[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2263":3,"related-2263":46},{"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":8,"secondary_topics":32,"classification":33,"search_phrases":40,"slug":43,"view_count":44,"doi":8,"paper":8,"created_at":45},2263,"中粮\"信贸链实践\"入选2026服贸会示范案例 单证业务成本降低30%","https:\u002F\u002Ffinance.cnr.cn\u002Fzghq\u002F20260910\u002Ft20260910_527810346.shtml","中粮集团\"中新跨境贸易全流程数智化服务解决方案——信贸链实践\"入选2026服贸会\"中国服务\"展区示范案例。该项目打通北京\"信贸链\"和新加坡TradeTrust两大数字贸易系统,实现20余种贸易单证电子化流转共享,回款时间从20天缩短至5天,操作成本降低30%。",null,"央广网北京9月10日消息（记者 万玉航）9月9日，2026年中国国际服务贸易交易会在北京正式开幕。中粮集团携多项全球农粮食品供应链领域服务贸易成果参展，“中粮集团全球粮食物流供应链”“中新跨境贸易全流程数智化服务解决方案——中粮集团信贸链实践” 两大案例入选本届服贸会 “中国服务” 展区示范案例。展会期间，中粮集团还牵头多家国内外企业发布联合倡议，以实际行动助力全球农粮领域服务贸易高质量发展，展现中国企业责任担当。\n\n数字贸易创新实践，有效压缩跨境贸易周期、降低运营成本。此次入选示范案例的 “信贸链实践”，落地于中国与新加坡之间罐头食品真实出口业务，也是全球首个打通跨平台、实现无纸化银行结算的贸易项目。该项目由中粮工业食品与新加坡一丰公司合作落地，货物从厦门港发运至新加坡港。在传统模式下，交易需要邮寄纸质单证开展银行托收，从发货到回款周期约20天；完成全流程数字化改造之后，回款时间缩短至5天左右，企业资金周转效率得到显著提升。\n\n在北京“两区”办与新加坡资讯通信媒体发展局推动下，项目打通北京“信贸链”和新加坡 TradeTrust 两大数字贸易系统，订单、运输、电子提单、银行托收、清关结算全链条线上协同。借助区块链技术保障单证真实安全可追溯，实现20余种贸易单证电子化流转共享。试点显示，该模式可将单证业务操作成本降低 30%，现已完成 8 轮试点，相关实践经验还在世界贸易组织研讨会上进行分享推广。\n\n中粮工业食品副总经理张静表示，后续将推动项目由试点走向常态化运行，依托开源生态吸纳更多合作伙伴，丰富产品品类与贸易应用场景，探索国际贸易供应链全新范式。\n\n此外，围绕全球粮食物流体系建设，中粮集团牵头发布《畅通内外粮食物流通道 提质全球农粮供应链协同效能联合倡议》。邦吉、中国移动、菜鸟、中国物流、农业银行、北大荒、中农发、首农等多家产业链企业共同参与倡议发布。\n\n农粮产品跨区域流通属性突出，现代物流是调配全球粮源、增强供应链韧性的重要抓手。这份联合倡议聚焦五大方向：共建多元畅通物流通道、深化多式联运应用、赋能智慧数字物流、推动绿色低碳发展与合规经营、强化产业生态协同，提出拓展远洋海运、边境陆路、多口岸分流跨境粮源通道，推广铁水、江海联运、“散改集” 等运输模式，落地在途监控、智能运力调度与物流溯源，打通物流、贸易、仓储数据，打造上下游贯通、内外联动、安全高效的现代化农粮物流产业生态。\n\n本届服贸会上，中粮集团多项产业链配套服务成果集中亮相。旗下中怡保险经纪推出《行稳致远：中国企业出海的全域风险管理实践》，依靠覆盖 120 余个国家和地区的服务网络，为共建“一带一路”和中资出海企业提供一体化风险管控方案；中粮资本展出“升悦”供应链金融服务，累计服务产业链经营主体超3000家，业务规模接近140亿元。面向国内消费市场，国民消费数字平台“中粮好物”正式发布，汇集2000余款自有及生态合作产品，打通全球优质农粮食品对接国内消费市场的渠道。\n\n作为全球农粮供应链重要组织者，中粮集团业务遍及六大洲近40个国家和地区，年农粮经营规模超1.8亿吨，供应链服务辐射140余个国家和地区，持续把全产业链与全球化布局优势转化为服务国际贸易的综合实力。\n\n中粮集团党组成员、副总经理庆立军表示，处在“十五五”开局之年，中粮集团致力于建设全球领先、值得信赖的农粮食品企业。企业将借助服贸会平台，持续深化对外合作，拓展合作赛道，创新合作模式，推动数智化、绿色化技术落地产业链各环节，携手合作伙伴搭建更稳定高效、抗风险能力更强的全球农粮供应体系，为保障世界粮食安全、促进全球经贸繁荣贡献力量。\n\n更多精彩资讯请在应用市场下载“央广网”客户端。欢迎提供新闻线索，24小时报料热线400-800-0088；消费者也可通过央广网“啄木鸟消费者投诉平台”线上投诉。版权声明：本文章版权归属央广网所有，未经授权不得转载。转载请联系：cnrbanquan@cnr.cn，不尊重原创的行为我们将追究责任。","央广网","2026-09-09T16:00:00Z","报道",10,false,78,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},22,20,16,14,6,1,"中粮信贸链打通中新跨境无纸化结算，单证成本降30%、回款由20天缩至5天，属农业供应链数字化的实质性突破案例，具备行业示范价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"区块链","跨境贸易","数字贸易","供应链数字化","农业走出去",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":37},"needs_review","2026-10-22.2","rules",{"candidates":38,"agricultural_evidence":14,"reason":39},[],"农业相关性需要复核",[41,42],"供应链数字化 农业走出去 数字贸易 跨境贸易","供应链数字化 农业走出去","供应链数字化农业走出去数字贸易跨境贸易-2263",2,"2026-09-13T00:04:03.462394Z",{"total":21,"page":22,"page_size":21,"items":47},[48,77,136,199,243,296],{"id":49,"title":50,"url":51,"summary":52,"summary_zh":8,"content":53,"source_name":54,"source_url":8,"published_at":55,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":56,"score_detail":57,"sources":60,"tags":62,"primary_topic":8,"secondary_topics":65,"classification":66,"search_phrases":72,"slug":75,"view_count":44,"doi":8,"paper":8,"created_at":76},2078,"中粮集团多项成果亮相2026服贸会 \"信贸链\"跨境贸易全流程数智化方案入选示范案例","https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1074413161_362042","9月9日2026年中国国际服务贸易交易会在京开幕,中粮集团携\"全球粮食物流供应链\"和\"信贸链实践\"两大案例入选\"中国服务\"展区示范案例。中粮工业食品与新加坡一丰公司落地中国—新加坡罐头食品出口业务,通过北京\"信贸链\"和新加坡TradeTrust两大数字贸易系统协同,订单、运输、电子提单、银行托收、清关结算全链条线上协同,跨境贸易回款周期从20天缩短至5天,单证业务操作成本降低30%,已完成8轮试点。","央广网北京9月10日消息（记者 万玉航）9月9日，2026年中国国际服务贸易交易会在北京正式开幕。中粮集团携多项全球农粮食品供应链领域服务贸易成果参展，“中粮集团全球粮食物流供应链”“中新跨境贸易全流程数智化服务解决方案——中粮集团信贸链实践” 两大案例入选本届服贸会 “中国服务” 展区示范案例。展会期间，中粮集团还牵头多家国内外企业发布联合倡议，以实际行动助力全球农粮领域服务贸易高质量发展，展现中国企业责任担当。\n\n数字贸易创新实践，有效压缩跨境贸易周期、降低运营成本。此次入选示范案例的 “信贸链实践”，落地于中国与新加坡之间罐头食品真实出口业务，也是全球首个打通跨平台、实现无纸化银行结算的贸易项目。该项目由中粮工业食品与新加坡一丰公司合作落地，货物从厦门港发运至新加坡港。在传统模式下，交易需要邮寄纸质单证开展银行托收，从发货到回款周期约20天；完成全流程数字化改造之后，回款时间缩短至5天左右，企业资金周转效率得到显著提升。\n\n在北京“两区”办与新加坡资讯通信媒体发展局推动下，项目打通北京“信贸链”和新加坡 TradeTrust 两大数字贸易系统，订单、运输、电子提单、银行托收、清关结算全链条线上协同。借助区块链技术保障单证真实安全可追溯，实现20余种贸易单证电子化流转共享。试点显示，该模式可将单证业务操作成本降低 30%，现已完成 8 轮试点，相关实践经验还在世界贸易组织研讨会上进行分享推广。\n\n中粮工业食品副总经理张静表示，后续将推动项目由试点走向常态化运行，依托开源生态吸纳更多合作伙伴，丰富产品品类与贸易应用场景，探索国际贸易供应链全新范式。\n\n此外，围绕全球粮食物流体系建设，中粮集团牵头发布《畅通内外粮食物流通道 提质全球农粮供应链协同效能联合倡议》。邦吉、中国移动、菜鸟、中国物流、农业银行、北大荒、中农发、首农等多家产业链企业共同参与倡议发布。\n\n农粮产品跨区域流通属性突出，现代物流是调配全球粮源、增强供应链韧性的重要抓手。这份联合倡议聚焦五大方向：共建多元畅通物流通道、深化多式联运应用、赋能智慧数字物流、推动绿色低碳发展与合规经营、强化产业生态协同，提出拓展远洋海运、边境陆路、多口岸分流跨境粮源通道，推广铁水、江海联运、“散改集” 等运输模式，落地在途监控、智能运力调度与物流溯源，打通物流、贸易、仓储数据，打造上下游贯通、内外联动、安全高效的现代化农粮物流产业生态。\n\n本届服贸会上，中粮集团多项产业链配套服务成果集中亮相。旗下中怡保险经纪推出《行稳致远：中国企业出海的全域风险管理实践》，依靠覆盖 120 余个国家和地区的服务网络，为共建“一带一路”和中资出海企业提供一体化风险管控方案；中粮资本展出“升悦”供应链金融服务，累计服务产业链经营主体超3000家，业务规模接近140亿元。面向国内消费市场，国民消费数字平台“中粮好物”正式发布，汇集2000余款自有及生态合作产品，打通全球优质农粮食品对接国内消费市场的渠道。\n\n作为全球农粮供应链重要组织者，中粮集团业务遍及六大洲近40个国家和地区，年农粮经营规模超1.8亿吨，供应链服务辐射140余个国家和地区，持续把全产业链与全球化布局优势转化为服务国际贸易的综合实力。\n\n中粮集团党组成员、副总经理庆立军表示，处在“十五五”开局之年，中粮集团致力于建设全球领先、值得信赖的农粮食品企业。企业将借助服贸会平台，持续深化对外合作，拓展合作赛道，创新合作模式，推动数智化、绿色化技术落地产业链各环节，携手合作伙伴搭建更稳定高效、抗风险能力更强的全球农粮供应体系，为保障世界粮食安全、促进全球经贸繁荣贡献力量。[返回搜狐，查看更多](https:\u002F\u002Fwww.sohu.com\u002F?strategyid=00001&spm=smpc.content-abroad.content.2.1789085147885k9baVj0 \"点击进入搜狐首页\")","央广网\u002F搜狐","2026-09-10T00:00:00Z",81,{"impact":17,"substance":18,"depth":19,"authority":58,"freshness":13,"relevant":22,"comment":59},13,"中粮“信贸链”实现跨境贸易全流程无纸化结算，回款周期由20天压缩至5天、单证成本降30%，属农粮供应链数智化的实质性突破，值得入选每日精选。",[61],{"name":54,"url":51},[27,63,28,29,64],"智慧物流","农粮供应链",[],{"status":67,"locked":14,"version":35,"method":36,"evidence":68},"unclassified",{"candidates":69,"agricultural_evidence":70,"reason":71},[],true,"缺少足够的主题证据",[73,74],"农粮供应链 数字贸易 智慧物流 跨境贸易","农粮供应链 数字贸易","农粮供应链数字贸易智慧物流跨境贸易-2078","2026-09-11T00:04:18.418829Z",{"id":78,"title":79,"url":80,"summary":81,"summary_zh":8,"content":8,"source_name":82,"source_url":8,"published_at":83,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":84,"score_detail":85,"sources":89,"tags":91,"primary_topic":96,"secondary_topics":102,"classification":103,"search_phrases":130,"slug":133,"view_count":134,"doi":8,"paper":8,"created_at":135},5507,"AI让「桂字号」品牌出圈又出海 东盟果链与一证通东盟等项目亮相","https:\u002F\u002Fnynct.gxzf.gov.cn\u002Fgxfb\u002Farticle\u002Fdetails?id=6a7e6ba3-51fe-45a4-9e5b-bedfb701be73","「东盟果链」项目用人工智能和机器人实时采集果园生长与农事数据，再通过大模型语义转成多语种营销内容；「一证通东盟」以深度学习检测维持六大国际认证合规，助力脆肉罗非鱼片出口印尼、马来西亚。学生组「乡音兴桂」以一村一故事、一村一乡音打造微信小程序，把方言文化与农产品溯源结合。","广西壮族自治区农业农村厅 2026-10-19","2026-10-19T00:00:00Z",65,{"impact":86,"substance":19,"depth":58,"authority":87,"freshness":21,"relevant":22,"comment":88},18,12,"省级农业农村厅发布的AI赋能品牌出海与跨境合规案例，有具体项目与出口对象，信息增量尚可，但属细分行业进展，时效略滞后。",[90],{"name":82,"url":80},[92,93,94,95,28],"数字乡村","农业人工智能","农产品溯源","农业品牌",{"code":97,"slug":98,"name":99,"path":100,"parent_code":101},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[],{"status":104,"locked":14,"version":35,"method":36,"evidence":105},"classified",{"candidates":106,"agricultural_evidence":70},[107,114,120,125],{"code":97,"score":108,"supported":70,"title":109,"abstract":110,"tags":113},7,[],[111,112],"大模型","深度学习",[93],{"code":115,"score":116,"supported":70,"title":117,"abstract":118,"tags":119},"E4",4,[],[94],[94],{"code":121,"score":22,"supported":14,"title":122,"abstract":123,"tags":124},"E5",[],[],[95],{"code":126,"score":22,"supported":14,"title":127,"abstract":128,"tags":129},"I6",[],[],[92],[131,132],"东盟果链 广西 人工智能","一证通东盟 罗非鱼","东盟果链广西人工智能-5507",0,"2026-10-22T00:06:58.704704Z",{"id":137,"title":138,"url":139,"summary":140,"summary_zh":141,"content":8,"source_name":142,"source_url":139,"published_at":143,"category":144,"cover_url":8,"hotness":13,"is_selected":14,"score":145,"score_detail":146,"sources":149,"tags":151,"primary_topic":156,"secondary_topics":161,"classification":162,"search_phrases":179,"slug":182,"view_count":134,"doi":183,"paper":184,"created_at":198},5079,"Lightweight Blockchain Based Authentication and Secure Data Sharing in UAV Networks","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23390977","Unmanned Aerial Vehicle (UAV) networks, oper- ating within Flying Ad-Hoc Networks (FANETs), play an in- dispensable role in contemporary surveillance, border patrol, smart agriculture, disaster recovery, and intelligent transporta- tion systems. Owing to their open wireless propagation channels, dynamic line-of-sight flight paths, and severe computational and battery resource constraints, UAVs are exceptionally susceptible to eavesdropping, message forgery, node impersonation, physical node capture, and denial-of-service (DoS) attacks. Conventional public key infrastructure (PKI) frameworks and centralized Certificate Authorities (CAs) exhibit heavy cryptographic over- head, substantial communication latency, and single-point-of- failure vulnerabilities that render them unsuitable for mission- critical aerial swarms. In this paper, we propose LBAS-UAV, a robust, lightweight, consortium blockchain-assisted mutual au- thentication, key agreement, and secure data sharing framework tailored specifically for resource-constrained UAV environments. LBAS-UAV integrates elliptic curve cryptography (ECC), physi- cal unclonable functions (PUFs), and keyed cryptographic hash functions to achieve mutual authentication without high-overhead bilinear pairings or certificate management. Dynamic UAV pseudonyms protect flight-path privacy and user untraceability. A consortium blockchain, maintained jointly by Ground Control Stations (GCS) and mobile edge servers under Practical Byzan- tine Fault Tolerance (PBFT) consensus, provides decentralized public-key validation, non-repudiation, and tamper-proof access auditing. To eliminate on-chain storage bottlenecks, high-volume aerial sensory telemetry is encrypted via AES-128-GCM and stored off-chain in the InterPlanetary File System (IPFS), while only 32-byte cryptographic content addresses and fine-grained access policies are registered on-chain. Formal security verification using the Real-Or-Random (ROR) oracle model, Burrows-Abadi- Needham (BAN) logic, and the automated AVISPA tool confirms that LBAS-UAV guarantees session key confidentiality and re- sists physical capture, replay, man-in-the-middle, and ephemeral secret leakage attacks. Extensive hardware benchmarking and network simulations demonstrate that LBAS-UAV demands only 0.318 ms of cryptographic execution time and 206 bytes of communication overhead on the UAV, outperforming recent state- of-the-art schemes by up to 38.4% in computation and 25.3% in energy efficiency.","无人机网络在飞行自组网(FANETs)中运行，在当代监视、边境巡逻、智慧农业、灾难恢复和智能交通系统中发挥着不可或缺的作用。由于其开放的无线传播信道、动态的视距飞行路径以及严重的计算和电池资源限制，无人机极易受到窃听、消息伪造、节点冒充、物理节点捕获和拒绝服务(DoS)攻击。传统的公钥基础设施(PKI)框架和集中式证书颁发机构(CAs)存在沉重的密码学开销、显著的通信延迟和单点故障漏洞，使其不适用于任务关键的空中集群。本文提出了LBAS-UAV，一种鲁棒的、轻量级的、联盟区块链辅助的相互认证、密钥协商和安全数据共享框架，专为资源受限的无人机环境量身定制。LBAS-UAV集成了椭圆曲线密码学(ECC)、物理不可克隆函数(PUFs)和带密钥的密码学哈希函数，无需高开销的双线性配对或证书管理即可实现相互认证。动态无人机假名保护飞行路径隐私和用户不可追踪性。由地面控制站(GCS)和移动边缘服务器在实用拜占庭容错(PBFT)共识下共同维护的联盟区块链，提供去中心化的公钥验证、不可否认性和防篡改的访问审计。为消除链上存储瓶颈，大容量空中传感遥测数据通过AES-128-GCM加密并存储在星际文件系统(IPFS)的链下，而仅将32字节的密码学内容地址和细粒度访问策略注册在链上。使用Real-Or-Random(ROR)预言机模型、Burrows-Abadi-Needham(BAN)逻辑和自动化AVISPA工具进行的形式化安全验证确认，LBAS-UAV保证会话密钥机密性，并能抵抗物理捕获、重放、中间人和临时秘密泄露攻击。广泛的硬件基准测试和网络仿真表明，LBAS-UAV在无人机上仅需0.318毫秒的密码学执行时间和206字节的通信开销，在计算方面优于近期最先进的方案高达38.4%，在能效方面优于25.3%。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-15T00:00:00Z","论文",74,{"impact":87,"substance":17,"depth":86,"authority":58,"freshness":147,"relevant":22,"comment":148},9,"面向资源受限无人机网络的轻量级区块链认证与安全数据共享方案，方法新颖、验证充分，对智慧农业无人机应用有参考价值，但属通用技术论文，农业场景关联较间接。",[150],{"name":142,"url":139},[152,153,154,27,155],"智慧农业","无人机","农业遥感","数据安全",{"code":157,"slug":158,"name":159,"path":160,"parent_code":101},"I1","smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture",[],{"status":104,"locked":14,"version":35,"method":36,"evidence":163},{"candidates":164,"agricultural_evidence":70},[165,170,175],{"code":157,"score":108,"supported":70,"title":166,"abstract":167,"tags":169},[],[152,168],"smart agriculture",[152],{"code":171,"score":22,"supported":14,"title":172,"abstract":173,"tags":174},"I3",[],[],[154],{"code":126,"score":22,"supported":14,"title":176,"abstract":177,"tags":178},[],[],[155],[180,181],"UAV 区块链 认证 数据共享","LBAS-UAV 无人机 网络安全","UAV区块链认证数据共享-5079","10.5281\u002Fzenodo.23390977",{"doi":183,"openalex_id":185,"authors":186,"venue":142,"cited_by_count":134,"oa_url":139,"card":191,"direction":195,"ingested_from":197},"W7222323013",[187,189],{"name":188,"orcid":8},"B.  Gnanasankari",{"name":190,"orcid":8},"R.  Padmanaban",{"tldr":192,"method":193,"finding":194,"direction":195,"opportunity":196},"提出轻量级联盟链认证与安全数据共享框架LBAS-UAV，用于资源受限无人机网络。","融合ECC、PUF与哈希函数，PBFT联盟链结合IPFS链下存储，AES-128","仅需0.318ms计算与206字节通信开销，计算性能提升38.4%，可抵御多种攻击。","智慧农业 \u002F 农业物联网","可将该轻量认证框架迁移至农业无人机植保与农田监测场景，研究能耗与实时性权衡。","openalex","2026-10-16T23:30:08.237868Z",{"id":200,"title":201,"url":202,"summary":203,"summary_zh":8,"content":8,"source_name":204,"source_url":8,"published_at":8,"category":144,"cover_url":8,"hotness":13,"is_selected":14,"score":205,"score_detail":206,"sources":209,"tags":211,"primary_topic":8,"secondary_topics":215,"classification":216,"search_phrases":229,"slug":232,"view_count":134,"doi":8,"paper":233,"created_at":242},4964,"数字技术重构乡村旅游产业链的逻辑与路径","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fshkxj\u002F503.html","李鹏(平顶山学院旅游与规划学院;中南财经政法大学工商管理学院)发表的研究基于'技术赋能—资源整合—价值共享'逻辑主线,系统阐释数字技术通过数据要素驱动、生态化网络协同、可行能力提升与四链协同机制,推动乡村旅游产业链从效率优先向公平与效率并重转型。大数据平台的动态供需匹配、区块链技术的可信追溯体系、AIoT设备的自动化运营,有效破解信息孤岛与资源错配难题。可行能力理论的引入,为技术赋能与共同富裕的传导机制提供理论支撑。","《社会科学家》投稿参考范文 2026 年 5 月",66,{"impact":19,"substance":86,"depth":207,"authority":58,"freshness":44,"relevant":22,"comment":208},17,"理论性论文，从技术赋能视角阐释乡村旅游产业链数字化转型，对数字乡村研究有参考价值，但时效性偏弱。",[210],{"name":204,"url":202},[92,212,27,213,214],"共同富裕","乡村旅游","AIoT",[],{"status":34,"locked":14,"version":35,"method":36,"evidence":217},{"candidates":218,"agricultural_evidence":14,"reason":39},[219,224],{"code":220,"score":58,"supported":70,"title":221,"abstract":222,"tags":223},"G4",[213],[213],[213,212],{"code":126,"score":116,"supported":70,"title":225,"abstract":226,"tags":228},[],[227],"数据要素",[92],[230,231],"平顶山学院 数字技术 乡村旅游","乡村旅游 共同富裕 数字乡村 区块链","平顶山学院数字技术乡村旅游-4964",{"doi":8,"openalex_id":8,"authors":234,"venue":8,"cited_by_count":134,"oa_url":8,"card":235,"direction":239,"ingested_from":241},[],{"tldr":236,"method":237,"finding":238,"direction":239,"opportunity":240},"阐释数字技术通过四链协同机制重构乡村旅游产业链、推动公平与效率并重的逻辑与路径。","基于'技术赋能—资源整合—价值共享'框架，结合大数据、区块链、AIoT与可行能力","数字技术破解信息孤岛与资源错配，推动乡村旅游产业链从效率优先转向公平与效率并重。","数字乡村与农业信息化","可实证检验大数据供需匹配、区块链追溯对农户增收与共同富裕的传导效应及区域异质性。","agent","2026-10-15T00:06:08.407354Z",{"id":244,"title":245,"url":246,"summary":247,"summary_zh":8,"content":8,"source_name":248,"source_url":8,"published_at":249,"category":144,"cover_url":8,"hotness":13,"is_selected":14,"score":56,"score_detail":250,"sources":254,"tags":256,"primary_topic":260,"secondary_topics":265,"classification":266,"search_phrases":283,"slug":286,"view_count":22,"doi":287,"paper":288,"created_at":295},4644,"农业产业链可信数据空间:理论框架、运行机制与实施路径(Trusted Data Space for the Agricultural Industry Chain: Theoretical Framework, Operating Mechanism, and Implementation Path)","https:\u002F\u002Fwww.smartag.net.cn\u002FCN\u002F10.12133\u002Fj.smartag.SA202605005","北京工商大学许继平团队基于《可信数据空间技术架构》标准,构建农业产业链可信数据空间框架,涵盖本体-元数据-知识图谱语义互操作、连接器受控交互、隐私计算与区块链存证。依托2023—2025年某市约12万条食品安全抽检与有机农场业务流程开展场景化验证,形成数据可信流转闭环。局限:仅在某市单场景验证,跨域推广效果待评估。","智慧农业(中英文) 2026年第4期 2026-10-09","2026-10-09T00:00:00Z",{"impact":86,"substance":17,"depth":251,"authority":20,"freshness":252,"relevant":22,"comment":253},19,8,"核心期刊论文，提出农业产业链可信数据空间框架并以约12万条抽检数据验证，方法新颖、数据扎实，但仅单市单场景验证，推广性待观察。",[255],{"name":248,"url":246},[152,27,257,258,259],"隐私计算","可信数据空间","食品安全追溯",{"code":115,"slug":261,"name":262,"path":263,"parent_code":264},"food-safety","质量安全与溯源","\u002Ftopic\u002Ffood-supply\u002Ffood-safety","E",[],{"status":104,"locked":14,"version":35,"method":36,"evidence":267},{"candidates":268,"agricultural_evidence":70},[269,275,279],{"code":115,"score":270,"supported":70,"title":271,"abstract":272,"tags":274},3,[],[273],"食品安全",[],{"code":157,"score":22,"supported":14,"title":276,"abstract":277,"tags":278},[],[],[152],{"code":126,"score":22,"supported":14,"title":280,"abstract":281,"tags":282},[],[],[258],[284,285],"农业产业链 可信数据空间","许继平 食品安全抽检","农业产业链可信数据空间-4644","10.12133\u002Fj.smartag.sa202605005",{"doi":287,"openalex_id":8,"authors":289,"venue":8,"cited_by_count":134,"oa_url":8,"card":290,"direction":239,"ingested_from":241},[],{"tldr":291,"method":292,"finding":293,"direction":239,"opportunity":294},"构建农业产业链可信数据空间框架，并在某市食品安全场景验证数据可信流转闭环。","基于可信数据空间标准，融合语义互操作、连接器、隐私计算与区块链，用约12万条抽检","框架可实现农业产业链数据可信流转闭环，但仅单场景验证，跨域推广效果待评估。","可研究跨域、多产业链场景下的可信数据空间推广机制与互操作标准适配问题。","2026-10-11T00:09:47.452615Z",{"id":297,"title":298,"url":299,"summary":300,"summary_zh":301,"content":8,"source_name":302,"source_url":299,"published_at":303,"category":144,"cover_url":8,"hotness":304,"is_selected":14,"score":305,"score_detail":306,"sources":308,"tags":313,"primary_topic":316,"secondary_topics":321,"classification":328,"search_phrases":358,"slug":361,"view_count":134,"doi":362,"paper":363,"created_at":381},4416,"Agricultural blockchain readiness environment and carbon emission intensity in maize production: evidence from provincial panel data in major maize-producing areas of China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1942225","China’s major maize-producing regions face the joint challenge of sustaining food production and reducing agricultural emissions. Existing research on digital agriculture often uses broad digitalization measures and therefore does not distinguish the regional conditions that may enable information management, traceability, and verification applications associated with blockchain. This study constructs an Agricultural Blockchain Readiness Environment Index (ABRE Index, block_index) using entropy weighting across digital infrastructure, the agricultural industrial base, and policy support. The index measures regional readiness and enabling conditions rather than realized blockchain adoption. Using 180 province-year observations for 12 major maize-producing provinces from 2010 to 2024, we estimate two-way fixed-effects models with province-clustered inference and conduct supplementary robustness analyses. The ABRE Index is negatively associated with carbon emissions per unit of maize-sown area, with the baseline coefficient statistically significant at the 10% level under conventional clustered inference and supported by supplementary inference procedures. The coefficient remains negative in all 12 leave-one-out specifications, is statistically significant at the 10% level or better in 10 specifications, and the wild cluster bootstrap test yields p = 0.0415. The index is positively correlated with blockchain-related patent activity ( r = 0.1883, p = 0.0114), although this correlation does not establish that the index measures realized adoption. The mechanism analysis is consistent with an organizational pathway through agricultural socialized services: the ABRE Index is positively associated with service_ratio (0.1099, p \u003C 0.01), and agricultural socialized services are negatively associated with ce_area (−2.2765, p \u003C 0.05). The interaction with the high-development indicator is negative but does not reach the conventional 10% significance threshold (−0.1499, p = 0.103). Overall, the evidence supports an associational relationship between blockchain-readiness conditions and maize-production carbon-emission intensity; it does not establish a strictly causal effect of blockchain adoption.","中国主要玉米产区面临保障粮食生产与减少农业排放的双重挑战。现有数字农业研究多采用宽泛的数字化指标，因而未能区分可能支撑与区块链相关的信息管理、追溯和验证应用的区域条件。本研究基于数字基础设施、农业产业基础和政策支持三个维度，采用熵权法构建了农业区块链就绪环境指数（ABRE Index，block_index）。该指数衡量的是区域就绪程度和使能条件，而非已实现的区块链采用。利用2010年至2024年12个主要玉米生产省份的180个省份—年份观测值，我们估计了双向固定效应模型，采用省份聚类推断，并进行了补充稳健性分析。ABRE指数与单位玉米播种面积碳排放呈负相关，基准系数在常规聚类推断下于10%水平上统计显著，并得到补充推断程序的支持。在全部12个逐一剔除（leave-one-out）设定中，该系数均保持为负，其中10个设定在10%或更优水平上统计显著，野生聚类自举检验（wild cluster bootstrap test）得出p = 0.0415。该指数与区块链相关专利活动呈正相关（r = 0.1883，p = 0.0114），尽管这一相关性并不能证明该指数衡量的是已实现的采用。机制分析与通过农业社会化服务发挥作用的组织路径相一致：ABRE指数与service_ratio呈正相关（0.1099，p \u003C 0.01），农业社会化服务与ce_area呈负相关（−2.2765，p \u003C 0.05）。与高发展指标的交互项为负，但未达到常规10%显著性阈值（−0.1499，p = 0.103）。总体而言，证据支持区块链就绪条件与玉米生产碳排放强度之间存在关联关系；但并未确立区块链采用的严格因果效应。","Frontiers in Sustainable Food Systems","2026-10-07T00:00:00Z",25,80,{"impact":86,"substance":17,"depth":86,"authority":58,"freshness":147,"relevant":22,"comment":307},"基于12个玉米主产省2010—2024年面板数据构建农业区块链就绪环境指数，发现其与玉米碳排放强度负相关，方法规范、数据规模可观，但结论仅为关联性而非因果，属细分领域实证进展。",[309,310],{"name":302,"url":299},{"name":311,"url":312},"Frontiers in Sustainable Food Systems 2026 年 10 月 07 日 Volume 10 Sec. Land, Livelihoods and Food Security","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1942225\u002Ffull",[92,152,314,315,27],"玉米","农业碳排放",{"code":317,"slug":318,"name":314,"path":319,"parent_code":320},"A3","maize","\u002Ftopic\u002Ffield-crops\u002Fmaize","A",[322],{"code":323,"slug":324,"name":325,"path":326,"parent_code":327},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon","H",{"status":104,"locked":14,"version":35,"method":36,"evidence":329},{"candidates":330,"agricultural_evidence":70},[331,336,342,348,354],{"code":317,"score":332,"supported":70,"title":333,"abstract":334,"tags":335},15,[318],[314,318],[314],{"code":323,"score":87,"supported":70,"title":337,"abstract":339,"tags":341},[338],"carbon emission",[340],"碳排放",[315],{"code":157,"score":108,"supported":70,"title":343,"abstract":344,"tags":347},[],[345,346],"数字农业","digital agriculture",[152],{"code":349,"score":270,"supported":70,"title":350,"abstract":351,"tags":353},"G2",[],[352],"社会化服务",[],{"code":126,"score":22,"supported":14,"title":355,"abstract":356,"tags":357},[],[],[92],[359,360],"农业区块链 玉米 碳排放","玉米主产区 区块链 碳强度","农业区块链玉米碳排放-4416","10.3389\u002Ffsufs.2026.1942225",{"doi":362,"openalex_id":364,"authors":365,"venue":302,"cited_by_count":134,"oa_url":374,"card":375,"direction":195,"ingested_from":197},"W7220869193",[366,369,371],{"name":367,"orcid":368},"Pengfei Zhou","https:\u002F\u002Forcid.org\u002F0000-0003-2117-7967",{"name":370,"orcid":8},"Zhiyi Hu",{"name":372,"orcid":373},"Yang Shen","https:\u002F\u002Forcid.org\u002F0000-0002-6781-6915","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1942225\u002Fpdf",{"tldr":376,"method":377,"finding":378,"direction":379,"opportunity":380},"构建农业区块链就绪环境指数，分析其与玉米生产碳排放强度的关联。","熵权法构建ABRE指数，用2010-2024年12省面板数据做双向固定效应模型。","ABRE指数与玉米单位播种面积碳排放负相关，机制可能通过农业社会化服务实现。","农业绿色发展与碳","可探究区块链就绪环境通过社会化服务减碳的因果机制，并拓展到其他主粮作物或区域。","2026-10-08T23:30:07.668939Z"]