[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-278":3,"related-278":100},{"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":22,"tags":24,"primary_topic":8,"secondary_topics":31,"classification":32,"search_phrases":94,"slug":97,"view_count":98,"doi":8,"paper":8,"created_at":99},278,"广东省农业农村厅征集农业AI基础能力与智能体研发需求——围绕智能体开发框架、数据治理、本体建模、智能装备四大方向","https:\u002F\u002Fdara.gd.gov.cn\u002Fgkmlpt\u002Fcontent\u002F4\u002F4939\u002Fpost_4939559.html","广东省农业农村厅8月7日发布《关于征集农业AI基础能力与智能体研发需求的通知》(根据粤农农函〔2026〕492号《关于印发「人工智能+」农业农村领域应用推进方案的通知》部署),面向各地级以上市农业农村局、各有关单位征集农业AI基础能力与智能体研发需求。四大征集方向:一是农业AI共性基础能力,包括智能体开发框架关键技术(接口规范、消息交互协议、组件化封装、任务编排与多智能体协同)、农业数据治理关键技术(数据采集标准、元数据规范、多源数据融合、质量自动检测、数据服务总线API规范)、农业本体建模关键技术(本体表示框架、推理规则、编码范式、知识自动抽取、本体半自动构建);二是农业场景智能体研发,围绕种植、畜禽、水产等领域典型场景(如水稻病害识别、水稻物候期识别等),研发场景智能体,统一执行感知、推理、输出三层标准接口,配套建设场景本体库、标准数据集、领域数据采集标准三类共享资产;三是农业智能装备与关键部件,研发智慧农业芯片、物联网设备、AI视觉识别终端等关键部件,耕种管收、饲喂巡检、捕捞分选等智能作业装备,智能农机协同作业操作系统;四是农业智能服务,围绕环境监测、应急救灾、生产流通、科技成果转化等智能化技术与服务模式研发需求,提升全产业链服务效能。",null,"一是智能体开发框架关键技术。研究智能体接口规范、消息交互协议及接入测试验收方法，突破智能体组件化封装、任务编排与多智能体协同等关键技术。\n\n二是农业数据治理关键技术。研究数据采集标准、元数据规范与全流程数据质量管控方法，设计数据服务总线API规范，突破多源数据融合、质量自动检测等关键技术。\n\n三是农业本体建模关键技术。研究本体表示框架、推理规则、编码范式及建模质量评估方法，突破农业知识自动抽取、本体半自动构建等关键技术。\n\n（二）农业场景智能体研发。围绕种植、畜禽、水产等领域典型场景，如水稻病害识别、水稻物候期识别等，研发场景智能体，统一执行感知、推理、输出三层标准接口；配套建设场景本体库、标准数据集、领域数据采集标准三类共享资产。\n\n（三）农业智能装备与关键部件。面向种植、畜禽、水产、生物育种等领域，研发智慧农业芯片、物联网设备、AI视觉识别终端等关键部件；耕种管收、饲喂巡检、捕捞分选等智能作业装备；智能农机协同作业操作系统。\n\n（四）农业智能服务。围绕农业全产业链服务需求，征集环境监测、应急救灾、生产流通、科技成果转化等智能化技术与服务模式研发需求，应用人工智能新技术拓展服务场景，提升全产业链服务效能。","广东省农业农村厅 2026-08-07","2026-08-07T00:00:00Z","政策",10,false,84,{"impact":17,"substance":17,"depth":18,"authority":19,"freshness":13,"relevant":20,"comment":21},22,18,12,1,"省级政策征集农业AI研发需求，方向明确，具有行业指导意义，信息增量高。",[23],{"name":10,"url":6},[25,26,27,28,29,30],"广东","人工智能+农业","农业智能体","AI基础能力","数据治理","本体建模",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":41,"reason":93},[38,46,52,58,64,70,76,82,88],{"code":39,"score":40,"supported":41,"title":42,"abstract":43,"tags":45},"A1",3,true,[],[44],"水稻",[],{"code":47,"score":40,"supported":41,"title":48,"abstract":49,"tags":51},"C",[],[50],"畜禽",[],{"code":53,"score":40,"supported":41,"title":54,"abstract":55,"tags":57},"D",[],[56],"水产",[],{"code":59,"score":40,"supported":41,"title":60,"abstract":61,"tags":63},"F5",[],[62],"农机",[],{"code":65,"score":40,"supported":41,"title":66,"abstract":67,"tags":69},"G1",[],[68],"成果转化",[],{"code":71,"score":40,"supported":41,"title":72,"abstract":73,"tags":75},"I1",[],[74],"智慧农业",[],{"code":77,"score":40,"supported":41,"title":78,"abstract":79,"tags":81},"I5",[],[80],"物联网",[],{"code":83,"score":84,"supported":14,"title":85,"abstract":86,"tags":87},"I2",2,[],[],[26,27],{"code":89,"score":20,"supported":14,"title":90,"abstract":91,"tags":92},"I6",[],[],[29],"多个产业证据相当，需要确认主归属",[95,96],"人工智能+农业 农业智能体 AI基础能力 数据治理","人工智能+农业 农业智能体","人工智能+农业农业智能体AI基础能力数据治理-278",5,"2026-08-07T23:57:47.789392Z",{"total":101,"page":20,"page_size":101,"items":102},6,[103,135,198,260,300,375],{"id":104,"title":105,"url":106,"summary":107,"summary_zh":8,"content":108,"source_name":109,"source_url":8,"published_at":110,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":111,"score_detail":112,"sources":114,"tags":116,"primary_topic":8,"secondary_topics":120,"classification":121,"search_phrases":130,"slug":133,"view_count":101,"doi":8,"paper":8,"created_at":134},476,"广东省农业AI研发需求征集中 8月15日截止","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7672579447019438592","广东省依据《关于印发\"人工智能+\"农业农村领域应用推进方案的通知》(粤农农函〔2026〕492号)面向各地级以上市农业农村局及有关单位征集农业AI基础能力与智能体研发需求,涵盖智能体开发框架、农业数据治理、农业本体建模、农业场景智能体研发、农业智能装备关键部件、农业智能服务五大方向,8月15日截止填报。","根据《关于印发“人工智能+”农业农村领域应用推进方案的通知》（粤农农函〔2026〕492号）关于加强智慧农业技术研究、推动人工智能赋能农业关键领域创新的部署，**现面向各地级以上市农业农村局、各有关单位征集农业AI基础能力与智能体研发需求**。\n\n**征集内容**\n\n**农业AI共性基础能力**\n\n**一是智能体开发框架关键技术。**研究智能体接口规范、消息交互协议及接入测试验收方法，突破智能体组件化封装、任务编排与多智能体协同等关键技术。\n\n**二是农业数据治理关键技术。**研究数据采集标准、元数据规范与全流程数据质量管控方法，设计数据服务总线API规范，突破多源数据融合、质量自动检测等关键技术。\n\n**三是农业本体建模关键技术。**研究本体表示框架、推理规则编码范式及建模质量评估方法，突破农业知识自动抽取、本体半自动构建等关键技术。\n\n**农业场景智能体研发**\n\n围绕种植、畜禽、水产等领域典型场景，如水稻病害识别、水稻物候期识别等，研发场景智能体，统一执行感知、推理、输出三层标准接口；配套建设场景本体库、标准数据集、领域数据采集标准三类共享资产。\n\n**农业智能装备与关键部件**\n\n面向种植、畜禽、水产、生物育种等领域，研发智慧农业芯片、物联网设备、AI视觉识别终端等关键部件；耕种管收、饲喂巡检、捕捞分选等智能作业装备；智能农机协同作业操作系统。\n\n**农业智能服务**\n\n围绕农业全产业链服务需求，征集环境监测、应急救灾、生产流通、科技成果转化等智能化技术与服务模式研发需求，应用人工智能新技术拓展服务场景，提升全产业链服务效能。\n\n**征集与推荐**\n\n各地级以上市农业农村管理部门负责统筹本辖区需求征集，组织高校、科研院所及涉农企业填报《研发需求征集表》（附件1），统一汇总填报《研发需求汇总表》（附件2），确保材料齐全、真实有效。\n\n**填报要求**\n\n**（一）需求描述。**写明产业应用背景、拟解决的关键技术问题及需求的紧迫性、必要性，说明当前技术水平现状和存在的瓶颈，可附国内外技术对比情况。智能体类需求须说明拟开发的智能体场景、遵循的感知推理输出三层标准接口及数据与知识来源；共性基础能力类需求须说明拟制定的标准规范或拟突破的关键技术；装备类需求须说明拟研发的关键部件、智能作业装备类型及主要用途。服务类需求说明具体服务场景，拟采用的智能化技术路径及拟形成的服务模式创新。\n\n**（二）攻关目标。**明确现状基准值与攻关目标值，如识别准确率、作业效率、数据质量合格率、标准规范文件数量、智能体数量、样机台套数等核心指标，量化可考核。\n\n**（三）预期成果。**说明拟形成的标志性成果及应用场景，包括共性关键技术突破、标准规范制定、场景智能体及配套场景本体库和标准数据集等共享资产、智慧农业芯片等关键部件和智能作业装备样机、智能化服务产品、服务模式或解决方案，尽量量化。\n\n实施周期为2027至2028年，经费按单项不超过100万元测算，不得与已获支持项目重复申报，涉密内容不得填报。\n\n**材料报送**\n\n相关材料请于2026年**8月15日前**通过粤政易发至联系人。\n\n联系人：科技教育处 常东\n\n邮箱：kczx_changd@gd.gov.cn\n\n编辑：广东农业农村","广东农业农村 2026-08-11","2026-08-10T16:00:00Z",74,{"impact":18,"substance":17,"depth":18,"authority":13,"freshness":101,"relevant":20,"comment":113},"广东省农业AI研发需求征集，省级政策，内容具体，时效性稍差。",[115],{"name":109,"url":106},[25,117,26,118,119],"智能体","粤农农函","征集",[],{"status":122,"locked":14,"version":34,"method":35,"evidence":123},"unclassified",{"candidates":124,"agricultural_evidence":41,"reason":129},[125],{"code":83,"score":84,"supported":14,"title":126,"abstract":127,"tags":128},[],[],[26,117],"缺少足够的主题证据",[131,132],"人工智能+农业 粤农农函 智能体 广东","人工智能+农业 粤农农函","人工智能+农业粤农农函智能体广东-476","2026-08-13T23:53:43.967608Z",{"id":136,"title":137,"url":138,"summary":139,"summary_zh":140,"content":8,"source_name":141,"source_url":138,"published_at":142,"category":143,"cover_url":8,"hotness":13,"is_selected":14,"score":144,"score_detail":145,"sources":149,"tags":151,"primary_topic":8,"secondary_topics":156,"classification":157,"search_phrases":176,"slug":179,"view_count":180,"doi":181,"paper":182,"created_at":197},5586,"Differential-Privacy Evaluation for Computer Agriculture Cooperative Yield Aggregation Under Smallholder Re-Identification Risk: An Artificial Intelligence Membership-Inference Audit","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23544249","Cooperative yield aggregation is the standard route by which smallholder harvests become the training data of agricultural artificial intelligence, yet the privacy guarantees attached to those aggregates are rarely audited against the re-identification risk that smallholder membership actually carries. the present analysis treats the differential-privacy budget as a design parameter of a membership-inference audit and characterises, analytically and by replication, how the before-after-control-impact estimator behaves when the privacy mechanism is layered onto cooperative-level aggregation. The analysis is a design study: no observational data are used or claimed. Under a declared variance structure with between-cluster SD = 6.0, residual SD = 4.5 and intraclass correlation = 0.640, power was estimated across 2000 replications per design cell for cluster counts of 8, 16, 24 and 32 and effects of 3, 5 and 8 percentage points. The design requires 54 clusters to detect a 5-percentage-point effect at 80% power, a requirement that exceeds every cluster count examined and that the differential-privacy mechanism can only worsen by inflating residual variance. The contribution is a membership-inference audit protocol that reports the privacy budget, the intraclass correlation and the detectable effect jointly, so that a cooperative's disclosure claim is bounded by the same arithmetic that bounds its inferential claim.","合作产量聚合是小农户收成转化为农业人工智能训练数据的标准路径，然而这些聚合数据所附带的隐私保障，很少针对小农户成员身份实际带来的再识别风险进行审计。本分析将差分隐私预算视为成员推断审计的设计参数，并通过解析推导与重复实验，刻画当隐私机制叠加于合作社层级聚合之上时，前后对照影响估计量（before-after-control-impact estimator）的表现。本分析属于设计研究：不使用也不主张任何观测数据。在声明的方差结构下——组间标准差=6.0、残差标准差=4.5、组内相关系数=0.640——针对聚类数为8、16、24和32以及效应量为3、5和8个百分点的设计单元，每个单元重复2000次以估计检验功效。该设计需要54个聚类才能在80%功效下检测到5个百分点的效应，这一要求超过了所考察的所有聚类数，而差分隐私机制只会通过膨胀残差方差使情况进一步恶化。本研究的贡献在于一套成员推断审计协议，该协议联合报告隐私预算、组内相关系数和可检测效应，从而使合作社的披露声明与其推断声明受到同一套算术的约束。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z","论文",69,{"impact":146,"substance":147,"depth":18,"authority":19,"freshness":13,"relevant":20,"comment":148},8,21,"设计研究提出将隐私预算、组内相关与可检测效应联合报告的成员推断审计协议，方法新颖但无实测数据，属细分方法学进展。",[150],{"name":141,"url":138},[152,29,153,154,155],"农业人工智能","小农户","差分隐私","产量聚合",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":158},{"candidates":159,"agricultural_evidence":41,"reason":93},[160,167,172],{"code":161,"score":162,"supported":41,"title":163,"abstract":165,"tags":166},"G2",15,[164],"smallholder",[153,164],[153],{"code":83,"score":162,"supported":41,"title":168,"abstract":170,"tags":171},[169],"artificial intelligence",[152,169],[152],{"code":89,"score":20,"supported":14,"title":173,"abstract":174,"tags":175},[],[],[29],[177,178],"差分隐私 小农户 产量聚合","成员推断 隐私审计 农业AI","差分隐私小农户产量聚合-5586",0,"10.5281\u002Fzenodo.23544249",{"doi":181,"openalex_id":183,"authors":184,"venue":141,"cited_by_count":180,"oa_url":138,"card":189,"direction":195,"ingested_from":196},"W7223099347",[185,187],{"name":186,"orcid":8},"Momodou Lamin Bah",{"name":188,"orcid":8},"Haddy Trawally",{"tldr":190,"method":191,"finding":192,"direction":193,"opportunity":194},"用成员推断审计评估小农户合作社产量聚合的差分隐私预算与可检测效应。","设计研究，基于BACI估计量与2000次重复模拟，分析聚类数和隐私预算的影响。","检测5个百分点效应需54个聚类，超出所有考察规模，差分隐私还会增大残差方差。","数字乡村与农业信息化","可研究小样本合作社下隐私预算与统计功效的权衡，开发联合报告隐私与推断边界的审计工具。","农业人工智能与决策模型","openalex","2026-10-22T11:21:01.436271Z",{"id":199,"title":200,"url":201,"summary":202,"summary_zh":8,"content":203,"source_name":204,"source_url":8,"published_at":205,"category":206,"cover_url":8,"hotness":13,"is_selected":14,"score":207,"score_detail":208,"sources":213,"tags":215,"primary_topic":219,"secondary_topics":223,"classification":229,"search_phrases":255,"slug":258,"view_count":180,"doi":8,"paper":8,"created_at":259},5432,"广东农科院水稻所主办 2026 年再生稻技术培训和现场观摩会在始兴举行","https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F573077.shtm","广东省农业科学院水稻研究所主办的 2026 年再生稻技术培训和现场观摩会在韶关市始兴县举行，面向粤北「一季有余、两季不足」光温受限区域挖掘周年粮食产能。始兴县澄江镇善亨村 750 亩再生稻示范基地在省农科院水稻所、省农技推广中心和省水稻产业技术体系技术支撑下实行标准化种植，集中展示多个优质稻、杂交稻品种并开展品种对比试验。近年来始兴再生稻已连续 3 年实现头季、再生季两季亩产突破「吨粮」。","广东省农业技术推广中心种植业技术与种业推广部部长罗学梅在总结中充分肯定再生稻项目取得的技术突破和示范成效，并就下一阶段强化技术指导、完善示范推广体系、推动再生稻扩大应用等工作作出部署。他指出，要进一步加强科研、推广、种业和种植主体协同联动，加快适宜品种、先进技术和标准模式落地，为稳定粮食生产提供有力支撑。\n\n随后，与会人员前往始兴县澄江镇善亨村750亩再生稻示范基地开展现场观摩。该基地在广东省农业科学院水稻研究所、广东省农业技术推广中心以及广东省水稻产业技术体系的技术支撑下实行标准化种植，集中展示多个优质稻、杂交稻品种，并开展品种对比试验。技术人员走进田间，结合不同品种长势，围绕品种筛选、栽培管理、促芽肥施用、病虫害防控和机械化收割等关键环节进行讲解，并面对面解答参会人员提出的生产问题。\n\n参训人员沿着田埂仔细察看苗情和穗型，认真听取田间讲解，踊跃交流技术要点，现场学习氛围浓厚。此次活动将室内授课与田间教学有机结合，进一步提升了基层农技人员和种植主体对再生稻技术的认识，增强了推广应用信心。与会人员表示，将结合本地生产实际，把学习成果转化为田间管理措施，积极提升再生稻种植水平。\n\n版权声明：凡本网注明“来源：中国科学报、科学网、科学新闻杂志”的所有作品，网站转载，请在正文上方注明来源和作者，且不得对内容作实质性改动；微信公众号、头条号等新媒体平台，转载请联系授权。邮箱：shouquan@stimes.cn。","科学网 2026-10-17","2026-10-17T00:00:00Z","报道",58,{"impact":209,"substance":210,"depth":211,"authority":19,"freshness":101,"relevant":20,"comment":212},16,13,11,"省级科研机构主办的再生稻技术培训与田间观摩，有示范基地和品种对比等实质内容，但属常规推广活动，影响力限于区域。",[214],{"name":204,"url":201},[25,44,216,217,218],"再生稻","农技推广","粮食生产",{"code":39,"slug":220,"name":44,"path":221,"parent_code":222},"rice","\u002Ftopic\u002Ffield-crops\u002Frice","A",[224],{"code":65,"slug":225,"name":226,"path":227,"parent_code":228},"extension-transfer","农技推广与成果转化","\u002Ftopic\u002Frural-services\u002Fextension-transfer","G",{"status":230,"locked":14,"version":34,"method":35,"evidence":231},"classified",{"candidates":232,"agricultural_evidence":41},[233,239,244,251],{"code":39,"score":234,"supported":41,"title":235,"abstract":236,"tags":238},27,[44,216],[44,237,216],"杂交稻",[216,44],{"code":65,"score":162,"supported":41,"title":240,"abstract":242,"tags":243},[241],"技术培训",[217,241],[217],{"code":245,"score":246,"supported":41,"title":247,"abstract":248,"tags":250},"A8",4,[],[249],"粮食产能",[218],{"code":222,"score":20,"supported":14,"title":252,"abstract":253,"tags":254},[],[],[218],[256,257],"广东农科院 再生稻 始兴","再生稻 技术培训 观摩会","广东农科院再生稻始兴-5432","2026-10-21T00:10:01.007510Z",{"id":261,"title":262,"url":263,"summary":264,"summary_zh":8,"content":265,"source_name":266,"source_url":8,"published_at":205,"category":206,"cover_url":8,"hotness":13,"is_selected":14,"score":267,"score_detail":268,"sources":271,"tags":273,"primary_topic":277,"secondary_topics":278,"classification":279,"search_phrases":295,"slug":298,"view_count":180,"doi":8,"paper":8,"created_at":299},5272,"广东再生稻示范片连续3年头季、再生季两季亩产突破\"吨粮\"","https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F10\u002F573077.shtml","2026年再生稻技术培训和现场观摩会在韶关始兴县举行,广东省农科院水稻研究所联合广东省农业技术推广中心在始兴县澄江镇善亨村建立750亩再生稻示范基地,标准化种植多个优质稻杂交稻品种;省农科院水稻研究所王昕钰博士、梁开明研究员作专题报告;始兴连续3年实现头季和再生季两季合计亩产突破\"吨粮\"。","[![Image 1: 科学网新闻频道](https:\u002F\u002Fnews.sciencenet.cn\u002Fimages\u002Fnews.jpg)](https:\u002F\u002Fnews.sciencenet.cn\u002F)\n\n[生命科学](https:\u002F\u002Fwww.sciencenet.cn\u002Flife\u002F) | [医学科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fmedicine\u002F) | 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[服务条款](http:\u002F\u002Fwww.sciencenet.cn\u002Ftiaokuang.aspx) | [联系方式](http:\u002F\u002Fwww.sciencenet.cn\u002Fcontact.aspx) | [RSS](http:\u002F\u002Fwww.sciencenet.cn\u002FRSS.aspx) | [举报](mailto:jubao@stimes.cn) | [中国科学报社](https:\u002F\u002Fstimes.sciencenet.cn\u002F)  \n[京ICP备07017567号-12](https:\u002F\u002Fbeian.miit.gov.cn\u002F)互联网新闻信息服务许可证10120230008 京公网安备 11010802032783  \nCopyright @ 2007-2026 中国科学报社 All Rights Reserved  \n 地址：北京市海淀区中关村南一条乙三号 邮箱：blog@stimes.cn","科学网(2026-10-17)",77,{"impact":17,"substance":269,"depth":162,"authority":19,"freshness":146,"relevant":20,"comment":270},20,"广东再生稻示范片连续三年两季亩产突破吨粮，属省级农业科技实质进展，数据具体、信源权威，值得进入每日精选。",[272],{"name":266,"url":263},[25,274,216,275,276],"粮食安全","水稻育种","吨粮田",{"code":39,"slug":220,"name":44,"path":221,"parent_code":222},[],{"status":230,"locked":14,"version":34,"method":35,"evidence":280},{"candidates":281,"agricultural_evidence":41},[282,287,291],{"code":39,"score":283,"supported":41,"title":284,"abstract":285,"tags":286},19,[216],[44,237,216],[216,275],{"code":65,"score":40,"supported":41,"title":288,"abstract":289,"tags":290},[],[241],[],{"code":245,"score":84,"supported":14,"title":292,"abstract":293,"tags":294},[],[],[276,274],[296,297],"广东 再生稻 吨粮","始兴 再生稻 亩产","广东再生稻吨粮-5272","2026-10-19T00:07:40.686079Z",{"id":301,"title":302,"url":303,"summary":304,"summary_zh":305,"content":8,"source_name":306,"source_url":303,"published_at":307,"category":143,"cover_url":8,"hotness":13,"is_selected":14,"score":308,"score_detail":309,"sources":312,"tags":314,"primary_topic":317,"secondary_topics":322,"classification":323,"search_phrases":347,"slug":350,"view_count":180,"doi":351,"paper":352,"created_at":374},4663,"Sensor Data Transmission in Smart Agriculture: Challenges, Potentials, and Limitations in the Fourth Industrial Revolution","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsignals7050098","Smart agriculture is a key application domain of the Fourth Industrial Revolution (4IR), where cyber–physical systems, the Internet of Things (IoT), and data-driven analytics converge to improve productivity, sustainability, and resource efficiency. In this context, large volumes of sensor data collected in the field form the basis for automated monitoring, decision support, and adaptive control across agricultural processes. However, the value of such data depends not only on sensing technologies and connectivity, but also on how data are generated, transferred, processed, and interpreted throughout their lifecycle. This paper is organized in two parts. The first part reports a narrative review of the literature, based on a documented search protocol, and provides an overview of sensor data and sensor data transmission networks in smart agriculture. It examines the main challenges, potentials, and limitations associated with IoT-based field deployments in 4IR environments, and consolidates them into ten open problems. These problems are ordered from the device layer to the socio-economic layer and span physical robustness, device security, rural connectivity, aerial sensing, interoperability, labelled-data scarcity, explainability, federated access control, data ownership, and cost. The second part responds to these open problems with the conceptualization of a layered architecture and a set of design proposals, covering hierarchical edge security, offline-first synchronization, semantic interoperability, explainable decision support, and farmer-centric data governance, that are grounded in established techniques and standards but have not been implemented or empirically validated in this work; they are intended as a design blueprint and a starting point for future prototyping and evaluation rather than as measured results. The paper is accordingly positioned as a conceptual, perspective-oriented contribution: it states the procedure by which the open problems were derived from the reviewed works, it states what the proposed integration is claimed to add over existing smart-agriculture architectures, and it sets out an evaluation plan that fixes the metrics and the baselines against which each proposed component would have to be tested. Throughout both parts, particular attention is given to the role of data integrity and provenance as foundational elements for trustworthy agricultural data, enabling reliable analysis, auditability, and long-term reuse. By synthesizing current approaches, open issues, and conceptual solution patterns, this paper aims to support the design of resilient, transparent, and future-ready smart agriculture systems aligned with the principles of the 4IR.","智慧农业是第四次工业革命（4IR）的关键应用领域，信息物理系统、物联网（IoT）和数据驱动分析在此汇聚，以提升生产力、可持续性和资源效率。在此背景下，田间采集的大量传感器数据构成了农业过程自动化监测、决策支持和自适应控制的基础。然而，此类数据的价值不仅取决于传感技术和连接能力，还取决于数据在其生命周期中如何生成、传输、处理和解释。本文分为两部分。第一部分基于有据可查的检索方案，对文献进行叙述性综述，概述智慧农业中的传感器数据及传感器数据传输网络。它考察了4IR环境下基于物联网的田间部署所面临的主要挑战、潜力和局限，并将其归纳为十个开放性问题。这些问题从设备层到社会经济层依次排列，涵盖物理鲁棒性、设备安全、农村连接、空中传感、互操作性、标注数据稀缺、可解释性、联邦访问控制、数据所有权和成本。第二部分针对这些开放性问题，提出了分层架构的概念化和一组设计建议，涵盖分层边缘安全、离线优先同步、语义互操作性、可解释决策支持以及以农户为中心的数据治理。这些建议以已有技术和标准为基础，但尚未在本文中实现或经过实证验证；它们旨在作为设计蓝图和未来原型开发与评估的起点，而非实测结果。因此，本文定位为概念性、视角导向的贡献：它说明了开放性问题如何从所综述的工作中推导出来的过程，阐明了所提出的集成方案相对于现有智慧农业架构声称增加的贡献，并提出了一个评估计划，确定了每个所提组件必须接受测试的指标和基线。在两部分中，特别关注数据完整性和来源作为可信农业数据基础要素的作用，从而实现可靠分析、可审计性和长期复用。","Signals","2026-10-10T00:00:00Z",71,{"impact":162,"substance":18,"depth":310,"authority":210,"freshness":146,"relevant":20,"comment":311},17,"系统梳理智慧农业传感器数据传输的十大开放问题并提出分层架构蓝图，属概念性综述，有参考价值但未经实证验证。",[313],{"name":306,"url":303},[74,152,315,29,316],"农业物联网","传感器网络",{"code":77,"slug":318,"name":319,"path":320,"parent_code":321},"agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",[],{"status":230,"locked":14,"version":34,"method":35,"evidence":324},{"candidates":325,"agricultural_evidence":41},[326,331,337,342],{"code":71,"score":162,"supported":41,"title":327,"abstract":329,"tags":330},[328],"smart agriculture",[74,328],[74],{"code":77,"score":13,"supported":41,"title":332,"abstract":333,"tags":336},[],[80,334,335],"internet of things","IoT",[315],{"code":83,"score":246,"supported":41,"title":338,"abstract":339,"tags":341},[],[340],"decision support",[152],{"code":89,"score":246,"supported":41,"title":343,"abstract":344,"tags":346},[],[345],"agricultural data",[29],[348,349],"智慧农业 传感器数据传输","农业物联网 数据完整性","智慧农业传感器数据传输-4663","10.3390\u002Fsignals7050098",{"doi":351,"openalex_id":353,"authors":354,"venue":306,"cited_by_count":180,"oa_url":303,"card":368,"direction":372,"ingested_from":196},"W7221365687",[355,357,360,363,365],{"name":356,"orcid":8},"Alvertos Ioannis Mourikis",{"name":358,"orcid":359},"Iosif Polenakis","https:\u002F\u002Forcid.org\u002F0000-0002-6427-5519",{"name":361,"orcid":362},"Christos Sarantidis","https:\u002F\u002Forcid.org\u002F0009-0003-9486-8483",{"name":364,"orcid":8},"Romanos Kalamatianos",{"name":366,"orcid":367},"Ioannis Karydis","https:\u002F\u002Forcid.org\u002F0000-0002-9470-2729",{"tldr":369,"method":370,"finding":371,"direction":372,"opportunity":373},"综述智慧农业传感器数据传输挑战，归纳十大开放问题并提出分层架构设计蓝图。","文献综述与概念架构设计，基于搜索协议梳理IoT部署问题。","从设备到社会经济层归纳十大开放问题，提出边缘安全、语义互操作等设计提案。","智慧农业 \u002F 农业物联网","所提分层架构尚未实现与实证，可开展原型验证并量化数据完整性、溯源与离线同步效果。","2026-10-11T23:30:08.094185Z",{"id":376,"title":377,"url":378,"summary":379,"summary_zh":380,"content":8,"source_name":381,"source_url":378,"published_at":382,"category":143,"cover_url":8,"hotness":13,"is_selected":14,"score":383,"score_detail":384,"sources":386,"tags":388,"primary_topic":393,"secondary_topics":397,"classification":398,"search_phrases":412,"slug":415,"view_count":40,"doi":416,"paper":417,"created_at":439},4205,"A socio-technical mechanism of the agricultural digital divide: Ecuador within a heterogeneous Latin American context","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1957539","Digital agriculture can improve farm management, resource-use efficiency, and decision-making; however, access to technology alone does not guarantee equivalent economic benefits. This perspective article conceptualizes the agricultural digital divide as a socio-technical and economic inequality that can arise along a sequence linking structural conditions, resource accessibility, capability formation, technological appropriation, productive integration, economic value realization, and value capture and benefit distribution. This definition extends the analysis beyond connectivity and adoption by considering whether agricultural actors can integrate technologies into viable productive activities and retain a significant share of the value generated. Institutions, extension services, cooperatives, financing mechanisms, technology providers, business models, and data governance can shape the transitions between these stages. Ecuador is examined as a focal analytical case within a heterogeneous Latin America, without assuming regional representativeness. The framework redirects the evaluation of digitalization away from the number of technologies deployed and toward their productive appropriation, economic viability, and the distribution of their benefits, thereby reinforcing the relationship between digital transformation and agricultural economics.","数字农业可以改善农场管理、资源利用效率和决策，然而仅获得技术并不保证能带来同等的经济效益。这篇观点性文章将农业数字鸿沟概念化为一种社会—技术与经济不平等，它可能沿着一条由结构性条件、资源可及性、能力形成、技术 appropriation、生产性整合、经济价值实现，以及价值获取与收益分配相连接的序列而产生。该定义将分析从连通性和采用扩展到农业主体能否将技术整合进可行的生产活动，并保留所创造价值的显著份额。制度、推广服务、合作社、融资机制、技术提供者、商业模式和数据治理可以塑造这些阶段之间的过渡。厄瓜多尔被作为一个异质性拉丁美洲中的焦点分析案例加以考察，但不假定其具有区域代表性。该框架将数字化的评估重点从已部署技术的数量转向其生产性 appropriation、经济可行性及其收益分配，从而强化数字化转型与农业经济学之间的关系。","Frontiers in Sustainable Food Systems","2026-10-05T00:00:00Z",78,{"impact":209,"substance":147,"depth":18,"authority":210,"freshness":13,"relevant":20,"comment":385},"从社会技术视角重构农业数字鸿沟分析框架，超越接入率指标，对数字乡村与智慧农业政策评估有借鉴价值。",[387],{"name":381,"url":378},[389,390,29,391,392],"数字农业","农业经济","数字鸿沟","拉美农业",{"code":89,"slug":394,"name":395,"path":396,"parent_code":321},"digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village",[],{"status":230,"locked":14,"version":34,"method":35,"evidence":399},{"candidates":400,"agricultural_evidence":41},[401,406],{"code":89,"score":209,"supported":41,"title":402,"abstract":404,"tags":405},[403],"digital divide",[391,403],[391,29],{"code":71,"score":407,"supported":41,"title":408,"abstract":409,"tags":411},7,[],[389,410],"digital agriculture",[389],[413,414],"厄瓜多尔 农业数字鸿沟","拉美 数字农业 经济","厄瓜多尔农业数字鸿沟-4205","10.3389\u002Ffsufs.2026.1957539",{"doi":416,"openalex_id":418,"authors":419,"venue":381,"cited_by_count":180,"oa_url":378,"card":434,"direction":193,"ingested_from":196},"W7219729057",[420,423,426,428,431],{"name":421,"orcid":422},"Raquel Gomez","https:\u002F\u002Forcid.org\u002F0000-0002-0436-7518",{"name":424,"orcid":425},"Karina Real-Avilés","https:\u002F\u002Forcid.org\u002F0000-0002-9630-3422",{"name":427,"orcid":8},"Ana Arellano-Arcentales",{"name":429,"orcid":430},"Paola Grijalva-Arriaga","https:\u002F\u002Forcid.org\u002F0000-0003-2616-417X",{"name":432,"orcid":433},"Mariana Marisol Briones Zambrano","https:\u002F\u002Forcid.org\u002F0000-0002-9481-2426",{"tldr":435,"method":436,"finding":437,"direction":193,"opportunity":438},"将农业数字鸿沟概念化为从结构条件到价值分配的社会技术经济不平等序列，并以厄瓜多尔为例。","概念性框架分析，结合厄瓜多尔案例与拉美异质性背景。","数字农业评估应从技术部署数量转向生产性挪用、经济可行性与收益分配。","可实证检验各阶段转换机制，并比较不同拉美国家数字农业价值捕获差异。","2026-10-05T23:30:07.312755Z"]