":13,"version":39,"method":40,"evidence":340},{"candidates":341,"agricultural_evidence":45},[342,347,351],{"code":240,"score":131,"supported":45,"title":343,"abstract":345,"tags":346},[344],"种业",[344],[222],{"code":31,"score":92,"supported":45,"title":348,"abstract":349,"tags":350},[33],[33],[],{"code":352,"score":44,"supported":45,"title":353,"abstract":354,"tags":356},"G1",[],[355],"成果转化",[],[358,359],"工程研究中心 生猪种业 种业振兴 河南","工程研究中心 生猪种业","工程研究中心生猪种业种业振兴河南-1799","2026-09-07T00:04:39.355926Z"]