[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3655":3,"related-3655":69},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":30,"secondary_topics":36,"classification":37,"search_phrases":54,"slug":57,"view_count":19,"doi":8,"paper":58,"created_at":68},3655,"数字乡村建设对城乡共同富裕的影响效应与作用机制","http:\u002F\u002Fwww.kjhcy.org\u002Fkjycy\u002Farticle\u002Fabstract\u002F20261733","黄大湖、艾芷萱发表于《科技和产业》2026年第17期。研究表明数字乡村建设通过农业技术进步和农村劳动力转移两条路径显著推动城乡共同富裕。异质性分析揭示，数字乡村建设的边际效应在中西部地区更为强劲，对中低共同富裕水平地区的促进最为突出，呈现先增后降的倒U型特征。进一步证实数字乡村建设不仅对本地区城乡共同富裕产生正向影响，还通过空间溢出效应惠及邻近地区。研究建议制定差异化、动态化的发展策略，加快农村数字化进程，强化区域协调，优化空间布局。",null,"科技和产业 2026年第17期 (黄大湖 艾芷萱)","2026-09-15T00:00:00Z","论文",10,false,74,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,13,3,1,"核心期刊论文，方法规范、结论有新意，但时效性偏弱，适合主题聚合而非当日精选。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字乡村","空间溢出效应","农村劳动力转移","农业技术进步","城乡共同富裕",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village","I",[],{"status":38,"locked":13,"version":39,"method":40,"evidence":41},"classified","2026-10-22.2","rules",{"candidates":42,"agricultural_evidence":45},[43,49],{"code":31,"score":44,"supported":45,"title":46,"abstract":47,"tags":48},12,true,[25],[25],[25],{"code":50,"score":20,"supported":13,"title":51,"abstract":52,"tags":53},"I4",[],[],[26],[55,56],"数字乡村 城乡共同富裕 空间溢出","科技和产业 数字乡村 共同富裕","数字乡村城乡共同富裕空间溢出-3655",{"doi":8,"openalex_id":8,"authors":59,"venue":8,"cited_by_count":60,"oa_url":8,"card":61,"direction":65,"ingested_from":67},[],0,{"tldr":62,"method":63,"finding":64,"direction":65,"opportunity":66},"研究数字乡村建设如何通过农业技术进步与劳动力转移推动城乡共同富裕。","基于面板数据的中介效应、异质性分析与空间溢出模型。","数字乡村建设显著促进城乡共同富裕，中西部效应更强，呈倒U型并具空间溢出。","数字乡村与农业信息化","可探究数字乡村对共同富裕倒U型拐点的阈值条件及空间溢出的衰减边界。","agent","2026-09-28T00:03:02.701640Z",{"total":70,"page":20,"page_size":70,"items":71},6,[72,112,163,221,264,331],{"id":73,"title":74,"url":75,"summary":76,"summary_zh":8,"content":8,"source_name":77,"source_url":8,"published_at":78,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":79,"score_detail":80,"sources":83,"tags":85,"primary_topic":89,"secondary_topics":90,"classification":91,"search_phrases":99,"slug":102,"view_count":103,"doi":8,"paper":104,"created_at":111},4195,"Digital Rural Construction and Agricultural Technological Choice Under Land Constraints: Evidence from China","https:\u002F\u002Fwww.mdpi.com\u002F2073-445X\u002F15\u002F8\u002F1400\u002Fpdf","Zewen Yuan、Qi Zhang、Liying Song、Xinya Ma）。发表于Land 2026, 15(8)。基于2011-2024年中国28省面板数据，首先基于归一化因子增广CES生产函数衡量资本-土地和劳动-土地偏向的技术进步，然后构建多维数字乡村建设指数。经验结果表明：数字乡村建设显著促进资本-土地和劳动-土地偏向的技术进步，对资本-土地维度效应更强，表明数字乡村建设主要通过资本体现和数字赋能技术促进农业技术选择。机制分析显示资本-土地效应主要由价格效应驱动，劳动-土地效应主要由规模效应驱动。异质性分析显示东部地区正向效应更明显。","Land 2026, 15(8): 1400","2026-09-01T00:00:00Z",75,{"impact":16,"substance":17,"depth":16,"authority":81,"freshness":19,"relevant":20,"comment":82},14,"基于28省2011-2024年面板数据的实证研究，方法新颖、结论可靠，但发表已逾一月，时效性偏弱，适合作为主题页深度内容而非当日精选。",[84],{"name":77,"url":75},[25,86,87,28,88],"农业技术选择","土地约束","CES生产函数",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":92},{"candidates":93,"agricultural_evidence":45},[94],{"code":31,"score":95,"supported":45,"title":96,"abstract":97,"tags":98},4,[],[25],[25],[100,101],"数字乡村建设 农业技术选择","土地约束 农业技术进步 中国","数字乡村建设农业技术选择-4195",2,{"doi":8,"openalex_id":8,"authors":105,"venue":8,"cited_by_count":60,"oa_url":8,"card":106,"direction":65,"ingested_from":67},[],{"tldr":107,"method":108,"finding":109,"direction":65,"opportunity":110},"基于中国28省面板数据，实证检验数字乡村建设如何影响土地约束下的农业技术选择偏向。","2011-2024年28省面板数据，归一化因子增广CES生产函数与多维数字乡村指","数字乡村建设显著促进资本-土地和劳动-土地偏向技术进步，资本-土地效应更强且由价格效应驱动。","可深入探究数字乡村不同维度对技术偏向的差异化作用，并检验价格与规模效应在微观农户层面的传导机制。","2026-10-05T00:04:55.954513Z",{"id":113,"title":114,"url":115,"summary":116,"summary_zh":8,"content":8,"source_name":117,"source_url":8,"published_at":118,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":119,"score_detail":120,"sources":122,"tags":124,"primary_topic":128,"secondary_topics":129,"classification":130,"search_phrases":151,"slug":154,"view_count":20,"doi":8,"paper":155,"created_at":162},2905,"数字乡村发展对农业全要素生产率增长的影响研究:2011-2022省域EBM-SE面板,登农业现代化研究","https:\u002F\u002Fwww.sciengine.com\u002Fparse\u002Fpdf\u002F1000-0275\u002FF1BBD6B75EBA45B18C8F9F40A7121E11.pdf","李谷成、李欠男、叶锋、黄大湖基于2011-2022年全国31个省份面板数据,利用熵值法测算数字乡村发展水平,运用EBM-SE模型核算农业TFP增长,实证分析数字乡村发展对农业TFP增长的影响。研究表明:数字乡村发展势头强劲,地区之间存在明显的数字鸿沟;农业TFP年均增长4.45%,依靠农业技术进步和技术效率的双轮驱动;数字乡村发展显著促进了农业TFP增长;不仅可通过带动农业技术进步和技术效率促进TFP增长,还可通过促进规模经营和产业集聚间接提升TFP。","农业现代化研究 2026, 47(2):291-301","2026-09-16T00:00:00Z",78,{"impact":16,"substance":17,"depth":16,"authority":81,"freshness":70,"relevant":20,"comment":121},"基于31省11年面板数据的实证研究，方法规范、结论明确，对数字乡村与农业TFP关系有实质增量，但属学术论文、时效性一般，适合主题聚合而非头条精选。",[123],{"name":117,"url":115},[25,125,126,127,28],"产业集聚","规模经营","农业全要素生产率",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":131},{"candidates":132,"agricultural_evidence":45},[133,139,146],{"code":31,"score":134,"supported":45,"title":135,"abstract":136,"tags":138},15,[25],[25,137],"数字鸿沟",[25],{"code":140,"score":141,"supported":45,"title":142,"abstract":144,"tags":145},"J2",8,[143],"农业现代化",[],[],{"code":147,"score":20,"supported":13,"title":148,"abstract":149,"tags":150},"G4",[],[],[125],[152,153],"数字乡村 农业全要素生产率","EBM-SE 农业TFP","数字乡村农业全要素生产率-2905",{"doi":8,"openalex_id":8,"authors":156,"venue":8,"cited_by_count":60,"oa_url":8,"card":157,"direction":65,"ingested_from":67},[],{"tldr":158,"method":159,"finding":160,"direction":65,"opportunity":161},"基于2011-2022年省域面板数据，实证检验数字乡村发展对农业全要素生产率增长的影响。","熵值法测数字乡村水平，EBM-SE模型核算农业TFP，面板回归分析。","数字乡村显著促进农业TFP增长，通过技术进步、技术效率及规模经营和产业集聚间接提升。","可探究数字鸿沟的成因及其对TFP增长的区域异质性影响，或聚焦数字乡村不同维度的差异化作用。","2026-09-19T00:06:09.132145Z",{"id":164,"title":165,"url":166,"summary":167,"summary_zh":8,"content":8,"source_name":168,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":169,"score_detail":170,"sources":173,"tags":175,"primary_topic":179,"secondary_topics":180,"classification":186,"search_phrases":208,"slug":211,"view_count":20,"doi":212,"paper":213,"created_at":220},2732,"数字乡村赋能乡村产业融合发展——基于2011—2023年省级面板数据的作用机制与政策启示","http:\u002F\u002Fzgnjhxb.niam.com.cn\u002FCN\u002F10.13733\u002Fj.jcam.issn.2095-5553.2026.09.047","基于2011—2023年省级面板数据,综合运用固定效应模型、中介效应模型、空间杜宾模型及门槛回归模型,实证检验数字乡村对乡村产业融合的影响、作用机制与空间溢出效应。结果表明:数字乡村对乡村产业融合呈现显著的正向直接促进作用,并通过提升财政支农、农户教育水平以及城镇化率路径发挥间接推动效应;空间溢出效应显著;门槛效应分析显示数字乡村的影响呈梯度增强的非线性动态特征。","中国农机化学报 2026年第9期",73,{"impact":16,"substance":171,"depth":16,"authority":81,"freshness":103,"relevant":20,"comment":172},21,"基于2011—2023年省级面板数据的实证研究，方法体系完整、结论有政策参考价值，但属学术论文且时效性弱，适合主题聚合而非每日精选。",[174],{"name":168,"url":166},[25,176,26,177,178],"财政支农","乡村产业融合","农户教育",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[181],{"code":147,"slug":182,"name":183,"path":184,"parent_code":185},"rural-industry","乡村产业与县域经济","\u002Ftopic\u002Frural-services\u002Frural-industry","G",{"status":38,"locked":13,"version":39,"method":40,"evidence":187},{"candidates":188,"agricultural_evidence":45},[189,193,199,204],{"code":31,"score":44,"supported":45,"title":190,"abstract":191,"tags":192},[25],[25],[25],{"code":147,"score":194,"supported":45,"title":195,"abstract":197,"tags":198},11,[196],"乡村产业",[196],[],{"code":200,"score":95,"supported":45,"title":201,"abstract":202,"tags":203},"G3",[],[176],[176],{"code":50,"score":20,"supported":13,"title":205,"abstract":206,"tags":207},[],[],[26],[209,210],"乡村产业融合 空间溢出效应 农户教育 数字乡村","乡村产业融合 空间溢出效应","乡村产业融合空间溢出效应农户教育数字乡村-2732","10.13733\u002Fj.jcam.issn.2095-5553.2026.09.047",{"doi":212,"openalex_id":8,"authors":214,"venue":8,"cited_by_count":60,"oa_url":8,"card":215,"direction":65,"ingested_from":67},[],{"tldr":216,"method":217,"finding":218,"direction":65,"opportunity":219},"基于2011—2023年省级面板数据，实证检验数字乡村对乡村产业融合的促进作用与机制。","固定效应、中介效应、空间杜宾及门槛回归模型，省级面板数据。","数字乡村显著促进乡村产业融合，通过财政支农、农户教育、城镇化间接推动，具空间溢出与非线性门槛特征。","可深入探究数字乡村影响产业融合的微观农户路径及不同区域门槛异质性，识别政策精准发力点。","2026-09-17T00:04:40.483059Z",{"id":222,"title":223,"url":224,"summary":225,"summary_zh":8,"content":8,"source_name":226,"source_url":8,"published_at":227,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":79,"score_detail":228,"sources":232,"tags":234,"primary_topic":238,"secondary_topics":239,"classification":240,"search_phrases":252,"slug":255,"view_count":20,"doi":8,"paper":256,"created_at":263},2402,"数字乡村建设对农民收入水平的影响研究——基于2015—2023年省级面板数据","https:\u002F\u002Fxb.ynau.edu.cn\u002Fjwk_sk\u002Farticle\u002Flatest_all","云南农业大学学报（社会科学）2026, 20(0):1-7。张庆红、贺纯、刘振峰基于2015-2023年省级面板数据，构建评价指标体系测度和分析各省份数字乡村建设水平，借助固定效应、中介效应与门槛效应等模型实证检验。结果表明：数字乡村建设不仅直接促进农民增收，还通过劳动力转移产生积极作用；在东部、中部、东北部地区表现突出，在高经济水平与人力资本高潜力地区更为明显。","云南农业大学学报 | 2026-09-08","2026-09-08T00:00:00Z",{"impact":16,"substance":171,"depth":229,"authority":81,"freshness":230,"relevant":20,"comment":231},17,5,"基于2015—2023年省级面板数据的实证研究，方法规范、结论明确，对数字乡村建设与农民增收的政策制定有参考价值，但属学术论文且时效性一般，适合进入主题聚合而非每日精选头条。",[233],{"name":226,"url":224},[25,235,236,237,27],"农民增收","区域差异","省级面板数据",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":241},{"candidates":242,"agricultural_evidence":45},[243,247],{"code":31,"score":44,"supported":45,"title":244,"abstract":245,"tags":246},[25],[25],[25],{"code":248,"score":95,"supported":45,"title":249,"abstract":250,"tags":251},"G6",[],[235],[235],[253,254],"农村劳动力转移 省级面板数据 农民增收 区域差异","农村劳动力转移 省级面板数据","农村劳动力转移省级面板数据农民增收区域差异-2402",{"doi":8,"openalex_id":8,"authors":257,"venue":8,"cited_by_count":60,"oa_url":8,"card":258,"direction":65,"ingested_from":67},[],{"tldr":259,"method":260,"finding":261,"direction":65,"opportunity":262},"基于2015—2023年省级面板数据，实证检验数字乡村建设对农民收入的影响及机制。","构建数字乡村评价指标体系，用固定效应、中介效应与门槛效应模型分析省级面板数据。","数字乡村建设直接促进农民增收，并通过劳动力转移间接起作用，区域与禀赋异质性明显。","可深入微观农户数据，探究数字乡村增收效应的空间溢出与数字鸿沟调节机制。","2026-09-14T00:06:33.480192Z",{"id":265,"title":266,"url":267,"summary":268,"summary_zh":269,"content":8,"source_name":270,"source_url":267,"published_at":271,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":272,"score_detail":273,"sources":276,"tags":278,"primary_topic":283,"secondary_topics":284,"classification":285,"search_phrases":308,"slug":311,"view_count":60,"doi":312,"paper":313,"created_at":330},5581,"How Does Digital Literacy Promote Inclusive Rural Growth? Micro-Level Evidence from Income Inequality Among Farm Households","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010689","Against the backdrop of the coordinated advancement of digital village construction and the common prosperity strategy, the widespread improvement in rural households’ digital literacy is emerging as a key force in reshaping rural income distribution and enabling sustainable rural development. Whether digital dividends can equitably benefit farm households with heterogeneous endowments has a direct bearing on the inclusive growth outcomes of digital village construction and the sustainable advancement of the common prosperity goal. Using three waves of panel data from the China Family Panel Studies (CFPS) covering 2018 to 2022, this paper empirically examines the impact of digital literacy on income inequality among rural households. The findings indicate that improvements in digital literacy significantly reduce rural household income inequality, and this conclusion remains robust across a series of robustness checks. Mechanism analysis reveals that digital literacy mainly curbs the widening of rural household income gaps through two core channels: expanding social capital and alleviating credit constraints. Heterogeneity analysis shows that the inequality-reducing effect of digital literacy is more pronounced among households that depend on non-agricultural income, have lower levels of human capital, or fall into relatively lower income brackets. Further analysis demonstrates that digital literacy significantly reduces inequalities in wage income, business income, and property income across rural households, whereas its mitigating effect on transfer income inequality is not statistically significant. Meanwhile, digital literacy significantly raises the probability of upward income mobility among rural households, thereby alleviating income inequality from a dynamic perspective. On the basis of these findings, this paper proposes policy implications in several areas: building a hierarchical and categorized rural digital literacy cultivation system, fostering a virtuous cycle of digital empowerment, equal opportunity, and income convergence, and optimizing income distribution structures and dynamic mobility mechanisms, with the aim of accelerating progress toward common prosperity.","在数字乡村建设与共同富裕战略协同推进的背景下，农户数字素养的普遍提升正成为重塑乡村收入分配格局、实现乡村可持续发展的重要力量。数字红利能否公平惠及禀赋异质性农户，直接关系到数字乡村建设的包容性增长成效与共同富裕目标的可持续推进。本文利用中国家庭追踪调查（CFPS）2018—2022年三期面板数据，实证检验数字素养对农户收入不平等的影响。研究发现，数字素养的提升显著降低了农户收入不平等，这一结论在一系列稳健性检验后依然成立。机制分析表明，数字素养主要通过拓展社会资本与缓解信贷约束两条核心渠道抑制农户收入差距的扩大。异质性分析显示，数字素养的减不平等效应在依赖非农收入、人力资本水平较低或处于相对较低收入区间的农户中更为明显。进一步分析发现，数字素养显著缩小了农户工资性收入、经营性收入和财产性收入的不平等，而对转移性收入不平等的缓解作用在统计上不显著。同时，数字素养显著提高了农户收入向上流动的概率，从而从动态视角缓解了收入不平等。基于上述发现，本文从构建分层分类的农户数字素养培育体系、形成数字赋能—机会均等—收入收敛的良性循环、优化收入分配结构与动态流动机制等方面提出政策启示，以期为加快共同富裕进程提供参考。","Sustainability","2026-10-21T00:00:00Z",80,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":274,"relevant":20,"comment":275},9,"基于CFPS三期面板数据的微观实证，方法规范、结论有新意，对数字乡村与共同富裕政策有参考价值，值得进入每日精选。",[277],{"name":270,"url":267},[25,279,280,281,282],"数字素养","共同富裕","农民收入","收入不平等",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":286},{"candidates":287,"agricultural_evidence":45},[288,293,299,304],{"code":31,"score":141,"supported":45,"title":289,"abstract":290,"tags":292},[],[25,291],"digital village",[25,279],{"code":248,"score":70,"supported":45,"title":294,"abstract":295,"tags":298},[],[296,297],"农户收入","rural income",[],{"code":185,"score":19,"supported":45,"title":300,"abstract":301,"tags":303},[],[302],"rural development",[],{"code":147,"score":20,"supported":13,"title":305,"abstract":306,"tags":307},[],[],[280],[309,310],"CFPS 数字素养 农户收入","数字素养 农村收入差距","CFPS数字素养农户收入-5581","10.3390\u002Fsu182010689",{"doi":312,"openalex_id":314,"authors":315,"venue":270,"cited_by_count":60,"oa_url":267,"card":324,"direction":65,"ingested_from":329},"W7223105459",[316,319,322],{"name":317,"orcid":318},"Yong Feng","https:\u002F\u002Forcid.org\u002F0000-0002-8151-8594",{"name":320,"orcid":321},"Shuokai  kai Wang","https:\u002F\u002Forcid.org\u002F0009-0002-7439-1764",{"name":323,"orcid":8},"Fangping Cao",{"tldr":325,"method":326,"finding":327,"direction":65,"opportunity":328},"基于CFPS三期面板数据，实证检验数字素养对农户收入不平等的影响。","使用CFPS 2018-2022三期面板数据，进行机制与异质性分析。","数字素养通过扩展社会资本和缓解信贷约束显著缩小农户收入差距。","可延伸研究数字素养对不同收入来源不平等的差异化机制及动态收入流动路径。","openalex","2026-10-22T11:20:47.675827Z",{"id":332,"title":333,"url":334,"summary":335,"summary_zh":8,"content":336,"source_name":337,"source_url":8,"published_at":338,"category":339,"cover_url":8,"hotness":12,"is_selected":13,"score":340,"score_detail":341,"sources":344,"tags":346,"primary_topic":351,"secondary_topics":352,"classification":353,"search_phrases":370,"slug":373,"view_count":60,"doi":8,"paper":8,"created_at":374},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","报道",66,{"impact":16,"substance":342,"depth":81,"authority":44,"freshness":70,"relevant":20,"comment":343},16,"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。",[345],{"name":337,"url":334},[25,347,348,349,350],"智慧农业","农业人工智能","桂字号","东盟水果贸易",{"code":31,"slug":32,"name":33,"path":34,"parent_code":35},[],{"status":38,"locked":13,"version":39,"method":40,"evidence":354},{"candidates":355,"agricultural_evidence":45},[356,361,365],{"code":357,"score":95,"supported":45,"title":358,"abstract":359,"tags":360},"I1",[],[347],[347],{"code":31,"score":95,"supported":45,"title":362,"abstract":363,"tags":364},[],[25],[25],{"code":366,"score":20,"supported":13,"title":367,"abstract":368,"tags":369},"I2",[],[],[348],[371,372],"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"]