[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2977":3,"related-2977":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":55,"doi":8,"paper":8,"created_at":79},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%。",null,"[![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","报道",10,false,73,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,15,13,14,9,1,"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。",[25],{"name":10,"url":6},[27,28,29,30,31],"数字乡村","智慧农业","农业人工智能","智能养殖","中国东盟合作",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"C1","pigs","生猪","\u002Ftopic\u002Flivestock\u002Fpigs","C",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,53,60,65,70],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":52},6,true,[],[50,51],"养猪","母猪",[],{"code":54,"score":55,"supported":47,"title":56,"abstract":57,"tags":59},"H2",3,[],[58],"土壤",[],{"code":61,"score":22,"supported":14,"title":62,"abstract":63,"tags":64},"I1",[],[],[28],{"code":66,"score":22,"supported":14,"title":67,"abstract":68,"tags":69},"I2",[],[],[29],{"code":71,"score":22,"supported":14,"title":72,"abstract":73,"tags":74},"I6",[],[],[27],[76,77],"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",{"total":46,"page":22,"page_size":46,"items":81},[82,136,182,238,305,347],{"id":83,"title":84,"url":85,"summary":86,"summary_zh":8,"content":8,"source_name":87,"source_url":8,"published_at":88,"category":89,"cover_url":8,"hotness":13,"is_selected":14,"score":90,"score_detail":91,"sources":96,"tags":98,"primary_topic":102,"secondary_topics":103,"classification":104,"search_phrases":121,"slug":124,"view_count":112,"doi":8,"paper":125,"created_at":135},3322,"PB-DETR：群养生猪多行为识别的自适应液体神经网络编码器与动态监督框架","https:\u002F\u002Fjky.yangtzeu.edu.cn\u002Finfo\u002F1265\u002F6884.htm","长江大学计算机科学学院研究生郭宇衡作为第一作者，在计算机与农业交叉领域顶级期刊《Computers 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","论文",78,{"impact":92,"substance":17,"depth":93,"authority":20,"freshness":94,"relevant":22,"comment":95},16,18,8,"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。",[97],{"name":87,"url":85},[28,29,99,100,101],"智慧养殖","目标检测","生猪行为识别",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":105},{"candidates":106,"agricultural_evidence":47},[107,111,116],{"code":33,"score":94,"supported":47,"title":108,"abstract":109,"tags":110},[35],[],[],{"code":61,"score":112,"supported":47,"title":113,"abstract":114,"tags":115},4,[],[28],[28],{"code":66,"score":117,"supported":14,"title":118,"abstract":119,"tags":120},2,[],[],[29,100],[122,123],"长江大学 詹炜 生猪行为识别","PB-DETR 群养生猪 多行为识别","长江大学詹炜生猪行为识别-3322",{"doi":8,"openalex_id":8,"authors":126,"venue":8,"cited_by_count":127,"oa_url":8,"card":128,"direction":132,"ingested_from":134},[],0,{"tldr":129,"method":130,"finding":131,"direction":132,"opportunity":133},"提出PB-DETR框架，实现群养生猪多行为识别，mAP达0.893。","引入液体神经网络改进Transformer编码器，结合多尺度特征交互与动态监督。","模型在群养生猪多行为识别中mAP达0.893，跨场景稳定性较好。","农业人工智能与决策模型","可探索液体神经网络在其它畜禽行为识别中的泛化能力及轻量化部署。","agent","2026-09-24T00:04:02.413623Z",{"id":137,"title":138,"url":139,"summary":140,"summary_zh":8,"content":8,"source_name":141,"source_url":8,"published_at":142,"category":89,"cover_url":8,"hotness":13,"is_selected":14,"score":90,"score_detail":143,"sources":145,"tags":147,"primary_topic":152,"secondary_topics":153,"classification":154,"search_phrases":170,"slug":173,"view_count":55,"doi":8,"paper":174,"created_at":181},3602,"Advancing pig lameness detection with a multi-task framework: Leveraging multi-view 3D pose estimation and wavelet convolution（多任务框架推进生猪跛行检测：利用多视角3D姿态估计与小波卷积）","https:\u002F\u002Fm2.mtmt.hu\u002Fapi\u002Fpublication\u002F36981064?&labelLang=hun","Xiang Li、Wang Haidong、Hu Zixuan、Norton Tomas、Jiang Tian、Xue Yueju等在Biosystems Engineering 1537-5110 Vol. 263 Paper: 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 2026-09-20","2026-09-20T00:00:00Z",{"impact":93,"substance":17,"depth":93,"authority":20,"freshness":46,"relevant":22,"comment":144},"核心期刊论文，方法新颖且实验数据扎实，对智慧养殖中的动物健康监测有实质参考价值，值得进入每日精选。",[146],{"name":141,"url":139},[28,148,149,150,151],"计算机视觉","生猪养殖","3D姿态估计","动物健康监测",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":155},{"candidates":156,"agricultural_evidence":47},[157,162,166],{"code":33,"score":158,"supported":47,"title":159,"abstract":160,"tags":161},12,[35],[35],[149],{"code":61,"score":22,"supported":14,"title":163,"abstract":164,"tags":165},[],[],[28],{"code":66,"score":22,"supported":14,"title":167,"abstract":168,"tags":169},[],[],[148],[171,172],"PoseGait-MT 生猪跛行检测","多视角3D姿态估计 生猪","PoseGait-MT生猪跛行检测-3602",{"doi":8,"openalex_id":8,"authors":175,"venue":8,"cited_by_count":127,"oa_url":8,"card":176,"direction":132,"ingested_from":134},[],{"tldr":177,"method":178,"finding":179,"direction":132,"opportunity":180},"提出PoseGait-MT多任务框架，用多视角3D姿态与小波卷积同时检测生猪跛行程度和患肢。","多视角2D视频重建3D骨骼，提取步态时空特征，结合小波卷积WTConv。","5折交叉验证跛行程度准确率94.7%、患肢识别95.7%，独立测试集为89%和91.4%。","可探索轻量化实时部署与跨农场泛化，并融合多模态数据提升早期跛行预警能力。","2026-09-27T00:05:18.483996Z",{"id":183,"title":184,"url":185,"summary":186,"summary_zh":8,"content":187,"source_name":188,"source_url":8,"published_at":142,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":189,"score_detail":190,"sources":193,"tags":195,"primary_topic":200,"secondary_topics":201,"classification":202,"search_phrases":233,"slug":236,"view_count":112,"doi":8,"paper":8,"created_at":237},3029,"中国农业大学发布《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","https:\u002F\u002Fnews.cau.edu.cn\u002Fmtndnew\u002F799e04a34f6f4364bf553f20f41744c6.htm","9-18 WAFI2026国际智能育种论坛重磅发布《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。标准由首农食品集团牵头，联合19家科研院所与行业龙头编制，分别聚焦肉禽与生猪两大核心领域，对智能表型数据的采集对象、智能测定技术方法、设备要求、采集流程、数据格式与管理等作出统一规范。肉禽标准采用CT成像、B超回声定位、机器视觉、RFID个体识别等技术，RFID识别准确率达99%；猪标准整合CT成像、3D建模、智能B超和高精度承重四大技术。","**科技日报记者 华凌**\n\n9月18日下午，2026世界农业科技创新大会国际智能育种论坛在北京市平谷区召开。作为大会重要平行论坛，本次论坛以“智能育种·拥抱梦想”为主旨，搭建全球智能育种领域学术交流、技术创新与产业协同平台。中国农业大学校长陈卫，北京市平谷区委副书记葛海滨，平谷区副区长彭石，首农食品集团党委常委、副总经理马俊等出席会议。\n\n![Image 1](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F18\u002F583873_4d01feac-9785-4e17-9e5d-b98bd62a5732.jpeg)\n\n本届论坛由北京首农食品集团有限公司、北京市平谷区人民政府、中信农业科技股份有限公司、北京市农林科学院联合主办，北京生物种业创新联合体（北京智育生物种业创新中心）、北京首农股份有限公司、北京首农平谷农业科技创新投资发展有限公司承办。\n\n![Image 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":191,"substance":17,"depth":92,"authority":20,"freshness":21,"relevant":22,"comment":192},24,"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。",[194],{"name":188,"url":185},[28,196,197,198,199],"行业标准","种业振兴","智能育种","畜禽智能表型",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":203},{"candidates":204,"agricultural_evidence":47},[205,210,214,219,224,228],{"code":37,"score":55,"supported":47,"title":206,"abstract":207,"tags":209},[],[208],"畜禽",[],{"code":33,"score":55,"supported":47,"title":211,"abstract":212,"tags":213},[],[35],[],{"code":215,"score":22,"supported":14,"title":216,"abstract":217,"tags":218},"F1",[],[],[197],{"code":220,"score":22,"supported":14,"title":221,"abstract":222,"tags":223},"F2",[],[],[198],{"code":61,"score":22,"supported":14,"title":225,"abstract":226,"tags":227},[],[],[28],{"code":229,"score":22,"supported":14,"title":230,"abstract":231,"tags":232},"J1",[],[],[196],[234,235],"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":239,"title":240,"url":241,"summary":242,"summary_zh":243,"content":8,"source_name":244,"source_url":241,"published_at":245,"category":89,"cover_url":8,"hotness":13,"is_selected":14,"score":127,"score_detail":246,"sources":248,"tags":250,"primary_topic":251,"secondary_topics":252,"classification":253,"search_phrases":285,"slug":286,"view_count":55,"doi":287,"paper":288,"created_at":304},1385,"Estimating carbon emissions from pig farming in China: spatial–temporal differentiation and influencing factors","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1908712","The pig farming industry is an important source of greenhouse gas emissions in China, the world’s largest pork producer and consumer. However, existing studies have paid limited attention to the provincial differences, dynamic evolution, and spatial spillover effects of carbon emissions from pig farming. Based on panel data from 31 provinces from 2008 to 2020, this study used the life cycle assessment method to estimate carbon emissions from feed input, pig breeding, and energy consumption. Kernel density estimation and the Global Moran’s I index are used to examine the spatial–temporal evolution of carbon emissions, and the spatial Durbin model is applied to identify the influencing factors and their spatial effects. It is found that (1) between 2008 and 2020, carbon emissions from pig farming fluctuated across four stages but declined by the end of the study period, while carbon emission intensity showed a clear downward trend. (2) Pig farming showed a trend to shift from coastal regions to inland regions, while national carbon emission intensity decreased and inter-provincial disparities narrowed. (3) Carbon emissions from China’s pig farming industry exhibited significant spatial aggregation and positive spatial autocorrelation. (4) Environmental regulation directly reduced local carbon emissions, while industrial agglomeration level, pork share in meat structure, scale, and environmental regulation showed significant spatial spillover effects. Overall, economic development level, industrial agglomeration level, technological progress, and environmental regulation contributed to carbon emission reduction. These findings indicate that regional cooperation, optimized industrial layout, and targeted environmental regulation are essential for promoting the low-carbon transition of China’s pig farming industry.","生猪养殖业是中国作为全球最大猪肉生产国和消费国的重要温室气体排放源。然而，现有研究对生猪养殖碳排放的省际差异、动态演变及空间溢出效应关注有限。基于2008—2020年31个省份的面板数据，本研究采用生命周期评估法核算饲料投入、生猪饲养及能源消耗环节的碳排放量，运用核密度估计和全局莫兰指数考察碳排放的时空演变特征，并借助空间杜宾模型识别影响因素及其空间效应。研究发现：（1）2008—2020年间，生猪养殖碳排放经历四个阶段的波动变化，但研究期末较期初有所下降，碳排放强度呈现明显下降趋势；（2）生猪养殖呈现由沿海地区向内陆地区转移的趋势，全国碳排放强度下降且省际差距缩小；（3）中国生猪养殖业碳排放表现出显著的空间集聚性和正向空间自相关性；（4）环境规制直接降低了本地碳排放，而产业集聚水平、猪肉占肉类结构比重、养殖规模及环境规制均呈现显著的空间溢出效应。总体而言，经济发展水平、产业集聚水平、技术进步和环境规制对碳排放减排具有促进作用。上述研究结果表明，区域协作、优化产业布局和精准环境规制对于推动中国生猪养殖业低碳转型至关重要。","Frontiers in Sustainable Food Systems","2026-09-02T00:00:00Z",{"impact":127,"substance":127,"depth":127,"authority":127,"freshness":127,"relevant":127,"comment":247},"该论文聚焦生猪养殖碳排放，虽涉及农业，但未直接关联农业信息化、智慧农业或数字乡村主题，相关性不足。",[249],{"name":244,"url":241},[28],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":254},{"candidates":255,"agricultural_evidence":47},[256,261,268,275,281],{"code":33,"score":20,"supported":47,"title":257,"abstract":259,"tags":260},[258],"pig farming",[35,258],[],{"code":262,"score":46,"supported":47,"title":263,"abstract":264,"tags":267},"B7",[],[265,266],"温室","greenhouse",[],{"code":269,"score":46,"supported":47,"title":270,"abstract":271,"tags":274},"H4",[],[272,273],"碳排放","carbon emission",[],{"code":276,"score":55,"supported":47,"title":277,"abstract":278,"tags":280},"C4",[],[279],"饲料",[],{"code":61,"score":22,"supported":14,"title":282,"abstract":283,"tags":284},[],[],[28],[],"Estimatingcarbonemissionsfrompigfarmingi-1385","10.3389\u002Ffsufs.2026.1908712",{"doi":287,"openalex_id":289,"authors":290,"venue":244,"cited_by_count":127,"oa_url":241,"card":297,"direction":301,"ingested_from":303},"W7204987136",[291,293,295],{"name":292,"orcid":8},"Lilan Chen",{"name":294,"orcid":8},"Youxuan Sun",{"name":296,"orcid":8},"Yunjing Tang",{"tldr":298,"method":299,"finding":300,"direction":301,"opportunity":302},"估算中国生猪养殖碳排放时空差异及影响因素，发现碳排放下降但存在空间溢出效应。","生命周期评估、核密度估计、全局莫兰指数、空间杜宾模型。","碳排放呈下降趋势，空间集聚显著，环境规制和产业集聚有空间溢出效应。","农业绿色发展与碳","可研究生猪养殖碳排放的跨区域转移机制，或结合遥感数据细化县域尺度排放核算。","openalex","2026-09-02T23:30:07.683394Z",{"id":306,"title":307,"url":308,"summary":309,"summary_zh":8,"content":310,"source_name":311,"source_url":8,"published_at":312,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":313,"score_detail":314,"sources":316,"tags":318,"primary_topic":321,"secondary_topics":326,"classification":327,"search_phrases":342,"slug":345,"view_count":127,"doi":8,"paper":8,"created_at":346},5505,"广西以赛聚智赋能「AI+农业」 桂字号品牌与东盟水果IP赛道决出","https:\u002F\u002Fwww.agri.cn\u002Fzt\u002Fzhzz\u002Ftp\u002F202610\u002Ft20261019_8877223.htm","10月16日2026年广西智慧农业（数字乡村）创新大赛「桂字号」农业品牌推广赛道、中国（广西）—东盟水果贸易第一IP打造赛道决赛举行，55个项目同台竞技。自治区农业农村厅提出广西正按「北上广研发+广西集成+东盟应用」路径打造中国（广西）—东盟智慧农业先行区，去年一批项目已入选广西人工智能赋能千行百业拟补贴名单。","自治区农业农村厅党组成员、副厅长欧毅霞表示，本次大赛是落实中央一号文件关于因地制宜发展农业新质生产力、大力发展智慧农业部署的具体行动，也是推动人工智能与农业深度融合的重要举措。今年大赛聚焦“桂字号”农业品牌推广和中国（广西）—东盟水果贸易第一IP打造这两个赛道，主要基于三点考虑：一是广西农业资源丰富，“桂字号”品牌基础扎实，但数字化运营和品牌传播仍是短板，需要以赛聚智、以赛促创，借助数字化手段让好产品卖出好价钱；二是广西面向东盟的区位优势得天独厚，水果贸易体量大、潜力足，亟需打造具有国际影响力的第一IP，以数字技术赋能贸易全链条，提升通关、溯源、营销等环节效率；三是这两个赛道切口小、场景实、应用性强，能够有效打通“技术—产业—市场”闭环，推动创新链与产业链精准对接，让更多“金种子”项目在八桂大地上落地生根、开花结果。\n\n欧毅霞提出三点希望：专业组勇当产业升级“领跑者”，形成可复制、可推广的解决方案；学生组争做乡村振兴“生力军”，把创新火花带回课堂、实验室和田间地头；各方共筑智慧农业“生态圈”，推动技术、资本、人才、政策等要素集聚。\n\n广西农业职业技术大学党委书记韦波在致辞中表示，作为承办方，学校将联合广西数字乡村研究院，在赛道组委会统一领导下做好组织、服务与保障，推动赛事成果与教育教学、产业需求有效对接，发挥面向东盟农业职业教育合作优势，为“桂字号”出海、中国—东盟水果贸易双向流通搭建桥梁。\n\n据介绍，广西正按照“北上广研发+广西集成+东盟应用”路径，打造中国（广西）—东盟智慧农业先行区。智慧农业创新大赛不仅是竞技舞台，更是创新成果转化、产业赋能的重要平台。去年，广西首次举办智慧农业创新大赛并取得丰硕成果，一批新技术、新理念、新模式脱颖而出，逐步被大家看见、被市场认可；如捷佳润科技跨境农业智能决策系统、北部湾产权交易所集团AI赋能广西桑蚕茧丝绸全产业链项目入选广西人工智能赋能千行百业拟补贴项目名单；荣获“最佳潜力奖”的“桂鸟先飞—滴滴打药平台”获得地方政府投资扩容实现了升级蝶变。\n\n以赛为媒，向新而行。随着多个项目在决赛中展开比拼，一批聚焦品牌数字化运营、跨境贸易、品控溯源和IP打造的创新项目将在八桂大地加速落地。未来，广西将持续以大赛为纽带，推动技术、资本、人才、政策等要素向智慧农业集聚，促进创新链、产业链、资金链、人才链深度融合，让更多“金种子”项目生根发芽、茁壮成长，为“桂字号”香飘东盟、中国—东盟水果贸易双向流通注入新动能，助力中国（广西）—东盟智慧农业先行区建设迈上新台阶。","中国农业农村信息网 2026-10-19","2026-10-19T00:00:00Z",66,{"impact":93,"substance":92,"depth":20,"authority":158,"freshness":46,"relevant":22,"comment":315},"省级智慧农业赛事报道，聚焦AI赋能品牌与东盟水果贸易，有具体路径与落地案例，但属活动通稿，时效稍滞后。",[317],{"name":311,"url":308},[27,28,29,319,320],"桂字号","东盟水果贸易",{"code":71,"slug":322,"name":323,"path":324,"parent_code":325},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":328},{"candidates":329,"agricultural_evidence":47},[330,334,338],{"code":61,"score":112,"supported":47,"title":331,"abstract":332,"tags":333},[],[28],[28],{"code":71,"score":112,"supported":47,"title":335,"abstract":336,"tags":337},[],[27],[27],{"code":66,"score":22,"supported":14,"title":339,"abstract":340,"tags":341},[],[],[29],[343,344],"广西 智慧农业创新大赛","桂字号 东盟水果 IP","广西智慧农业创新大赛-5505","2026-10-22T00:06:58.572242Z",{"id":348,"title":349,"url":350,"summary":351,"summary_zh":8,"content":8,"source_name":352,"source_url":8,"published_at":353,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":354,"score_detail":355,"sources":357,"tags":359,"primary_topic":362,"secondary_topics":363,"classification":364,"search_phrases":390,"slug":393,"view_count":127,"doi":8,"paper":8,"created_at":394},5334,"让 AI 赋能民族乡高质量发展:从经验农业到数据农业的关键一跃","https:\u002F\u002Fbig5.china.com.cn\u002Fgate\u002Fbig5\u002Fszjj.china.com.cn\u002F2026-10\u002F14\u002Fcontent_43497785.html","评论指出 AI 应成为民族乡田野上的新农具。贵州雷山用 AI 导游+云端茶园盘活苗岭资源,广西崇左以 AI 重构甘蔗糖业链条;民族乡多语言、多习俗、山寨分散,治理成本高,数字乡村高质量发展行动计划(2026—2030 年)明确提出远程医疗、智慧政务、数字健康向边远地区倾斜。同时强调要防止技术悬浮(设备闲置、群众不会用)和文化失语(算法把民族故事包装成流量模板)。AI 须懂方言、界面要适老、数据权属要清晰,非遗内容要人工复核。","中国网 2026-10-14","2026-10-14T00:00:00Z",64,{"impact":93,"substance":92,"depth":18,"authority":158,"freshness":55,"relevant":22,"comment":356},"央媒评论结合贵州雷山、广西崇左案例与数字乡村行动计划，观点有实质，但属评论性报道且已发布近一周，时效偏弱，可作主题聚合而非每日精选。",[358],{"name":352,"url":350},[27,28,29,360,361],"数字治理","民族地区",{"code":71,"slug":322,"name":323,"path":324,"parent_code":325},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":365},{"candidates":366,"agricultural_evidence":47},[367,371,377,382,386],{"code":71,"score":112,"supported":47,"title":368,"abstract":369,"tags":370},[],[27],[27],{"code":372,"score":55,"supported":47,"title":373,"abstract":374,"tags":376},"A6",[],[375],"甘蔗",[],{"code":378,"score":22,"supported":14,"title":379,"abstract":380,"tags":381},"G5",[],[],[360],{"code":61,"score":22,"supported":14,"title":383,"abstract":384,"tags":385},[],[],[28],{"code":66,"score":22,"supported":14,"title":387,"abstract":388,"tags":389},[],[],[29],[391,392],"雷山 云端茶园 AI导游","崇左 甘蔗糖业 AI","雷山云端茶园AI导游-5334","2026-10-20T02:47:36.879141Z"]