[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2749":3,"related-2749":92},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":64,"slug":67,"view_count":68,"doi":69,"paper":70,"created_at":91},2749,"Modeling cascading drought effects in a national food supply network using minimum cost flow","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1892770","Droughts increasingly threaten food security, yet assessments often overlook how local agricultural losses cascade through complex supply chains. We developed a spatially explicit network optimization model employing a minimum cost flow algorithm to simulate food distribution within a synthetic national-scale Swedish food supply network (a model network constructed from open geospatial data) of more than 830,000 nodes. To test the system's response to extreme hydro-climatic stress, we applied a severe drought scenario analogous to the conditions experienced in 2018. The model revealed a significant spatial disconnect: while agricultural yield losses were concentrated in southern farming regions, unmet consumer demand emerged predominantly in northern municipalities. Furthermore, network analysis showed that flow reconfiguration under drought stress created new critical bottlenecks, effectively shifting the system's overall vulnerabilities. While these specific geographic results are illustrative of the framework's diagnostic capability rather than empirically verified operational failures, they demonstrate that drought impacts propagate nonlinearly through supply networks. This underscores the critical importance of considering network topology in food security assessments. Ultimately, our approach offers a scalable framework for identifying hidden vulnerabilities and informing resilience strategies in national food supply infrastructures.","干旱日益威胁粮食安全，然而现有评估往往忽视了地方农业损失如何通过复杂供应链逐级传导。我们开发了一个空间显式网络优化模型，采用最小成本流算法，在超过83万个节点的合成全国尺度瑞典食品供应网络（基于开放地理空间数据构建的模型网络）中模拟食品分配。为检验系统对极端水文气候胁迫的响应，我们应用了一个与2018年所经历条件类似的严重干旱情景。模型揭示出显著的空间错位：农业产量损失集中在南部农业区，而未被满足的消费者需求则主要出现在北部市镇。此外，网络分析表明，干旱胁迫下的流量重构形成了新的关键瓶颈，实际上转移了系统的整体脆弱性。虽然这些具体的地理结果更多体现了该框架的诊断能力，而非经验证实的实际运行故障，但它们表明干旱影响会通过供应网络非线性传播。这凸显了在粮食安全评估中考虑网络拓扑结构的关键重要性。最终，我们的方法提供了一个可扩展的框架，用于识别隐藏的脆弱性并为国家食品供应基础设施的韧性策略提供信息。",null,"Frontiers in Sustainable Food Systems","2026-09-17T00:00:00Z","论文",10,false,86,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":13,"relevant":21,"comment":22},22,23,18,13,1,"以83万节点最小成本流网络模型揭示干旱冲击在粮食供应链中的非线性级联与瓶颈转移，方法新颖、结论有政策参考价值，属农业信息化与粮食安全交叉领域的高质量研究。",[24],{"name":10,"url":6},[26,27,28,29,30],"农业遥感","农业供应链","粮食安全","干旱风险","网络优化",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,52,59],{"code":32,"score":45,"supported":46,"title":47,"abstract":49,"tags":51},14,true,[48],"drought",[50,48],"干旱",[],{"code":53,"score":54,"supported":46,"title":55,"abstract":56,"tags":58},"A8",7,[],[28,57],"food security",[28],{"code":60,"score":21,"supported":14,"title":61,"abstract":62,"tags":63},"I3",[],[],[26],[65,66],"农业供应链 农业遥感 干旱风险 粮食安全","农业供应链 农业遥感","农业供应链农业遥感干旱风险粮食安全-2749",4,"10.3389\u002Ffsufs.2026.1892770",{"doi":69,"openalex_id":71,"authors":72,"venue":10,"cited_by_count":83,"oa_url":6,"card":84,"direction":88,"ingested_from":90},"W7213455583",[73,75,78,80],{"name":74,"orcid":9},"Noor Bosman",{"name":76,"orcid":77},"Samuel Jonson Sutanto","https:\u002F\u002Forcid.org\u002F0000-0003-4903-6445",{"name":79,"orcid":9},"Zahra Kalantari",{"name":81,"orcid":82},"Marlon Vieira Passos","https:\u002F\u002Forcid.org\u002F0000-0002-3111-4583",0,{"tldr":85,"method":86,"finding":87,"direction":88,"opportunity":89},"构建瑞典全国食品供应网络最小成本流模型，模拟干旱下农业损失沿供应链级联传播。","基于开放地理数据构建83万节点网络，用最小成本流算法模拟2018年干旱情景。","南部减产却导致北部需求缺口，干旱使网络瓶颈转移，影响非线性传播。","农业人工智能与决策模型","可结合真实贸易流与多灾种情景，开发动态网络韧性评估与优化决策工具。","openalex","2026-09-17T23:30:07.182055Z",{"total":93,"page":21,"page_size":93,"items":94},6,[95,176,285,366,425,511],{"id":96,"title":97,"url":98,"summary":99,"summary_zh":100,"content":9,"source_name":101,"source_url":98,"published_at":102,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":103,"score_detail":104,"sources":109,"tags":111,"primary_topic":115,"secondary_topics":120,"classification":128,"search_phrases":156,"slug":159,"view_count":21,"doi":160,"paper":161,"created_at":175},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",77,{"impact":19,"substance":105,"depth":106,"authority":20,"freshness":107,"relevant":21,"comment":108},20,17,9,"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。",[110],{"name":101,"url":98},[112,27,28,113,114],"智慧农业","精准农业","地缘政治",{"code":53,"slug":116,"name":117,"path":118,"parent_code":119},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[121,122],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"code":123,"slug":124,"name":125,"path":126,"parent_code":127},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",{"status":39,"locked":14,"version":40,"method":41,"evidence":129},{"candidates":130,"agricultural_evidence":46},[131,136,143,149],{"code":53,"score":132,"supported":46,"title":133,"abstract":134,"tags":135},15,[57],[28,57],[28],{"code":137,"score":138,"supported":46,"title":139,"abstract":140,"tags":142},"I1",11,[],[112,113,141],"precision agriculture",[112,113],{"code":32,"score":107,"supported":46,"title":144,"abstract":145,"tags":148},[],[146,50,147],"气候变化","climate change",[],{"code":123,"score":107,"supported":46,"title":150,"abstract":151,"tags":155},[],[152,153,154],"物联网","internet of things","IoT",[],[157,158],"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":160,"openalex_id":162,"authors":163,"venue":101,"cited_by_count":83,"oa_url":98,"card":169,"direction":173,"ingested_from":90},"W7222902031",[164,166],{"name":165,"orcid":9},"Parameswaran Mahendran",{"name":167,"orcid":168},"Wong Sing Yun","https:\u002F\u002Forcid.org\u002F0000-0001-5776-8852",{"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。","2026-10-19T23:30:07.850994Z",{"id":177,"title":178,"url":179,"summary":180,"summary_zh":181,"content":9,"source_name":182,"source_url":179,"published_at":183,"category":12,"cover_url":9,"hotness":13,"is_selected":46,"score":184,"score_detail":185,"sources":187,"tags":189,"primary_topic":192,"secondary_topics":193,"classification":199,"search_phrases":261,"slug":264,"view_count":241,"doi":265,"paper":266,"created_at":284},3542,"Drought vulnerability assessment and its severe impact on crop production and livelihood of people: An empirical modelling of northern Ghana","https:\u002F\u002Fdoi.org\u002F10.1371\u002Fjournal.pclm.0001038","Climate change is intensifying drought vulnerability in northern Ghana, posing serious risks to crop production, food security, and rural livelihoods in semi-arid regions. This study develops an empirical modelling framework to assess drought vulnerability and impacts at three temporal horizons, 2026–2050, 2051–2075, and 2076–2100, under SSP1-2.6 and SSP5-8.5 scenarios. We integrated bias-corrected outputs from five CMIP6 models, MRI-ESM2–0, EC-Earth3, IPSL-CM6A-LR, CESM2, and HadGEM3-GC31-LL, downscaled to 0.25° resolution, with drought indices including the Standardized Precipitation Index SPI, Reconnaissance Drought Index RDI, Normalized Difference Drought Index NDDI, and Soil Moisture Index SMI. These were combined with MODIS-derived Normalized Difference Vegetation Index NDVI, population density, and land use\u002Fland cover using GIS-based tools to generate composite drought vulnerability maps. CMIP6 models were validated against reference datasets and showed strong performance for annual precipitation, r = 0.95, RMSE = 3.4 mm, and temperature, r = 0.99, RMSE = 0.47–0.74°C. Results project increasing drought severity, with mean temperature rises of 2.0–3.9°C and rainfall declines up to 19% by 2100. Crop yields for maize, millet, sorghum, and groundnuts are expected to fall by 25–60% by 2050, with maize showing the strongest negative correlation to drought severity, r = –0.72, p \u003C 0.01, confirmed by Mann-Kendall trends at the 95% confidence level. About 84% of the study area is classified as highly vulnerable due to limited adaptive capacity, over 80% dependence on rain-fed agriculture, more than 49% household food insecurity, less than 23% cropland use, and under 5% water body coverage. Significant uncertainties remain in precipitation projections, with some models showing divergent temperature trends, highlighting challenges in modelling climate impacts. The findings underscore the urgent need for district-level drought preparedness, solar-powered irrigation, index insurance, climate-smart agriculture, and Disaster Risk Reduction aligned with UNDRR and Sendai Framework priorities to build resilience in northern Ghana.","气候变化正在加剧加纳北部的干旱脆弱性，对半干旱地区的作物生产、粮食安全和农村生计构成严重风险。本研究构建了一个经验建模框架，用于评估2026—2050年、2051—2075年和2076—2100年三个时间尺度下SSP1-2.6和SSP5-8.5情景中的干旱脆弱性及其影响。我们将五个CMIP6模型（MRI-ESM2–0、EC-Earth3、IPSL-CM6A-LR、CESM2和HadGEM3-GC31-LL）的偏差校正输出降尺度至0.25°分辨率，并与标准化降水指数（SPI）、侦察干旱指数（RDI）、归一化差值干旱指数（NDDI）和土壤水分指数（SMI）等干旱指数相结合。这些数据与MODIS衍生的归一化差值植被指数（NDVI）、人口密度以及土地利用\u002F土地覆盖数据通过基于GIS的工具相结合，生成综合干旱脆弱性地图。CMIP6模型经参考数据集验证，在年降水量（r = 0.95，RMSE = 3.4 mm）和温度（r = 0.99，RMSE = 0.47–0.74°C）方面表现出色。结果预测干旱严重程度将加剧，到2100年平均气温上升2.0–3.9°C，降雨量下降高达19%。到2050年，玉米、小米、高粱和花生的作物产量预计将下降25–60%，其中玉米与干旱严重程度呈最强负相关（r = –0.72，p \u003C 0.01），并经Mann-Kendall趋势检验在95%置信水平上得到证实。约84%的研究区域被归类为高度脆弱，原因包括适应能力有限、超过80%依赖雨养农业、超过49%的家庭粮食不安全、不足23%的耕地利用率以及低于5%的水体覆盖率。降水预测仍存在显著不确定性，部分模型显示出不同的温度趋势，凸显了气候影响建模的挑战。研究结果强调迫切需要开展县级干旱备灾、太阳能灌溉、指数保险、气候智慧型农业以及与UNDRR和仙台框架优先事项一致的风险减灾工作，以增强加纳北部的韧性。","PLOS Climate","2026-09-25T00:00:00Z",82,{"impact":19,"substance":18,"depth":19,"authority":45,"freshness":107,"relevant":21,"comment":186},"基于CMIP6多模型与遥感指数的干旱脆弱性实证研究，数据扎实、结论明确，对半干旱区农业防灾与气候适应有参考价值。",[188],{"name":182,"url":179},[28,190,146,191,29],"防灾减灾","遥感监测",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[194],{"code":195,"slug":196,"name":197,"path":198,"parent_code":119},"A5","tubers-grains","薯类与杂粮","\u002Ftopic\u002Ffield-crops\u002Ftubers-grains",{"status":39,"locked":14,"version":40,"method":41,"evidence":200},{"candidates":201,"agricultural_evidence":46},[202,207,214,218,225,232,239,246,251,257],{"code":32,"score":203,"supported":46,"title":204,"abstract":205,"tags":206},19,[48],[146,50,147,48],[146,190],{"code":195,"score":107,"supported":46,"title":208,"abstract":209,"tags":213},[],[210,211,212],"高粱","sorghum","millet",[],{"code":53,"score":54,"supported":46,"title":215,"abstract":216,"tags":217},[],[28,57],[28],{"code":219,"score":93,"supported":46,"title":220,"abstract":221,"tags":224},"A3",[],[222,223],"玉米","maize",[],{"code":226,"score":93,"supported":46,"title":227,"abstract":228,"tags":231},"H2",[],[229,230],"土壤","soil",[],{"code":233,"score":93,"supported":46,"title":234,"abstract":235,"tags":238},"H3",[],[236,237],"灌溉","irrigation",[],{"code":240,"score":241,"supported":46,"title":242,"abstract":243,"tags":245},"A4",3,[],[244],"花生",[],{"code":137,"score":241,"supported":46,"title":247,"abstract":248,"tags":250},[],[249],"smart agriculture",[],{"code":252,"score":241,"supported":46,"title":253,"abstract":254,"tags":256},"I4",[],[255],"GIS",[],{"code":60,"score":21,"supported":14,"title":258,"abstract":259,"tags":260},[],[],[191],[262,263],"加纳北部 干旱 玉米","CMIP6 干旱脆弱性 作物产量","加纳北部干旱玉米-3542","10.1371\u002Fjournal.pclm.0001038",{"doi":265,"openalex_id":267,"authors":268,"venue":182,"cited_by_count":83,"oa_url":179,"card":278,"direction":173,"ingested_from":90},"W7214399028",[269,272,275],{"name":270,"orcid":271},"Theophilus Francis Kofitio","https:\u002F\u002Forcid.org\u002F0009-0000-7147-6581",{"name":273,"orcid":274},"Peace Korshiwor Amoatey","https:\u002F\u002Forcid.org\u002F0000-0002-2794-9721",{"name":276,"orcid":277},"Evans Asenso","https:\u002F\u002Forcid.org\u002F0000-0003-3116-6356",{"tldr":279,"method":280,"finding":281,"direction":282,"opportunity":283},"构建干旱脆弱性经验模型，评估加纳北部未来气候情景下作物与生计影响。","集成5个CMIP6模型、SPI\u002FRDI\u002FNDDI\u002FSMI指数与MODIS NDV","至2100年升温2.0-3.9°C、降水降19%，2050年作物减产25-60%，84%区域高度脆弱","农业遥感与作物表型","可结合遥感干旱指数与作物模型，在数据稀缺区开展多情景脆弱性动态评估与适应策略优化。","2026-09-26T23:30:10.153994Z",{"id":286,"title":287,"url":288,"summary":289,"summary_zh":290,"content":9,"source_name":291,"source_url":288,"published_at":292,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":293,"score_detail":294,"sources":299,"tags":301,"primary_topic":305,"secondary_topics":306,"classification":312,"search_phrases":347,"slug":350,"view_count":241,"doi":351,"paper":352,"created_at":365},3058,"Climate Change and Crop Production Vulnerability in Somalia: A VECM Analysis for Sustainable Agriculture","https:\u002F\u002Fdoi.org\u002F10.22004\u002Fag.econ.412749","Somali crop production is vulnerable to climate change, as agriculture is heavily reliant on rainfall. Increased temperatures, sporadic rainfall, and higher levels of CO2 emissions threaten food security as well as the livelihoods in rural areas. While global studies discuss these issues, there is a lack of empirical research on Somalia. This research attempts to study the gap created by the absence of research regarding the vulnerability of crop production to climate change and its sustainable agriculture aspects. The study uses a vector error correction model (VECM) to evaluate how climate factors, including temperature, rainfall, CO2 emissions, land designated for agriculture, and labour, affect crop production in the short and long term. The study found that CO₂, temperature, and rainfall lead to boosted crop production in the short term because of the traditional adaptation strategies employed by farmers. In the long term, a 1% increase in CO2 emissions leads to a 57% reduction in crop production, and a similar rise in temperature causes production levels to fall over 100%. Rainfall, agricultural land, and labour continue to positively influence production levels in both periods. These results strongly indicate the necessity of climate-resilient strategies, better irrigation systems, and new forms of farming. The promotion of climate-smart agriculture will help mitigate the negative effects of climate change on the agricultural sector of Somalia while simultaneously catering to the issue of food security.","索马里作物生产易受气候变化影响，因为农业高度依赖降雨。气温升高、降雨不稳定以及二氧化碳排放量增加，威胁着粮食安全以及农村地区的生计。尽管全球研究讨论了这些问题，但缺乏关于索马里的实证研究。本研究试图填补因缺乏关于作物生产对气候变化的脆弱性及其可持续农业方面的研究而造成的空白。该研究采用向量误差修正模型（VECM），评估气候因素（包括气温、降雨、二氧化碳排放、农业用地和劳动力）在短期和长期内如何影响作物生产。研究发现，由于农民采用传统适应策略，二氧化碳、气温和降雨在短期内会促进作物生产。从长期来看，二氧化碳排放量增加1%会导致作物生产减少57%，气温类似上升会导致生产水平下降超过100%。降雨、农业用地和劳动力在两个时期都持续对生产水平产生积极影响。这些结果强烈表明，有必要采取气候韧性策略、改善灌溉系统并采用新型耕作方式。推广气候智能型农业将有助于减轻气候变化对索马里农业部门的负面影响，同时兼顾粮食安全问题。","AgEcon Search (University of Minnesota, USA)","2026-09-20T00:00:00Z",71,{"impact":295,"substance":296,"depth":106,"authority":20,"freshness":297,"relevant":21,"comment":298},12,21,8,"以VECM量化索马里气候因子对作物生产的短长期影响，结论具政策参考价值，但属区域国别研究，公共影响有限。",[300],{"name":291,"url":288},[26,28,302,303,304],"气候智慧农业","灌溉系统","索马里农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[307],{"code":308,"slug":309,"name":310,"path":311,"parent_code":36},"H8","sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture",{"status":39,"locked":14,"version":40,"method":41,"evidence":313},{"candidates":314,"agricultural_evidence":46},[315,319,325,329,333,339,343],{"code":32,"score":132,"supported":46,"title":316,"abstract":317,"tags":318},[147],[146,147],[302],{"code":308,"score":45,"supported":46,"title":320,"abstract":322,"tags":324},[321],"sustainable agriculture",[323,321],"可持续农业",[],{"code":53,"score":54,"supported":46,"title":326,"abstract":327,"tags":328},[],[28,57],[28],{"code":233,"score":93,"supported":46,"title":330,"abstract":331,"tags":332},[],[236,237],[],{"code":334,"score":241,"supported":46,"title":335,"abstract":336,"tags":338},"H4",[],[337],"碳排放",[],{"code":137,"score":241,"supported":46,"title":340,"abstract":341,"tags":342},[],[249],[],{"code":60,"score":21,"supported":14,"title":344,"abstract":345,"tags":346},[],[],[26],[348,349],"索马里 作物生产 气候变化","VECM 气候智慧农业","索马里作物生产气候变化-3058","10.22004\u002Fag.econ.412749",{"doi":351,"openalex_id":353,"authors":354,"venue":291,"cited_by_count":83,"oa_url":288,"card":359,"direction":173,"ingested_from":90},"W7213772032",[355,357],{"name":356,"orcid":9},"Mohamed Nur Abdulkadir",{"name":358,"orcid":9},"Yassin Sheikh Ali Ali",{"tldr":360,"method":361,"finding":362,"direction":363,"opportunity":364},"用VECM分析索马里气候变化对作物生产的短期与长期影响。","VECM模型，变量含温度、降雨、CO2、农地、劳动力。","短期CO2、温度、降雨促产，长期CO2增1%减产57%，温度增1%减产超100%。","农业绿色发展与碳","可结合气候智慧型农业与灌溉技术，研究小农户适应策略的长期有效性。","2026-09-21T23:30:09.204353Z",{"id":367,"title":368,"url":369,"summary":370,"summary_zh":9,"content":9,"source_name":371,"source_url":9,"published_at":372,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":184,"score_detail":373,"sources":375,"tags":377,"primary_topic":381,"secondary_topics":386,"classification":392,"search_phrases":412,"slug":415,"view_count":21,"doi":9,"paper":416,"created_at":424},5535,"基于无人机多光谱图像与VGG21模型的小麦渍害调控效果识别","https:\u002F\u002Ffinance.sina.cn\u002F2026-10-16\u002Fdetail-inivmprm8363597.d.html","江苏省农科院农业信息研究所联合中国农科院环发所与湖北省农科院粮作所，在小麦拔节至抽穗、抽穗至灌浆两个阶段设置对照、渍水胁迫、硅肥与氨基酸调控试验，用大疆精灵4采集冠层多光谱影像。VGG21模型对硅肥调控识别正确率超91%，精度96.42%、召回率89.53%。","智慧农业（中英文）2026-10-21","2026-10-21T00:00:00Z",{"impact":19,"substance":17,"depth":19,"authority":45,"freshness":13,"relevant":21,"comment":374},"省级科研机构联合攻关，方法新颖、数据扎实，对渍害遥感识别与调控评估有实质参考价值，值得入选。",[376],{"name":371,"url":369},[112,26,378,379,380],"作物表型","无人机多光谱","小麦渍害",{"code":382,"slug":383,"name":384,"path":385,"parent_code":119},"A2","wheat","小麦","\u002Ftopic\u002Ffield-crops\u002Fwheat",[387,391],{"code":60,"slug":388,"name":389,"path":390,"parent_code":127},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":393},{"candidates":394,"agricultural_evidence":46},[395,399,403,408],{"code":382,"score":138,"supported":46,"title":396,"abstract":397,"tags":398},[384],[384],[],{"code":60,"score":138,"supported":46,"title":400,"abstract":401,"tags":402},[379],[],[378,26,379],{"code":32,"score":297,"supported":46,"title":404,"abstract":406,"tags":407},[405],"渍害",[],[],{"code":137,"score":21,"supported":14,"title":409,"abstract":410,"tags":411},[],[],[112],[413,414],"江苏省农科院 小麦渍害 多光谱","VGG21 小麦 硅肥调控","江苏省农科院小麦渍害多光谱-5535",{"doi":9,"openalex_id":9,"authors":417,"venue":9,"cited_by_count":83,"oa_url":9,"card":418,"direction":282,"ingested_from":423},[],{"tldr":419,"method":420,"finding":421,"direction":282,"opportunity":422},"用无人机多光谱图像和VGG21模型识别小麦渍害后硅肥与氨基酸调控效果。","大疆精灵4采集冠层多光谱影像，构建VGG21深度学习分类模型。","VGG21对硅肥调控识别正确率超91%，精度96.42%、召回率89.53%。","可扩展多生育期、多调控组合与轻量化模型，探索渍害胁迫等级与调控效果的同步识别。","agent","2026-10-22T00:07:10.070916Z",{"id":426,"title":427,"url":428,"summary":429,"summary_zh":430,"content":9,"source_name":431,"source_url":428,"published_at":432,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":433,"score_detail":434,"sources":436,"tags":438,"primary_topic":442,"secondary_topics":443,"classification":451,"search_phrases":488,"slug":491,"view_count":83,"doi":492,"paper":493,"created_at":510},5478,"Characterisation of Food Security Situation for Smallholder Farmers in Zvimba","https:\u002F\u002Fdoi.org\u002F10.71458\u002Frx0qpm30","This study provides a comprehensive analysis of the food security situation among smallholder farmers (SHFs) in Zvimba District, Zimbabwe. Smallholder agriculture is the bedrock of Zimbabwe's food system, yet it remains highly vulnerable to a complex array of shocks and stressors. Using a mixed-methods approach, this research investigates the prevalence, drivers and lived experiences of food insecurity within this community. A structured survey was administered to 412 randomly selected smallholder households across the district's wards. The quantitative data were supplemented by 12 Focus Group Discussions (FGDs) and 24 Key Informant Interviews (KIIs) with farmers, community leaders and agricultural extension officers to capture qualitative nuances. The study is grounded in the Food Security Theory (FST), which conceptualises food security through its four pillars: food availability, food access, food utilisation and food stability. Findings reveal a precarious food security situation. Quantitatively, 78.4% of households were found to be food insecure, with an average Hunger Months Index of 4.7 months per year. The study identifies a significant disconnect between maize production, the national staple and household consumption, with over 65% of households failing to produce enough maize to meet their annual requirements. Qualitative data illuminated the multi-faceted drivers of this insecurity. Key points to note include climate change whereby erratic rainfall and prolonged mid-season dry spells were consistently reported as the primary production challenges, limited access to farming inputs whereby high costs and unreliable supplies of certified seeds, fertilizers and agro[1]chemicals constrain productivity. Morelso, socio-economic factors such as poverty, lack of viable alternative livelihoods and limited access to formal credit perpetuate a cycle of vulnerability. In addition, institutional weaknesses, for example, challenges with agricultural extension services and market inefficiencies, exacerbate the situation. The study concludes that food insecurity in Zvimba is not merely a problem of food production, but is deeply rooted in structural issues affecting food access, food utilisation, as well as food stability. Recommendations are proposed for a multi-sectoral approach, including promoting Climate-Smart Agriculture (CSA) and drought-resistant crops, strengthening input support systems and rural finance, diversifying livelihood strategies and enhancing the capacity of extension services. This research contributes to a deeper understanding of the localised dynamics of food security and provides evidence-based guidance for policymakers, development practitioners and the farmers of Zvimba themselves.","本研究对津巴布韦兹维姆巴区小农户（smallholder farmers, SHFs）的粮食安全状况进行了全面分析。小农农业是津巴布韦粮食体系的基石，但仍极易受到一系列复杂冲击和压力的影响。本研究采用混合方法，考察了该社区粮食不安全的普遍程度、驱动因素及生活体验。研究对该区各选区随机抽取的412户小农户进行了结构化问卷调查。定量数据辅以12次焦点小组讨论（FGDs）和24次关键知情人访谈（KIIs），访谈对象包括农民、社区领袖和农业推广人员，以捕捉定性层面的细微差异。本研究以粮食安全理论（Food Security Theory, FST）为基础，该理论通过四大支柱界定粮食安全：粮食可供性、粮食获取、粮食利用和粮食稳定性。研究结果揭示了严峻的粮食安全形势。定量数据显示，78.4%的家庭存在粮食不安全，年均饥饿月份指数为4.7个月。研究发现，玉米产量——该国主粮——与家庭消费之间存在显著脱节，超过65%的家庭生产的玉米不足以满足其年度需求。定性数据揭示了这一不安全状况的多重驱动因素。值得注意的要点包括：气候变化，即降雨不稳定和持续的中期干旱被一致报告为主要生产挑战；农业投入品获取受限，即认证种子、化肥和农用化学品成本高昂且供应不可靠，制约了生产力。此外，贫困、缺乏可行的替代生计以及正规信贷获取受限等社会经济因素使脆弱性循环持续存在。此外，制度薄弱环节，例如农业推广服务面临的挑战和市场效率低下，加剧了这一状况。研究得出结论，兹维姆巴的粮食不安全不仅仅是粮食生产问题，而是深深植根于影响粮食获取、粮食利用以及粮食稳定性的结构性问题。研究提出了采取多部门方法的建议，包括推广气候智能型农业（Climate-Smart Agriculture, CSA）和抗旱作物、加强投入品支持体系和农村金融、多样化生计策略以及增强","Ngenani The Zimbabwe Ezekiel Guti Journal of Community Engagement and Societal Transformations","2026-10-20T00:00:00Z",55,{"impact":297,"substance":19,"depth":132,"authority":93,"freshness":297,"relevant":21,"comment":435},"基于412户调查与混合方法的扎实实证研究，但属津巴布韦地方性案例，公共影响与信源权威度有限，可作参考而非每日精选。",[437],{"name":431,"url":428},[28,439,302,440,441],"小农户","农业推广","津巴布韦",{"code":53,"slug":116,"name":117,"path":118,"parent_code":119},[444,450],{"code":445,"slug":446,"name":447,"path":448,"parent_code":449},"G2","farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":452},{"candidates":453,"agricultural_evidence":46},[454,458,463,467,473,477,484],{"code":53,"score":132,"supported":46,"title":455,"abstract":456,"tags":457},[57],[28,57],[28],{"code":445,"score":132,"supported":46,"title":459,"abstract":461,"tags":462},[460],"smallholder",[439,460],[439],{"code":32,"score":13,"supported":46,"title":464,"abstract":465,"tags":466},[],[146,50,147,48],[302],{"code":468,"score":54,"supported":46,"title":469,"abstract":470,"tags":472},"G1",[],[440,471],"agricultural extension",[440],{"code":219,"score":93,"supported":46,"title":474,"abstract":475,"tags":476},[],[222,223],[],{"code":478,"score":93,"supported":46,"title":479,"abstract":480,"tags":483},"G3",[],[481,482],"农村金融","rural finance",[],{"code":137,"score":241,"supported":46,"title":485,"abstract":486,"tags":487},[],[249],[],[489,490],"Zvimba 小农户 粮食安全","津巴布韦 小农 玉米","Zvimba小农户粮食安全-5478","10.71458\u002Frx0qpm30",{"doi":492,"openalex_id":494,"authors":495,"venue":431,"cited_by_count":83,"oa_url":9,"card":504,"direction":173,"ingested_from":90},"W7223029383",[496,499,502],{"name":497,"orcid":498},"Casper Myambo","https:\u002F\u002Forcid.org\u002F0009-0007-8625-7526",{"name":500,"orcid":501},"Chipo Plaxedes Mubaya","https:\u002F\u002Forcid.org\u002F0000-0002-4123-0238",{"name":503,"orcid":9},"Patience Mutopo",{"tldr":505,"method":506,"finding":507,"direction":508,"opportunity":509},"调查津巴布韦Zvimba小农户粮食安全状况，分析其普遍性、成因与实际体验。","混合方法：412户问卷、12场焦点小组、24个关键人物访谈，基于粮食安全四支柱理","78.4%家庭粮食不安全，年均饥饿月4.7个月，主因是气候、投入、社会经济与制度等结构性问题。","数字乡村与农业信息化","可探索用移动端问卷与遥感产量监测构建小农户粮食安全动态预警与精准干预系统。","2026-10-21T23:30:08.937079Z",{"id":512,"title":513,"url":514,"summary":515,"summary_zh":516,"content":9,"source_name":517,"source_url":514,"published_at":518,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":519,"score_detail":520,"sources":522,"tags":524,"primary_topic":527,"secondary_topics":528,"classification":532,"search_phrases":573,"slug":576,"view_count":83,"doi":9,"paper":577,"created_at":591},5312,"Agricultural Production under Climate Change in Afghanistan: Impacts, Challenges and Adaptation Options (A Review)","https:\u002F\u002Fesrj.edu.af\u002Fesrj\u002Farticle\u002Fview\u002F123","Climate change poses serious challenges to agriculture in Afghanistan, a country largely dependent on rainfed farming and highly vulnerable to water scarcity, drought, and temperature extremes. Understanding the impacts of climate variability and identifying effective adaptation strategies are essential to sustain agricultural productivity and ensure food security. This systematic review synthesizes empirical, modeling, and review studies on climate change effects on Afghan agriculture, assesses adaptation measures, and integrates regional experiences from Pakistan, Iran, Tajikistan, and Uzbekistan. A structured literature search was conducted using peer-reviewed articles, institutional reports, and regional studies published between 2000 and 2025. Studies were selected based on relevance to Afghan agro-ecological systems, climate stressors, and adaptation strategies. We extracted data using a structured table format following PRISMA guidelines, combining national and regional evidence. Findings indicate that water scarcity, prolonged drought, rising temperatures, and erratic precipitation are the main stressors affecting major crops, including wheat, barley, chickpea, maize, and cotton. Yield reductions ranged from 12% to 25% across provinces. Adaptation strategies such as Climate-Smart Agriculture (CSA), efficient irrigation (drip and sprinkler), rainwater harvesting, mulching, and drought- or heat-tolerant crop varieties were most effective. Regional evidence confirms the transferability of these measures under similar agro-climatic conditions. In conclusion, climate change significantly threatens agricultural productivity in Afghanistan. Evidence-based adaptation strategies, supported by coordinated policy and capacity-building initiatives, can enhance resilience, protect rural livelihoods, and ensure sustainable food security.","气候变化对阿富汗农业构成严峻挑战，该国农业在很大程度上依赖雨养耕作，极易受到水资源短缺、干旱和极端温度的影响。理解气候变异的影响并确定有效的适应策略，对于维持农业生产力和保障粮食安全至关重要。本系统综述综合了关于气候变化对阿富汗农业影响的实证研究、模拟研究和综述研究，评估了适应措施，并整合了巴基斯坦、伊朗、塔吉克斯坦和乌兹别克斯坦的区域经验。采用结构化文献检索方法，检索了2000年至2025年间发表的同行评审论文、机构报告和区域研究。研究依据其与阿富汗农业生态系统、气候胁迫因子和适应策略的相关性进行筛选。我们遵循PRISMA指南，采用结构化表格格式提取数据，综合了国家层面和区域层面的证据。研究结果表明，水资源短缺、持续干旱、气温上升和降水不稳定是影响主要作物（包括小麦、大麦、鹰嘴豆、玉米和棉花）的主要胁迫因子。各省产量降幅在12%至25%之间。气候智慧型农业（CSA）、高效灌溉（滴灌和喷灌）、雨水收集、覆盖栽培以及耐旱或耐热作物品种等适应策略最为有效。区域证据证实了这些措施在相似农业气候条件下的可推广性。总之，气候变化显著威胁阿富汗的农业生产力。以协调政策和能力建设举措为支撑的循证适应策略能够增强韧性、保护农村生计并确保可持续的粮食安全。","ESRJ","2026-10-16T00:00:00Z",73,{"impact":19,"substance":105,"depth":106,"authority":295,"freshness":93,"relevant":21,"comment":521},"系统综述整合2000-2025年证据，量化减产12%-25%并提出可迁移的适应策略，对区域农业气候韧性研究有参考价值，但非国内三农政策或产业事件，时效性一般。",[523],{"name":517,"url":514},[112,28,146,525,526],"适应性策略","水资源短缺",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[529],{"code":233,"slug":237,"name":530,"path":531,"parent_code":36},"水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":39,"locked":14,"version":40,"method":41,"evidence":533},{"candidates":534,"agricultural_evidence":46},[535,539,544,548,552,556,563,567],{"code":32,"score":19,"supported":46,"title":536,"abstract":537,"tags":538},[147],[146,50,147,48],[146],{"code":233,"score":107,"supported":46,"title":540,"abstract":541,"tags":543},[],[236,542,237],"水资源",[],{"code":53,"score":54,"supported":46,"title":545,"abstract":546,"tags":547},[],[28,57],[28],{"code":382,"score":93,"supported":46,"title":549,"abstract":550,"tags":551},[],[384,383],[],{"code":219,"score":93,"supported":46,"title":553,"abstract":554,"tags":555},[],[222,223],[],{"code":557,"score":93,"supported":46,"title":558,"abstract":559,"tags":562},"A6",[],[560,561],"棉花","cotton",[],{"code":137,"score":68,"supported":46,"title":564,"abstract":565,"tags":566},[],[249],[112],{"code":568,"score":241,"supported":46,"title":569,"abstract":570,"tags":572},"H6",[],[571],"农业生态",[],[574,575],"阿富汗 气候变化","气候智慧型农业 灌溉","阿富汗气候变化-5312",{"doi":9,"openalex_id":578,"authors":579,"venue":517,"cited_by_count":83,"oa_url":514,"card":586,"direction":173,"ingested_from":90},"W7222907396",[580,582,584],{"name":581,"orcid":9},"Mohammad Shafiq Faieq",{"name":583,"orcid":9},"Mustafa Abid",{"name":585,"orcid":9},"Abdul khalil Afghani",{"tldr":587,"method":588,"finding":589,"direction":363,"opportunity":590},"系统综述气候变化对阿富汗农业的影响、挑战与适应策略。","按PRISMA检索2000-2025年文献，整合阿富汗及周边四国区域证据。","水资源短缺与干旱致主要作物减产12%-25%，气候智慧型农业与节水灌溉最有效。","可研究气候智慧型农业措施在阿富汗及周边干旱区的本地化适配与推广机制。","2026-10-19T23:30:11.285828Z"]