[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1161":3,"related-1161":88},{"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":23,"tags":28,"primary_topic":34,"secondary_topics":40,"classification":41,"search_phrases":83,"slug":86,"view_count":55,"doi":8,"paper":8,"created_at":87},1161,"眉山市公开征求加快建设农业新质生产力发展高地和农业农村现代化先行市重大任务支持政策意见","https:\u002F\u002Fwww.ms.gov.cn\u002F17_hudong\u002Fyjzj.jsp?urltype=opinioncollect.OpinionContentUrl&wbopinioncollectionid=3721&wbtreeid=7049","四川眉山市农业农村局起草《眉山市加快建设农业新质生产力发展高地和农业农村现代化先行市重大任务支持政策(征求意见稿)》,公示时间2026年8月31日至9月6日共7天。提出大力推进天府粮仓示范区建设,高质量推进天府粮仓·百县千片和吨粮田建设,加快建设100万亩粮食产业带、50个千亩高产片和24个百亩超高产攻关片;支持建设一图管田农作物长势观测体系。到2030年,粮食播面稳定在300万亩以上,粮食平均单产年均增加3公斤以上、粮食总产量达129万吨以上。严格落实种粮补贴和三大主粮完全成本保险保费补贴,实施粮油规模种植和大豆玉米单产提升项目。",null,"眉市山市委市政府门户网站 2026-08-31","2026-08-31T08:00:00Z","政策",25,false,81,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},22,20,18,12,9,1,"眉山市出台农业新质生产力支持政策，含具体建设目标与补贴措施，具有省级参考价值。",[24,25],{"name":9,"url":6},{"name":26,"url":27},"眉山市农业农村局","https:\u002F\u002Fwww.ms.gov.cn\u002F17_hudong\u002Fyjzj.jsp?urltype=opinioncollect.OpinionContentId&wbtreeid=7049",[29,30,31,32,33],"智慧农业","农业新质生产力","粮食安全","天府粮仓","政策支持",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[],{"status":42,"locked":13,"version":43,"method":44,"evidence":45},"classified","2026-10-22.2","rules",{"candidates":46,"agricultural_evidence":49},[47,54,60,67,73,78],{"code":48,"score":19,"supported":49,"title":50,"abstract":52,"tags":53},"J2",true,[51],"农业农村现代化",[51],[30],{"code":35,"score":55,"supported":49,"title":56,"abstract":57,"tags":59},4,[],[58],"单产提升",[31],{"code":61,"score":62,"supported":49,"title":63,"abstract":64,"tags":66},"A3",3,[],[65],"玉米",[],{"code":68,"score":62,"supported":49,"title":69,"abstract":70,"tags":72},"A4",[],[71],"大豆",[],{"code":74,"score":21,"supported":13,"title":75,"abstract":76,"tags":77},"I1",[],[],[29],{"code":79,"score":21,"supported":13,"title":80,"abstract":81,"tags":82},"J1",[],[],[33],[84,85],"农业新质生产力 天府粮仓 政策支持 智慧农业","农业新质生产力 天府粮仓","农业新质生产力天府粮仓政策支持智慧农业-1161","2026-09-01T00:03:36.375240Z",{"total":89,"page":21,"page_size":89,"items":90},6,[91,177,269,342,394,473],{"id":92,"title":93,"url":94,"summary":95,"summary_zh":96,"content":8,"source_name":97,"source_url":94,"published_at":98,"category":99,"cover_url":8,"hotness":100,"is_selected":13,"score":101,"score_detail":102,"sources":106,"tags":108,"primary_topic":112,"secondary_topics":113,"classification":126,"search_phrases":155,"slug":158,"view_count":21,"doi":159,"paper":160,"created_at":176},5308,"Geopolitics and food security: A comprehensive review of emerging risks and responses","https:\u002F\u002Fdoi.org\u002F10.51200\u002Fjsffs.v2i2.7666","This review paper examines the relationship between geopolitics and food security through a Systematic Literature Review guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework. A total of 15 peer-reviewed journal articles published between 2015 and 2026 were reviewed to identify emerging geopolitical risks and responses affecting global food systems. The study synthesizes literature on armed conflicts, trade restrictions, climate change, supply chain disruptions, energy market instability, and technological transformation in agriculture. The findings identified four major themes. First, geopolitical conflicts and protectionist trade policies significantly disrupt global food supply chains and increase food price volatility. Second, climate-related shock such as droughts, floods, and extreme weather events intensifies food insecurity, particularly in import-dependent and developing economies. Third, weaknesses in global logistics and energy dependence expose food systems to external shocks and market instability. Fourth, technological innovations, including smart farming, precision agriculture, and digital monitoring systems, play an increasingly important role in strengthening agricultural productivity, improving resource efficiency, and enhancing resilience against geopolitical and environmental uncertainties. The policy implications of this study include strengthening regional food reserves, diversifying import sources, investing in climate-resilient agriculture, promoting the adoption of smart farming technologies, and enhancing institutional cooperation between governments and international organizations. The relevance of smart farming is increasingly evident, as precision agriculture, Internet of Things (IoT)-based monitoring systems, and data-driven farming technologies play a critical role in improving productivity, reducing resource inefficiency, and enhancing food system resilience under geopolitical stress. The study contributes to a broader understanding of how geopolitical dynamics shape food security and provides recommendations for building sustainable, resilient, and technology-driven food systems in an increasingly uncertain global environment.","本文通过遵循系统评价与荟萃分析首选报告条目（Preferred Reporting Items for Systematic Reviews and Meta-Analyses）框架的系统文献综述，考察地缘政治与粮食安全之间的关系。共 review 了2015年至2026年间发表的15篇同行评审期刊论文，以识别影响全球粮食系统的新兴地缘政治风险与应对措施。本研究综合了关于武装冲突、贸易限制、气候变化、供应链中断、能源市场不稳定以及农业技术转型的文献。研究结果识别出四大主题。第一，地缘政治冲突和保护主义贸易政策显著扰乱全球粮食供应链并加剧粮食价格波动。第二，干旱、洪水和极端天气事件等气候相关冲击加剧粮食不安全，尤其是在依赖进口的经济体和发展中经济体中。第三，全球物流的薄弱环节和能源依赖使粮食系统暴露于外部冲击和市场不稳定之中。第四，包括智慧农业、精准农业和数字监测系统在内的技术创新，在增强农业生产力、提高资源效率以及增强应对地缘政治和环境不确定性的韧性方面发挥着日益重要的作用。本研究的政策启示包括加强区域粮食储备、多元化进口来源、投资气候韧性农业、促进智慧农业技术的采用，以及加强政府与国际组织之间的制度合作。智慧农业的相关性日益明显，因为精准农业、基于物联网（IoT）的监测系统和数据驱动农业技术在提高生产力、减少资源低效以及增强地缘政治压力下粮食系统韧性方面发挥着关键作用。本研究有助于更广泛地理解地缘政治动态如何塑造粮食安全，并为在日益不确定的全球环境中构建可持续、有韧性且技术驱动的粮食系统提供建议。","Journal of Smart Farming and Food Security","2026-10-19T00:00:00Z","论文",10,77,{"impact":18,"substance":17,"depth":103,"authority":104,"freshness":20,"relevant":21,"comment":105},17,13,"系统综述梳理地缘政治与粮食安全风险，并强调智慧农业的韧性价值，具政策与产业参考意义，但属综述性论文，非突破性成果。",[107],{"name":97,"url":94},[29,109,31,110,111],"农业供应链","精准农业","地缘政治",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[114,120],{"code":115,"slug":116,"name":117,"path":118,"parent_code":119},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"code":121,"slug":122,"name":123,"path":124,"parent_code":125},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",{"status":42,"locked":13,"version":43,"method":44,"evidence":127},{"candidates":128,"agricultural_evidence":49},[129,135,141,148],{"code":35,"score":130,"supported":49,"title":131,"abstract":133,"tags":134},15,[132],"food security",[31,132],[31],{"code":74,"score":136,"supported":49,"title":137,"abstract":138,"tags":140},11,[],[29,110,139],"precision agriculture",[29,110],{"code":115,"score":20,"supported":49,"title":142,"abstract":143,"tags":147},[],[144,145,146],"气候变化","干旱","climate change",[],{"code":121,"score":20,"supported":49,"title":149,"abstract":150,"tags":154},[],[151,152,153],"物联网","internet of things","IoT",[],[156,157],"地缘政治 粮食安全","智慧农业 粮食系统韧性","地缘政治粮食安全-5308","10.51200\u002Fjsffs.v2i2.7666",{"doi":159,"openalex_id":161,"authors":162,"venue":97,"cited_by_count":168,"oa_url":94,"card":169,"direction":173,"ingested_from":175},"W7222902031",[163,165],{"name":164,"orcid":8},"Parameswaran Mahendran",{"name":166,"orcid":167},"Wong Sing Yun","https:\u002F\u002Forcid.org\u002F0000-0001-5776-8852",0,{"tldr":170,"method":171,"finding":172,"direction":173,"opportunity":174},"系统综述地缘政治风险对粮食安全的影响及应对，强调智慧农业的韧性作用。","按PRISMA框架系统综述2015-2026年15篇同行评议文献。","冲突、贸易限制、气候与能源冲击威胁粮食安全，智慧农业可提升韧性与效率。","智慧农业 \u002F 农业物联网","可量化研究物联网与精准农业在地缘政治冲击下对粮食系统韧性的实证贡献。","openalex","2026-10-19T23:30:07.850994Z",{"id":178,"title":179,"url":180,"summary":181,"summary_zh":182,"content":8,"source_name":183,"source_url":180,"published_at":184,"category":99,"cover_url":8,"hotness":100,"is_selected":13,"score":185,"score_detail":186,"sources":189,"tags":191,"primary_topic":196,"secondary_topics":197,"classification":203,"search_phrases":248,"slug":251,"view_count":168,"doi":252,"paper":253,"created_at":268},4488,"Harnessing Indigenous Knowledge for Climate-Smart Agri-Food Systems: A Review of Adaptation Strategies, Food Security, Ecosystem Services, Governance, and Digital Innovation in Sub-Saharan Africa","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fconservation6040120","Sub-Saharan Africa (SSA) faces escalating climate challenges that threaten agricultural productivity, food security, ecosystem sustainability, and rural livelihoods. Indigenous knowledge (IK), developed through generations of interaction with local environments, offers context-specific and culturally embedded solutions for climate adaptation and resilient agri-food systems. This scoping review synthesizes evidence on the role of indigenous knowledge in advancing climate-smart agriculture (CSA) and resilient agri-food systems across SSA. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR), the review analyzed 17 studies published between 2000 and 2026. The findings reveal that indigenous knowledge contributes significantly to climate resilience through traditional weather forecasting, crop diversification, indigenous seed preservation, agroforestry, water harvesting, soil fertility management, and community-based natural resource governance. These practices enhance food security, livelihood resilience, biodiversity conservation, and ecosystem service provision while strengthening adaptive capacity among smallholder farmers. The review further highlights the importance of inclusive governance frameworks, knowledge co-production, and policy support for integrating indigenous knowledge into climate adaptation and agricultural development strategies. Emerging digital technologies and innovation platforms also present opportunities for documenting, preserving, and scaling indigenous agricultural knowledge. However, challenges related to weak policy recognition, inadequate documentation, knowledge erosion, and limited digital infrastructure continue to constrain its effective utilization. The study concludes that integrating indigenous knowledge with scientific innovation is essential for building inclusive, sustainable, and climate-resilient agri-food systems in SSA.","撒哈拉以南非洲（Sub-Saharan Africa, SSA）面临日益加剧的气候挑战，威胁着农业生产力、粮食安全、生态系统可持续性和农村生计。土著知识（Indigenous Knowledge, IK）经由世代与当地环境的互动而积累，为气候适应和韧性农业食品系统提供了契合具体情境且深植于文化的解决方案。本范围综述综合了关于土著知识在推动撒哈拉以南非洲气候智慧型农业（Climate-Smart Agriculture, CSA）和韧性农业食品系统中作用的证据。在系统综述和荟萃分析首选报告条目扩展版——范围综述（PRISMA-ScR）的指导下，本综述分析了2000年至2026年间发表的17项研究。研究结果表明，土著知识通过传统天气预报、作物多样化、土著种子保存、农林业、集水、土壤肥力管理和社区为基础的自然资源治理，对气候韧性作出了显著贡献。这些实践增强了粮食安全、生计韧性、生物多样性保护和生态系统服务供给，同时强化了小农户的适应能力。本综述进一步强调了包容性治理框架、知识共同生产以及政策支持对于将土著知识纳入气候适应和农业发展战略的重要性。新兴数字技术和创新平台也为记录、保存和推广土著农业知识提供了机遇。然而，政策认可薄弱、记录不足、知识流失和数字基础设施有限等挑战持续制约着其有效利用。研究结论认为，将土著知识与科学创新相结合，对于在撒哈拉以南非洲构建包容、可持续且具有气候韧性的农业食品系统至关重要。","Conservation","2026-10-08T00:00:00Z",76,{"impact":18,"substance":17,"depth":103,"authority":104,"freshness":187,"relevant":21,"comment":188},8,"系统综述揭示本土知识与数字创新融合路径，对气候适应型农业与农业信息化有参考价值，但属区域研究、非国内政策事件。",[190],{"name":183,"url":180},[29,192,31,193,194,195],"撒哈拉以南非洲","气候智慧型农业","本土知识","数字创新",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[198],{"code":199,"slug":200,"name":201,"path":202,"parent_code":119},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity",{"status":42,"locked":13,"version":43,"method":44,"evidence":204},{"candidates":205,"agricultural_evidence":49},[206,210,217,224,231,238,243],{"code":35,"score":130,"supported":49,"title":207,"abstract":208,"tags":209},[132],[31,132],[31],{"code":199,"score":20,"supported":49,"title":211,"abstract":212,"tags":216},[],[213,214,200,215],"生物多样性","生态系统服务","ecosystem service",[],{"code":115,"score":218,"supported":49,"title":219,"abstract":220,"tags":223},7,[],[221,222],"气候适应","climate resilience",[193],{"code":225,"score":89,"supported":49,"title":226,"abstract":227,"tags":230},"G2",[],[228,229],"小农户","smallholder",[],{"code":232,"score":89,"supported":49,"title":233,"abstract":234,"tags":237},"H2",[],[235,236],"土壤","soil",[],{"code":74,"score":55,"supported":49,"title":239,"abstract":240,"tags":242},[],[241],"smart agriculture",[29],{"code":244,"score":21,"supported":13,"title":245,"abstract":246,"tags":247},"J3",[],[],[192],[249,250],"撒哈拉以南非洲 本土知识 气候智慧型农业","撒哈拉以南非洲 气候智慧型农业 数字创新 智慧农业","撒哈拉以南非洲本土知识气候智慧型农业-4488","10.3390\u002Fconservation6040120",{"doi":252,"openalex_id":254,"authors":255,"venue":183,"cited_by_count":168,"oa_url":180,"card":262,"direction":173,"ingested_from":175},"W7220921430",[256,259],{"name":257,"orcid":258},"Adetomiwa Kolapo","https:\u002F\u002Forcid.org\u002F0000-0002-0808-1293",{"name":260,"orcid":261},"Wale Ayojimi","https:\u002F\u002Forcid.org\u002F0000-0003-0038-3462",{"tldr":263,"method":264,"finding":265,"direction":266,"opportunity":267},"综述撒哈拉以南非洲本土知识在气候智慧型农业与食物系统中的作用与挑战。","PRISMA-ScR范围综述，分析2000-2026年17项研究。","本土知识通过传统预报、作物多样化等提升气候韧性，但政策认可与数字化不足制约其应用。","数字乡村与农业信息化","可研究本土知识与数字技术协同的知识共生产机制，及适配小农的低成本数字化记录与传播工具。","2026-10-09T23:30:07.725864Z",{"id":270,"title":271,"url":272,"summary":273,"summary_zh":274,"content":8,"source_name":275,"source_url":272,"published_at":276,"category":99,"cover_url":8,"hotness":100,"is_selected":13,"score":277,"score_detail":278,"sources":281,"tags":283,"primary_topic":286,"secondary_topics":287,"classification":288,"search_phrases":324,"slug":327,"view_count":328,"doi":329,"paper":330,"created_at":341},3826,"From Dry Fields To Smart Resilience: Climate-Smart Agriculture, Digital Early-Warning Systems And Household Food Security In Chivi District, Zimbabwe","https:\u002F\u002Fdoi.org\u002F10.36923\u002Fsq.v3i1.435","This paper examines how climate-smart agriculture (CSA) and digital early-warning systems can jointly support household food-security resilience in Chivi District, a drought-prone area of south-eastern Zimbabwe dominated by rain-fed smallholder agriculture. Using a structured qualitative evidence synthesis with a district-centred case orientation, the study reviews 47 academic, policy and institutional sources published from 2021 to 14 September 2026. The study prioritises direct Chivi evidence, while using Zimbabwean, southern African, and wider African evidence comparatively where district-specific studies are limited. The synthesis identifies six interrelated themes concerning climate shocks, CSA adoption, small grains and water management, digital early warning, gender and institutional capacity, and integrated resilience. The findings indicate that CSA can strengthen food security when extension, inputs, finance, and markets support conservation agriculture, crop diversification, small grains, soil-fertility management, and water harvesting. However, digital early-warning information contributes to resilience only when it is timely, trusted, localised and translated into feasible action. Accordingly, the paper's principal contribution is an integrated smart-resilience framework centred on an information-to-action pathway: climate information can influence household food-security resilience only when farmers have viable adaptation options and the material, social and institutional capacity to act. The paper therefore treats digital information, agronomic adaptation, gender, household resources and local institutions as interdependent rather than separate interventions.","本文考察气候智慧型农业（climate-smart agriculture, CSA）与数字预警系统如何共同支撑津巴布韦东南部干旱易发区奇维（Chivi）地区以雨养小农农业为主的家庭粮食安全韧性。研究采用以地区为中心的案例导向结构化定性证据综合方法，梳理了2021年至2026年9月14日期间发表的47份学术、政策与机构文献。研究优先采用奇维地区的直接证据，在地区性专门研究有限时，则比较性地参考津巴布韦、南部非洲及更广泛非洲的证据。该综合识别出六个相互关联的主题，涉及气候冲击、气候智慧型农业采纳、小粒谷物与水资源管理、数字预警、性别与制度能力，以及综合韧性。研究结果表明，当推广服务、投入品、金融和市场支持保护性农业、作物多样化、小粒谷物、土壤肥力管理和集水时，气候智慧型农业能够增强粮食安全。然而，数字预警信息只有在及时、可信、本地化并转化为可行行动时，才能促进韧性。因此，本文的主要贡献在于提出了一个以信息到行动路径为核心的综合智慧韧性框架：气候信息只有在农民拥有可行的适应选项以及采取行动所需的物质、社会和制度能力时，才能影响家庭粮食安全韧性。据此，本文将数字信息、农艺适应、性别、家庭资源和地方制度视为相互依存的干预措施，而非彼此分离的干预措施。","Sustainability Quest","2026-09-29T00:00:00Z",56,{"impact":187,"substance":18,"depth":279,"authority":89,"freshness":187,"relevant":21,"comment":280},16,"以津巴布韦Chivi区为案例的定性证据综述，提出信息到行动的气候智慧农业韧性框架，对数字预警落地条件有参考价值，但属区域案例研究，公共影响有限。",[282],{"name":275,"url":272},[29,31,228,284,285],"气候智慧农业","数字预警",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[],{"status":42,"locked":13,"version":43,"method":44,"evidence":289},{"candidates":290,"agricultural_evidence":49},[291,295,299,304,308,312,318],{"code":35,"score":130,"supported":49,"title":292,"abstract":293,"tags":294},[132],[31,132],[31],{"code":74,"score":19,"supported":49,"title":296,"abstract":297,"tags":298},[241],[241],[29],{"code":115,"score":218,"supported":49,"title":300,"abstract":301,"tags":303},[],[145,302],"drought",[284],{"code":232,"score":89,"supported":49,"title":305,"abstract":306,"tags":307},[],[235,236],[],{"code":225,"score":55,"supported":49,"title":309,"abstract":310,"tags":311},[],[229],[228],{"code":313,"score":62,"supported":49,"title":314,"abstract":315,"tags":317},"H3",[],[316],"水资源",[],{"code":319,"score":62,"supported":49,"title":320,"abstract":321,"tags":323},"H8",[],[322],"conservation agriculture",[],[325,326],"气候智慧农业 数字预警 智慧农业 粮食安全","气候智慧农业 数字预警","气候智慧农业数字预警智慧农业粮食安全-3826",2,"10.36923\u002Fsq.v3i1.435",{"doi":329,"openalex_id":331,"authors":332,"venue":275,"cited_by_count":168,"oa_url":272,"card":336,"direction":173,"ingested_from":175},"W7214743351",[333],{"name":334,"orcid":335},"Victor Madziyauswa","https:\u002F\u002Forcid.org\u002F0000-0002-6122-6666",{"tldr":337,"method":338,"finding":339,"direction":266,"opportunity":340},"综述津巴布韦Chivi地区气候智慧农业与数字预警系统如何共同提升家庭粮食安全韧性。","结构化定性证据综合，分析47份2021-2026年学术、政策与机构文献。","数字预警须及时、可信、本地化并转化为可行行动，且需配套适应选项与能力才能提升韧性。","可实证检验“信息—行动”路径，研究数字预警与农户适应能力、性别和制度条件的交互机制。","2026-09-30T23:30:09.849166Z",{"id":343,"title":344,"url":345,"summary":346,"summary_zh":347,"content":8,"source_name":348,"source_url":345,"published_at":276,"category":99,"cover_url":8,"hotness":100,"is_selected":13,"score":349,"score_detail":350,"sources":353,"tags":355,"primary_topic":359,"secondary_topics":360,"classification":361,"search_phrases":376,"slug":379,"view_count":62,"doi":380,"paper":381,"created_at":393},3757,"Same-industry digital peer effects among Chinese listed grain-related enterprises: evidence from the grain industrial chain context","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1883572","Digital transformation of the grain industrial chain is a critical pillar for safeguarding national food security. Currently, the Chinese government attaches great importance to fostering new quality productive forces in agriculture and has provided robust policy support for the digital transformation of the grain industrial chain. However, the willingness of various stakeholders along the chain to undergo digital transformation remains highly uneven, leading to an increasingly prominent contradiction between the national goal of building a powerful grain industry and the practical challenges faced by micro-entities: reluctance to transform, fear of transformation, and lack of capacity to transform. This paper explores the mitigation path of this contradiction from the perspective of digital peer effects, aiming to provide new insights for advancing the digital transformation of the grain industrial chain. Taking grain-related enterprises listed on the Shanghai and Shenzhen Stock Exchanges of China from 2013 to 2023 as the research sample, this paper empirically tests the existence, heterogeneous characteristics and economic consequences of peer effects in the digital transformation of grain-related enterprises. The results indicate that grain-related enterprises experience significant peer effects with respect to digital transformation, and enterprises of different sizes exhibit heterogeneous responses. The higher the level of economic development and the more sophisticated the financial system in the region where an enterprise is located, the stronger the digital peer effects. These peer effects are significantly associated with reduced operating costs and increased operating revenue. Further analysis reveals that significant digital peer effects are observed among upstream enterprises, while those among midstream and downstream enterprises fail to pass the significance test. The digital transformation of downstream enterprises exerts a significant positive impact on upstream and midstream enterprises, but the reverse impact is not statistically significant. Based on these results, we propose strengthening cross-segment coordination, communication, and knowledge-sharing within the grain industrial chain to amplify peer-driven digital spillovers and raise overall chain-wide digitalization.","粮食产业链数字化转型是保障国家粮食安全的关键支柱。当前，中国政府高度重视培育农业新质生产力，为粮食产业链数字化转型提供了有力的政策支持。然而，产业链上各主体的数字化转型意愿呈现显著不均衡，导致国家建设粮食强国的目标与微观主体“不愿转、不敢转、不会转”的现实困境之间的矛盾日益突出。本文从数字化同群效应的视角探讨这一矛盾的缓解路径，旨在为推进粮食产业链数字化转型提供新的思路。本文以2013—2023年中国沪深A股涉粮上市公司为研究样本，实证检验涉粮企业数字化转型同群效应的存在性、异质性特征及经济后果。结果表明，涉粮企业数字化转型存在显著的同群效应，不同规模企业的响应具有异质性。企业所在地区经济发展水平越高、金融体系越完善，数字化同群效应越强。该同群效应与营业成本降低和营业收入增加显著相关。进一步分析发现，上游企业之间存在显著的数字化同群效应，而中游和下游企业的同群效应未能通过显著性检验。下游企业的数字化转型对上游和中游企业具有显著的正向影响，但反向影响在统计上不显著。基于上述结果，本文提出应加强粮食产业链上下游环节之间的协调、沟通与知识共享，以放大同群驱动的数字化溢出效应，提升全链条整体数字化水平。","Frontiers in Sustainable Food Systems",79,{"impact":18,"substance":351,"depth":103,"authority":104,"freshness":100,"relevant":21,"comment":352},21,"基于2013—2023年沪深粮食类上市公司数据的实证研究，揭示数字化转型同群效应的存在性、异质性与经济后果，对推进粮食产业链数字化具有参考价值。",[354],{"name":348,"url":345},[30,31,356,357,358],"数字化转型","粮食产业链","同群效应",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[],{"status":42,"locked":13,"version":43,"method":44,"evidence":362},{"candidates":363,"agricultural_evidence":49},[364,368,372],{"code":35,"score":218,"supported":49,"title":365,"abstract":366,"tags":367},[],[31,132],[31],{"code":74,"score":21,"supported":13,"title":369,"abstract":370,"tags":371},[],[],[356],{"code":48,"score":21,"supported":13,"title":373,"abstract":374,"tags":375},[],[],[30],[377,378],"粮食产业链 数字化转型 同群效应","粮食企业 数字化 沪深上市","粮食产业链数字化转型同群效应-3757","10.3389\u002Ffsufs.2026.1883572",{"doi":380,"openalex_id":382,"authors":383,"venue":348,"cited_by_count":168,"oa_url":345,"card":388,"direction":266,"ingested_from":175},"W7214624567",[384,386],{"name":385,"orcid":8},"Qingqing Huang",{"name":387,"orcid":8},"Wenjing Guo",{"tldr":389,"method":390,"finding":391,"direction":266,"opportunity":392},"基于2013-2023年中国粮食相关上市企业，实证检验数字化转型的同行业同群效应及其异质性与经济后果","沪深粮食相关上市公司面板数据，实证检验同群效应、异质性与经济后果。","粮食企业数字化转型存在显著同群效应，上游显著、中下游不显著，下游对上游和中游有正向溢出。","可延伸研究粮食产业链跨环节数字溢出的传导机制与政策干预路径，尤其关注中下游企业转型激励不足问题。","2026-09-29T23:30:06.703802Z",{"id":395,"title":396,"url":397,"summary":398,"summary_zh":399,"content":8,"source_name":400,"source_url":397,"published_at":401,"category":99,"cover_url":8,"hotness":100,"is_selected":13,"score":402,"score_detail":403,"sources":405,"tags":407,"primary_topic":411,"secondary_topics":412,"classification":424,"search_phrases":455,"slug":458,"view_count":62,"doi":459,"paper":460,"created_at":472},3613,"AI-Assisted Demand Forecasting and Production Scheduling for High-Volume Food Manufacturing in Saudi Arabia: A Food Security Framework for Vision 2030","https:\u002F\u002Fdoi.org\u002F10.64388\u002Firev10i3-1723457","High-volume food manufacturing in Saudi Arabia is increasingly exposed to volatile demand, short product life cycles, promotion-driven peaks, imported input dependencies, capacity bottlenecks, and the operational consequences of seasonal and religious events. These conditions make demand forecasting and production scheduling inseparable rather than sequential planning tasks. This review synthesizes research published between 2020 and 2025 on artificial intelligence-assisted demand forecasting, perishable-product planning, finite-capacity scheduling, digital-twin-enabled decision support, and food supply-chain resilience. The study develops an integrated framework in which demand sensing produces probabilistic forecasts that are translated into production decisions through capacity, shelf-life, sanitation, changeover, labour, inventory, and service constraints. Evidence indicates that machine-learning and deep-learning methods can improve forecast accuracy when promotions, weather, calendar events, regional variation, and censored demand are represented appropriately, while optimization models can convert these signals into feasible schedules that reduce changeovers, waste, shortages, and unstable resource use [1-8]. The review also identifies a persistent implementation gap: forecasting studies often stop at predictive accuracy, whereas scheduling studies frequently assume demand inputs are fixed and reliable. The proposed framework closes this gap by linking forecast uncertainty, rolling-horizon scheduling, execution feedback, and food-security outcomes. For Saudi manufacturers, the value of this integration lies not only in lower cost, but also in improving product availability, freshness, localized processing capacity, shock recovery, and evidence-based management under Vision 2030. The paper concludes with a staged implementation roadmap and research priorities for explainability, cross-site scheduling, event-aware forecasting, data governance, and resilient planning.","沙特阿拉伯的大规模食品制造日益面临需求波动、产品生命周期短、促销驱动的峰值、进口原料依赖、产能瓶颈以及季节性和宗教事件的运营影响。这些条件使得需求预测与生产调度成为不可分割的任务，而非顺序规划任务。本文综述了2020年至2025年间发表的相关研究，涵盖人工智能辅助需求预测、易腐产品规划、有限产能调度、数字孪生赋能的决策支持以及食品供应链韧性。研究构建了一个集成框架，其中需求感知产生概率预测，并通过产能、保质期、卫生、换产、劳动力、库存和服务约束转化为生产决策。证据表明，当促销、天气、日历事件、区域差异和截尾需求得到适当表征时，机器学习和深度学习方法能够提高预测精度，而优化模型可将这些信号转化为可行的调度方案，从而减少换产、浪费、缺货和不稳定的资源使用[1-8]。本综述还指出了一个持续存在的实施缺口：预测研究往往止步于预测精度，而调度研究则常常假设需求输入是固定且可靠的。所提出的框架通过将预测不确定性、滚动时域调度、执行反馈和食品安全结果联系起来，弥合了这一缺口。对于沙特制造商而言，这种集成的价值不仅在于降低成本，还在于改善产品可得性、新鲜度、本地化加工能力、冲击恢复能力以及“2030愿景”下的循证管理。本文最后提出了分阶段实施路线图以及可解释性、跨厂区调度、事件感知预测、数据治理和韧性规划方面的研究优先事项。","Iconic Research and Engineering Journals","2026-09-25T00:00:00Z",60,{"impact":19,"substance":18,"depth":279,"authority":89,"freshness":187,"relevant":21,"comment":404},"综述性论文，提出AI需求预测与生产排程整合框架，对智慧农业与粮食安全有参考价值，但属境外研究且期刊权威性一般。",[406],{"name":400,"url":397},[29,408,31,409,410],"农业人工智能","供应链韧性","生产调度",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[413,419],{"code":414,"slug":415,"name":416,"path":417,"parent_code":418},"E1","food-processing","加工与食品制造","\u002Ftopic\u002Ffood-supply\u002Ffood-processing","E",{"code":420,"slug":421,"name":422,"path":423,"parent_code":125},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",{"status":42,"locked":13,"version":43,"method":44,"evidence":425},{"candidates":426,"agricultural_evidence":49},[427,432,440,444,449],{"code":414,"score":136,"supported":49,"title":428,"abstract":430,"tags":431},[429],"food manufacturing",[429],[],{"code":420,"score":100,"supported":49,"title":433,"abstract":434,"tags":439},[],[435,436,437,438],"深度学习","机器学习","artificial intelligence","decision support",[408],{"code":35,"score":20,"supported":49,"title":441,"abstract":442,"tags":443},[132],[],[31],{"code":74,"score":55,"supported":49,"title":445,"abstract":446,"tags":448},[],[447],"数字孪生",[29],{"code":450,"score":62,"supported":49,"title":451,"abstract":452,"tags":454},"E4",[],[453],"食品安全",[],[456,457],"沙特阿拉伯 食品制造 需求预测","Vision 2030 粮食安全","沙特阿拉伯食品制造需求预测-3613","10.64388\u002Firev10i3-1723457",{"doi":459,"openalex_id":461,"authors":462,"venue":400,"cited_by_count":168,"oa_url":465,"card":466,"direction":173,"ingested_from":175},"W7214295236",[463],{"name":464,"orcid":8},"Atif Maqbool Syed","https:\u002F\u002Fwww.irejournals.com\u002Fformatedpaper\u002F1723457.pdf",{"tldr":467,"method":468,"finding":469,"direction":470,"opportunity":471},"综述2020-2025年AI需求预测与生产调度研究，提出沙特食品制造整合框架以保障Vision 20","文献综述2020-2025年AI预测、易腐品规划、有限产能调度与数字孪生研究。","预测研究止于精度、调度研究假设需求固定，整合框架可弥合实施鸿沟并提升粮食安全。","农业人工智能与决策模型","可研究事件感知预测与滚动调度耦合、跨工厂协同及可解释AI在食品供应链韧性中的应用。","2026-09-27T23:30:14.516185Z",{"id":474,"title":475,"url":476,"summary":477,"summary_zh":478,"content":8,"source_name":479,"source_url":476,"published_at":480,"category":99,"cover_url":8,"hotness":100,"is_selected":13,"score":481,"score_detail":482,"sources":484,"tags":486,"primary_topic":489,"secondary_topics":490,"classification":491,"search_phrases":527,"slug":530,"view_count":328,"doi":531,"paper":532,"created_at":550},3546,"When Winters Fail: How Warming Winters Fuel Pest Resurgence and Threaten Food Security","https:\u002F\u002Fdoi.org\u002F10.1002\u002Fpei3.70216","ABSTRACT The Mediterranean fruit fly ( Ceratitis capitata , Wiedemann; Diptera: Tephritidae), commonly known as the Medfly, re‐emerged in Mazandaran province, northern Iran—home to an estimated 25% of the nation's fruit crops and approximately 80% of its citrus production—following its apparent eradication in 1984, an outcome consistent with several years of pheromone‐trap surveillance without further captures. Its return in 2006 and subsequent spread is consistent with a broader phenomenon we term the erosion of climatic pest barriers: seasonal thermal conditions that have historically suppressed or excluded pest populations, and which appear to be weakening as winters warm. Warming may facilitate Medfly persistence by relaxing overwintering limitation, although reinvasion pressure, host availability, fruit movement, and surveillance and management practices likely also contribute. In Mazandaran, growers report substantial on‐tree citrus losses during heavy infestation years, and pest‐induced fruit wounding may provide infection courts for common postharvest fungal pathogens, compounding losses for smallholder producers. Current management relies heavily on organophosphate insecticides, particularly malathion, whose hazard classification and associated risks are well documented, even though realized exposure‐related risk in practice depends on application conditions. We situate the Mazandaran case within a broader global pattern of climate‐associated pest range expansion and weakened biological control, and argue that resilience‐based alternatives—including the Sterile Insect Technique, entomopathogenic agents, and threshold‐guided digital monitoring, embedded within climate‐smart agriculture frameworks—offer a technically proven, though not yet regionally established, pathway forward. We propose that climatic pest barriers merit recognition as an ecosystem service whose erosion under warming carries implications for temperate agricultural systems beyond this case.","地中海实蝇（Ceratitis capitata，Wiedemann；双翅目：实蝇科），俗称地中海果蝇，在1984年明显被根除后，重新出现在伊朗北部的马赞德兰省——该省估计占全国水果作物的25%和柑橘产量的约80%——这一根除结果与多年信息素诱捕监测未再捕获到该虫的情况一致。其2006年的重现及随后的扩散，与我们所称的“气候性有害生物屏障侵蚀”这一更广泛现象相符：历史上抑制或排除有害生物种群的季节性热条件，似乎正随着冬季变暖而减弱。气候变暖可能通过放宽越冬限制而促进地中海实蝇的存续，尽管再入侵压力、寄主可获得性、水果调运以及监测和管理实践也可能起作用。在马赞德兰，种植者报告在严重侵染年份柑橘树上果实损失巨大，且有害生物造成的果实伤口可能为常见的采后真菌病原体提供侵染位点，加剧了小农户的损失。当前的管理严重依赖有机磷杀虫剂，尤其是马拉硫磷，其危害分类及相关风险已有充分记录，尽管实际中与暴露相关的现实风险取决于施药条件。我们将马赞德兰的案例置于气候相关的有害生物分布区扩张和生物防治减弱的更广泛全球格局中，并认为基于韧性的替代方案——包括昆虫不育技术、昆虫病原制剂和阈值引导的数字监测，嵌入气候智慧型农业框架内——提供了一条技术上经过验证但尚未在区域内建立的可行路径。我们提出，气候性有害生物屏障值得被认定为一种生态系统服务，其在变暖下的侵蚀对温带农业系统的影响超越了本案例。","Plant-Environment Interactions","2026-09-24T00:00:00Z",78,{"impact":18,"substance":351,"depth":18,"authority":104,"freshness":187,"relevant":21,"comment":483},"以伊朗马赞德兰地中海实蝇复现为案例，提出气候性害虫屏障退化概念，并给出昆虫不育技术、数字化阈值监测等气候智慧农业路径，对暖冬区农业植保与粮食安全具参考价值。",[485],{"name":479,"url":476},[29,31,284,487,488],"柑橘产业","害虫监测",{"code":35,"slug":36,"name":37,"path":38,"parent_code":39},[],{"status":42,"locked":13,"version":43,"method":44,"evidence":492},{"candidates":493,"agricultural_evidence":49},[494,498,505,509,513,517,523],{"code":35,"score":20,"supported":49,"title":495,"abstract":496,"tags":497},[132],[],[31],{"code":499,"score":89,"supported":49,"title":500,"abstract":501,"tags":504},"B2",[],[502,503],"柑橘","citrus",[],{"code":225,"score":89,"supported":49,"title":506,"abstract":507,"tags":508},[],[228,229],[],{"code":199,"score":89,"supported":49,"title":510,"abstract":511,"tags":512},[],[214,215],[],{"code":74,"score":55,"supported":49,"title":514,"abstract":515,"tags":516},[],[241],[29],{"code":518,"score":62,"supported":49,"title":519,"abstract":520,"tags":522},"F4",[],[521],"生物防治",[],{"code":115,"score":21,"supported":13,"title":524,"abstract":525,"tags":526},[],[],[284],[528,529],"地中海实蝇 马赞德兰 柑橘","气候变暖 害虫越冬 粮食安全","地中海实蝇马赞德兰柑橘-3546","10.1002\u002Fpei3.70216",{"doi":531,"openalex_id":533,"authors":534,"venue":479,"cited_by_count":168,"oa_url":476,"card":544,"direction":173,"ingested_from":175},"W7214309725",[535,538,540,542],{"name":536,"orcid":537},"Mostafa Farajpour","https:\u002F\u002Forcid.org\u002F0000-0003-4223-502X",{"name":539,"orcid":8},"Shahab Mirinejad",{"name":541,"orcid":8},"Mitra Moezipour",{"name":543,"orcid":8},"Mohammad Sadat‐Hosseini",{"tldr":545,"method":546,"finding":547,"direction":548,"opportunity":549},"以伊朗马赞德兰省地中海实蝇重现为例，提出气候害虫屏障侵蚀概念，探讨暖冬致害虫复苏威胁粮食安全。","结合害虫监测历史、农户损失报告与文献综述，分析暖冬对越冬限制的放松。","暖冬削弱气候害虫屏障，使地中海实蝇重新定殖并扩散，威胁柑橘等作物生产与粮食安全。","农业绿色发展与碳","可量化气候害虫屏障作为生态系统服务的价值，并开发阈值引导的数字监测与气候智慧型害虫管理方案。","2026-09-26T23:30:12.754871Z"]