[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3531":3,"related-3531":109},{"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":43,"search_phrases":84,"slug":87,"view_count":21,"doi":88,"paper":89,"created_at":108},3531,"Extreme climate shocks and agricultural net carbon sinks: the moderating role of supply chain resilience in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1940685","Introduction Extreme climate shocks increasingly challenge the ability of agricultural systems to sustain crop carbon fixation while controlling production-related emissions. Methods Using panel data for 240 Chinese cities from 2002 to 2023, this study examines the relationships between four climate shocks—extreme high temperature (HTD), extreme low temperature (LTD), extreme rainfall (ERD), and extreme drought (EED)—and agricultural net carbon sinks (NCS), together with the moderating role of agricultural supply chain resilience. NCS is measured as annual crop-biomass carbon fixation net of selected agricultural production emissions, thereby providing an integrated, production-based indicator of agricultural carbon performance. Results Two-way fixed-effects estimates show that all four climate shocks are negatively associated with NCS, and the direction of these relationships remains stable across alternative accounting boundaries, sample adjustments, leave-one-province-out tests, and double machine learning specifications. Agricultural supply chain resilience significantly conditions the climate–carbon relationship. Its resistance, recovery, and reorientation capacities attenuate the adverse associations of high-temperature, extreme-rainfall, and drought shocks with NCS. The low-temperature result further indicates that the effectiveness of resilience depends on matching supply chain functions with the biological mechanisms and intervention windows of specific climate hazards. Heterogeneity analyses confirm that climate sensitivity and resilience requirements vary with regional location, agricultural productivity, modernization, and irrigation conditions. Complementary machine-learning analysis identifies nonlinear predictive patterns and reinforces the importance of differentiated adaptation. Discussion These findings extend agricultural climate research from production and emissions to an integrated carbon-balance perspective and demonstrate that hazard-specific supply chain resilience can support both climate adaptation and low-carbon agricultural development.","引言 极端气候冲击日益挑战农业系统在维持作物碳固定的同时控制生产相关排放的能力。方法 本研究利用2002年至2023年中国240个城市的面板数据，考察四种气候冲击——极端高温（HTD）、极端低温（LTD）、极端降雨（ERD）和极端干旱（EED）——与农业净碳汇（NCS）之间的关系，以及农业供应链韧性的调节作用。NCS以年度作物生物量碳固定量扣除部分农业生产排放量来衡量，从而提供一个基于生产的综合性农业碳绩效指标。结果 双向固定效应估计表明，四种气候冲击均与NCS呈负相关，且这些关系的方向在替代核算边界、样本调整、逐一剔除省份检验和双重机器学习设定下均保持稳定。农业供应链韧性显著调节气候—碳关系。其抵抗能力、恢复能力和重新定向能力减弱了高温、极端降雨和干旱冲击与NCS之间的不利关联。低温结果进一步表明，韧性的有效性取决于供应链功能与特定气候灾害的生物机制及干预窗口的匹配。异质性分析证实，气候敏感性和韧性需求因区域位置、农业生产率、现代化水平和灌溉条件而异。补充性机器学习分析识别出非线性预测模式，并强化了差异化适应的重要性。讨论 这些发现将农业气候研究从生产和排放拓展至综合碳平衡视角，并表明针对特定灾害的供应链韧性能够同时支持气候适应和农业低碳发展。",null,"Frontiers in Sustainable Food Systems","2026-09-25T00:00:00Z","论文",10,false,80,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,13,9,1,"基于240城22年面板数据的实证研究，方法扎实、结论稳健，对农业气候适应与低碳发展有参考价值，但属学术论文，公共传播性有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"智慧农业","农业供应链","低碳农业","气候韧性","农业碳汇",{"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",[38],{"code":39,"slug":40,"name":41,"path":42,"parent_code":36},"H4","carbon","农业碳与绿色低碳","\u002Ftopic\u002Fenvironment\u002Fcarbon",{"status":44,"locked":14,"version":45,"method":46,"evidence":47},"classified","2026-10-22.2","rules",{"candidates":48,"agricultural_evidence":50},[49,57,64,72,79],{"code":32,"score":13,"supported":50,"title":51,"abstract":52,"tags":56},true,[],[53,54,55],"气候适应","干旱","drought",[29],{"code":39,"score":58,"supported":50,"title":59,"abstract":60,"tags":63},8,[],[61,62],"碳汇","农业碳",[28,30],{"code":65,"score":66,"supported":50,"title":67,"abstract":68,"tags":71},"H3",6,[],[69,70],"灌溉","irrigation",[],{"code":73,"score":66,"supported":50,"title":74,"abstract":75,"tags":78},"I2",[],[76,77],"机器学习","machine learning",[],{"code":80,"score":21,"supported":14,"title":81,"abstract":82,"tags":83},"I1",[],[],[26],[85,86],"中国 农业净碳汇 极端气候","农业供应链韧性 气候适应","中国农业净碳汇极端气候-3531","10.3389\u002Ffsufs.2026.1940685",{"doi":88,"openalex_id":90,"authors":91,"venue":10,"cited_by_count":100,"oa_url":6,"card":101,"direction":105,"ingested_from":107},"W7214310732",[92,94,97],{"name":93,"orcid":9},"Chunyan Zhao",{"name":95,"orcid":96},"Jiajie Xia","https:\u002F\u002Forcid.org\u002F0000-0003-3225-0154",{"name":98,"orcid":99},"Guoping Ding","https:\u002F\u002Forcid.org\u002F0000-0002-4865-5044",0,{"tldr":102,"method":103,"finding":104,"direction":105,"opportunity":106},"基于240个城市2002-2023年面板数据，检验四类极端气候冲击对农业净碳汇的影响及供应链韧性的调","双向固定效应模型、双重机器学习，240城市面板数据，农业净碳汇指标。","四类极端气候冲击均降低农业净碳汇，供应链韧性可显著缓解高温、暴雨和干旱的负面影响。","农业绿色发展与碳","可探究不同气候灾害下供应链韧性功能与生物机制匹配的差异化适应策略及非线性预测。","openalex","2026-09-26T23:30:07.569768Z",{"total":66,"page":21,"page_size":66,"items":110},[111,225,277,351,425,495],{"id":112,"title":113,"url":114,"summary":115,"summary_zh":116,"content":9,"source_name":10,"source_url":114,"published_at":117,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":118,"score_detail":119,"sources":124,"tags":126,"primary_topic":132,"secondary_topics":137,"classification":140,"search_phrases":198,"slug":201,"view_count":100,"doi":202,"paper":203,"created_at":224},5472,"Turning dirt into gold: the business case of soil carbon for agrarian pathways in arid climate","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1966265","Introduction Agricultural carbon sequestration offers considerable potential for mitigating anthropogenic climate change, particularly in the low-organic-carbon soils of the Middle East. This study presents a foundational scenario-based assessment of soil carbon sequestration and economic feasibility. Materials and methods Crop production and market datasets from Jordanian statistics (1998–2023) were used to estimate potential soil carbon sequestration and economic performance. Using benchmarks from literature in comparable agroecological regions, four soil carbon management practices were evaluated across multiple crops for their carbon storage potential using Monte Carlo uncertainty and sensitivity analysis. Sensitivity of economic performance was assessed under optimistic\u002Fpessimistic scenarios. Results Among the evaluated practices, the highest carbon sequestration rate was achieved through increased Soil Organic Carbon (SOC), reaching a maximum of 27.44 metric tons of CO₂ per hectare per year (tCO₂\u002Fha\u002Fyear) under the high scenario for cucumbers. In contrast, barley showed the highest sequestration rate at 0.45 tCO₂\u002Fha\u002Fyear under increased SOC in the high scenario. Sensitivity analysis showed that ±20% uncertainty in the management coefficients resulted in practice-specific changes of 1.11 tCO₂\u002Fha\u002Fyear for increased SOC and 0.46 tCO₂\u002Fha\u002Fyear for improved cropland management. Horticultural crops, particularly cucumbers and lemons, exhibited the highest sequestration rates and strongest responses to management interventions. Field crops such as wheat, barley, and olives demonstrated lower, more stable sequestration rates. Economic analysis revealed that cucumbers, grapes, potatoes, and Open-field farming (OFF) tomatoes achieved the highest tri-pillar performance (net and adjusted profits and break-even cost) alongside effective carbon sequestration. These findings highlight that crop choice is a primary determinant of both crop profitability and sequestrated carbon potential and feasibility, with significant implications for climate-smart agriculture, carbon credit mechanisms, and intensification strategies in data-scarce regions. Study limitations While empirical field validation remains a future priority, this model-based study provides a screening-level theoretical baseline to guide targeted research and investment in arid agricultural systems.","引言 农业碳封存为缓解人为气候变化提供了可观潜力，尤其是在中东低有机碳土壤中。本研究提出了一项基于情景的土壤碳封存与经济学可行性基础评估。材料与方法 利用约旦统计数据（1998—2023年）中的作物生产和市场数据集，估算潜在的土壤碳封存及经济表现。参考可比农业生态区域文献中的基准值，采用蒙特卡洛不确定性分析和敏感性分析，评估了四种土壤碳管理措施在多种作物上的碳储存潜力。在乐观\u002F悲观情景下评估了经济表现的敏感性。结果 在评估的各项措施中，通过增加土壤有机碳（SOC）实现的碳封存速率最高，在黄瓜的高情景下达到最高27.44公吨二氧化碳\u002F公顷\u002F年（tCO₂\u002Fha\u002Fyear）。相比之下，大麦在增加SOC的高情景下表现出最高的封存速率，为0.45 tCO₂\u002Fha\u002Fyear。敏感性分析表明，管理系数±20%的不确定性导致增加SOC和改善农田管理分别产生1.11 tCO₂\u002Fha\u002Fyear和0.46 tCO₂\u002Fha\u002Fyear的措施特异性变化。园艺作物，尤其是黄瓜和柠檬，表现出最高的封存速率和对管理干预的最强响应。小麦、大麦和橄榄等大田作物表现出较低但更稳定的封存速率。经济分析显示，黄瓜、葡萄、马铃薯和露地栽培（OFF）番茄在有效碳封存的同时实现了最高的三支柱表现（净利润、调整后利润和盈亏平衡成本）。这些发现突出表明，作物选择是作物盈利能力和封存碳潜力及可行性的主要决定因素，对气候智慧型农业、碳信用机制和数据稀缺地区的集约化策略具有重要意义。研究局限性 尽管田间实证验证仍是未来的优先事项，但这项基于模型的研究提供了筛选层面的理论基线，以指导干旱农业系统中的针对性研究和投资。","2026-10-20T00:00:00Z",70,{"impact":120,"substance":121,"depth":122,"authority":19,"freshness":20,"relevant":21,"comment":123},12,20,16,"基于约旦1998–2023年统计数据的模型情景研究，量化了不同作物固碳速率与经济收益，对干旱区农业碳汇与碳信用机制有参考价值，但属区域性模拟研究，尚未经田间验证。",[125],{"name":10,"url":114},[127,128,129,130,131],"气候智慧农业","碳交易","干旱农业","土壤碳汇","作物选择",{"code":133,"slug":134,"name":135,"path":136,"parent_code":36},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",[138,139],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"code":39,"slug":40,"name":41,"path":42,"parent_code":36},{"status":44,"locked":14,"version":45,"method":46,"evidence":141},{"candidates":142,"agricultural_evidence":50},[143,149,155,160,167,174,181,187,193],{"code":133,"score":144,"supported":50,"title":145,"abstract":146,"tags":148},14,[134],[147,134],"土壤",[],{"code":32,"score":13,"supported":50,"title":150,"abstract":151,"tags":154},[],[152,54,153],"气候变化","climate change",[127],{"code":39,"score":58,"supported":50,"title":156,"abstract":157,"tags":159},[],[62,158],"carbon sequestration",[130,128],{"code":161,"score":66,"supported":50,"title":162,"abstract":163,"tags":166},"A2",[],[164,165],"小麦","wheat",[],{"code":168,"score":66,"supported":50,"title":169,"abstract":170,"tags":173},"B1",[],[171,172],"番茄","黄瓜",[],{"code":175,"score":176,"supported":50,"title":177,"abstract":178,"tags":180},"A5",3,[],[179],"马铃薯",[],{"code":182,"score":176,"supported":50,"title":183,"abstract":184,"tags":186},"B2",[],[185],"葡萄",[],{"code":188,"score":176,"supported":50,"title":189,"abstract":190,"tags":192},"H6",[],[191],"农业生态",[],{"code":80,"score":176,"supported":50,"title":194,"abstract":195,"tags":197},[],[196],"smart agriculture",[],[199,200],"约旦 土壤碳汇 黄瓜","土壤固碳 经济可行性","约旦土壤碳汇黄瓜-5472","10.3389\u002Ffsufs.2026.1966265",{"doi":202,"openalex_id":204,"authors":205,"venue":10,"cited_by_count":100,"oa_url":114,"card":218,"direction":223,"ingested_from":107},"W7223064172",[206,208,210,213,215],{"name":207,"orcid":9},"Tasnim Althalaj",{"name":209,"orcid":9},"Ross. M. Thompson",{"name":211,"orcid":212},"Tala H. Qtaishat","https:\u002F\u002Forcid.org\u002F0000-0002-2700-6686",{"name":214,"orcid":9},"Dan Bumblauskas",{"name":216,"orcid":217},"Fayha Al-Shibli","https:\u002F\u002Forcid.org\u002F0000-0002-5628-0975",{"tldr":219,"method":220,"finding":221,"direction":105,"opportunity":222},"基于约旦1998–2023年数据，评估干旱区土壤固碳潜力与经济可行性。","用蒙特卡洛不确定性与敏感性分析，评估四种土壤碳管理措施在多作物下的表现。","黄瓜等园艺作物固碳率最高，作物选择是固碳与盈利的关键决定因素。","数据稀缺干旱区可结合田间验证与碳信用机制，研究作物级固碳经济激励设计。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:07.383006Z",{"id":226,"title":227,"url":228,"summary":229,"summary_zh":9,"content":9,"source_name":230,"source_url":9,"published_at":231,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":232,"score_detail":233,"sources":235,"tags":237,"primary_topic":239,"secondary_topics":240,"classification":241,"search_phrases":263,"slug":266,"view_count":267,"doi":9,"paper":268,"created_at":276},1819,"农业低碳转型视角下的数字农技服务体系：基于大晓智能无人农技服务平台的实证分析","https:\u002F\u002Fwww.cet.com.cn\u002Fitpd\u002Fitxw\u002F10537121.shtml","以上海大晓智能无人农技服务平台为研究载体，依托天-空-地-人-机多源感知体系与农业垂直大模型底层架构，系统梳理平台助力农业降碳、土壤碳平衡测算的技术路径与分层服务模式。结合大田生产、农场管理多场景实证数据量化分析平台减污降碳成效，数字农技服务平台构建起\"监测—测算—决策—减排\"闭环管理模式，既能为各地县域、规模化种植基地打造数字化低碳农业提供落地参考，也能够丰富农业碳循环与智慧农业交叉学科的实证研究样本。","中国经济新闻网2026年9月","2026-09-04T00:00:00Z",72,{"impact":17,"substance":121,"depth":17,"authority":13,"freshness":66,"relevant":21,"comment":234},"实证分析数字农技平台减碳成效，具行业参考价值。",[236],{"name":230,"url":228},[26,28,238,30],"数字农技",{"code":39,"slug":40,"name":41,"path":42,"parent_code":36},[],{"status":44,"locked":14,"version":45,"method":46,"evidence":242},{"candidates":243,"agricultural_evidence":50},[244,249,254,258],{"code":39,"score":245,"supported":50,"title":246,"abstract":247,"tags":248},5,[],[62],[28,30],{"code":80,"score":250,"supported":50,"title":251,"abstract":252,"tags":253},4,[],[26],[26],{"code":133,"score":176,"supported":50,"title":255,"abstract":256,"tags":257},[],[147],[],{"code":73,"score":176,"supported":50,"title":259,"abstract":260,"tags":262},[],[261],"大模型",[],[264,265],"低碳农业 农业碳汇 数字农技 智慧农业","低碳农业 农业碳汇","低碳农业农业碳汇数字农技智慧农业-1819",2,{"doi":9,"openalex_id":9,"authors":269,"venue":9,"cited_by_count":100,"oa_url":9,"card":270,"direction":105,"ingested_from":275},[],{"tldr":271,"method":272,"finding":273,"direction":105,"opportunity":274},"实证分析数字农技服务平台如何通过多源感知与垂直大模型助力农业降碳，构建闭环管理模式。","依托天-空-地-人-机多源感知体系与农业垂直大模型，结合多场景实证数据量化分析。","平台构建“监测—测算—决策—减排”闭环，有效减污降碳，提供落地参考。","可延伸研究数字农技服务在不同作物、区域下的碳减排差异，以及平台模式与农户采纳行为的耦合机制。","agent","2026-09-07T00:04:41.769592Z",{"id":278,"title":279,"url":280,"summary":281,"summary_zh":282,"content":9,"source_name":283,"source_url":280,"published_at":117,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":118,"score_detail":284,"sources":287,"tags":289,"primary_topic":293,"secondary_topics":294,"classification":295,"search_phrases":332,"slug":335,"view_count":100,"doi":336,"paper":337,"created_at":350},5476,"Digital Transformation of Haryana Agriculture: Strengthening Climate Resilience and Advancing the Sustainable Development Goals","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23491288","Climate change has surfaced as one of the most pivotal challenges confronting the agricultural sector, especially in agrarian regions vulnerable to resource degradation, water scarcity, and climate uncertainties. Haryana, a leading agricultural state in India, has faced significant environmental pressures in recent years, including declining groundwater levels, erratic rainfall patterns, rising temperatures, and soil degradation, necessitating the adoption of climate-resilient agricultural strategies. Against this backdrop, Information and Communication Technology has gained considerable importance as a transformative mechanism for strengthening agricultural sustainability, adaptive capacity, and informed decision-making among farmers. ICT-enabled interventions such as mobile-based advisory services, precision farming technologies, digital marketplaces, weather forecasting systems, remote sensing, and various e-governance platforms have increasingly contributed to improving agricultural efficiency and resilience. The present study aims to evaluate the role of ICT-enabled agricultural practices in Haryana and their contribution to climate resilience and to achieve the Sustainable Development Goals. This study applies a descriptive and analytical approach, drawing on secondary data and narrative review methodology. The study utilizes secondary data from government reports, policy documents, research articles, institutional publications, and international development reports on digital agriculture, climate change, and sustainable development, published between 2016 and 2026. The findings indicate that ICT-based agricultural innovations have substantially enhanced access to climate information, improved resource-use efficiency, increased market connectivity, and enabled adaptive agricultural management practices. Furthermore, ICT interventions have significant potential to support SDG 2: Zero Hunger, SDG 9: Industry, Innovation and Infrastructure, and SDG 13: Climate Action. However, challenges such as digital illiteracy, infrastructural disparities, limited technological accessibility among smallholders, and inadequate institutional support continue to hinder widespread adoption. The study emphasizes the need for inclusive digital policies, strengthened rural ICT infrastructure, farmer-centric skill development, and integrated climate-smart agricultural frameworks to facilitate sustainable, resilient agricultural development in Haryana.","气候变化已成为农业部门面临的最关键挑战之一，在易受资源退化、水资源短缺和气候不确定性影响的农业区域尤为如此。哈里亚纳邦是印度领先的农业邦，近年来面临显著的环境压力，包括地下水位下降、降雨模式不稳定、气温上升和土壤退化，因而亟需采取气候韧性农业策略。在此背景下，信息与通信技术（ICT）作为增强农业可持续性、适应能力以及农民知情决策的变革性机制，其重要性日益凸显。基于ICT的干预措施，如移动端咨询服务、精准农业技术、数字市场、天气预报系统、遥感以及各类电子治理平台，已日益为提升农业效率和韧性作出贡献。本研究旨在评估哈里亚纳邦基于ICT的农业实践所发挥的作用及其对气候韧性和实现可持续发展目标的贡献。本研究采用描述性与分析性方法，依托二手数据和叙述性综述方法。研究使用的二手数据来源于2016年至2026年间发布的政府报告、政策文件、研究论文、机构出版物以及关于数字农业、气候变化和可持续发展的国际发展报告。研究结果表明，基于ICT的农业创新大幅提升了气候信息的获取能力，改善了资源利用效率，增强了市场连通性，并促成了适应性农业管理实践。此外，ICT干预措施在支持可持续发展目标2：零饥饿、目标9：产业、创新和基础设施以及目标13：气候行动方面具有显著潜力。然而，数字文盲、基础设施差距、小农户技术可及性有限以及机构支持不足等挑战仍阻碍其广泛采用。研究强调，需要制定包容性数字政策、加强农村ICT基础设施、开展以农民为中心的技能培养以及构建综合气候智慧型农业框架，以促进哈里亚纳邦可持续且具有韧性的农业发展。","Zenodo (CERN European Organization for Nuclear Research)",{"impact":122,"substance":17,"depth":285,"authority":120,"freshness":20,"relevant":21,"comment":286},15,"基于二手数据的综述性研究，系统梳理印度哈里亚纳邦ICT农业与气候韧性、SDGs的关系，结论可靠但方法新颖性一般，对国内智慧农业与气候适应有参考价值。",[288],{"name":283,"url":280},[290,26,291,29,292],"数字农业","可持续发展","农业ICT",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":44,"locked":14,"version":45,"method":46,"evidence":296},{"candidates":297,"agricultural_evidence":50},[298,303,310,314,321,327],{"code":32,"score":17,"supported":50,"title":299,"abstract":301,"tags":302},[300],"climate resilience",[152,153,300],[29],{"code":80,"score":304,"supported":50,"title":305,"abstract":306,"tags":309},11,[],[307,290,308],"精准农业","digital agriculture",[290,26],{"code":133,"score":66,"supported":50,"title":311,"abstract":312,"tags":313},[],[147,134],[],{"code":315,"score":66,"supported":50,"title":316,"abstract":317,"tags":320},"I3",[],[318,319],"遥感","remote sensing",[],{"code":322,"score":176,"supported":50,"title":323,"abstract":324,"tags":326},"G2",[],[325],"小农户",[],{"code":65,"score":176,"supported":50,"title":328,"abstract":329,"tags":331},[],[330],"水资源",[],[333,334],"Haryana 数字化转型","ICT 气候韧性","Haryana数字化转型-5476","10.5281\u002Fzenodo.23491288",{"doi":336,"openalex_id":338,"authors":339,"venue":283,"cited_by_count":100,"oa_url":280,"card":344,"direction":223,"ingested_from":107},"W7223011965",[340,342],{"name":341,"orcid":9},"Himani Rathi",{"name":343,"orcid":9},"Pardeep Kumar Duhan",{"tldr":345,"method":346,"finding":347,"direction":348,"opportunity":349},"评估印度哈里亚纳邦ICT农业实践对气候韧性与可持续发展目标的贡献。","描述性与分析性方法，基于2016-2026年政府报告等二手数据与叙事综述。","ICT显著提升气候信息获取、资源效率与市场连接，助力SDG 2\u002F9\u002F13，但数字素养与基础设施不足制","数字乡村与农业信息化","可研究小农户数字素养与ICT采纳门槛的实证机制，及包容性数字政策在气候智慧农业中的落地路径。","2026-10-21T23:30:08.814085Z",{"id":352,"title":353,"url":354,"summary":355,"summary_zh":356,"content":9,"source_name":357,"source_url":354,"published_at":358,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":359,"score_detail":360,"sources":363,"tags":365,"primary_topic":368,"secondary_topics":374,"classification":382,"search_phrases":406,"slug":409,"view_count":21,"doi":410,"paper":411,"created_at":424},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":17,"substance":121,"depth":361,"authority":19,"freshness":20,"relevant":21,"comment":362},17,"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。",[364],{"name":357,"url":354},[26,27,366,307,367],"粮食安全","地缘政治",{"code":369,"slug":370,"name":371,"path":372,"parent_code":373},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[375,376],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"code":377,"slug":378,"name":379,"path":380,"parent_code":381},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",{"status":44,"locked":14,"version":45,"method":46,"evidence":383},{"candidates":384,"agricultural_evidence":50},[385,390,395,399],{"code":369,"score":285,"supported":50,"title":386,"abstract":388,"tags":389},[387],"food security",[366,387],[366],{"code":80,"score":304,"supported":50,"title":391,"abstract":392,"tags":394},[],[26,307,393],"precision agriculture",[26,307],{"code":32,"score":20,"supported":50,"title":396,"abstract":397,"tags":398},[],[152,54,153],[],{"code":377,"score":20,"supported":50,"title":400,"abstract":401,"tags":405},[],[402,403,404],"物联网","internet of things","IoT",[],[407,408],"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":410,"openalex_id":412,"authors":413,"venue":357,"cited_by_count":100,"oa_url":354,"card":419,"direction":223,"ingested_from":107},"W7222902031",[414,416],{"name":415,"orcid":9},"Parameswaran Mahendran",{"name":417,"orcid":418},"Wong Sing Yun","https:\u002F\u002Forcid.org\u002F0000-0001-5776-8852",{"tldr":420,"method":421,"finding":422,"direction":223,"opportunity":423},"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。","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":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":444,"search_phrases":468,"slug":471,"view_count":176,"doi":472,"paper":473,"created_at":494},4219,"Cognitive Causal Modeling of Blockchain Adoption in Agri-Food Supply Chains: A Fuzzy-DEMATEL Approach","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12559-026-10660-0","Background \u002F Introduction: Blockchain can improve agri-food supply-chain transparency, but adoption decisions are cognitively complex because managers judge interdependent criteria under uncertainty. This study frames adoption as cognitive causal decision modeling, aligning with cognitive computation through expert judgment, linguistic uncertainty, causal reasoning, and explainable decision support. Methods: We applied Fuzzy Decision-Making Trial and Evaluation Laboratory (Fuzzy-DEMATEL) to judgments from 20 experts. Eight technology-adoption criteria were modeled using triangular fuzzy numbers, and an impact relationship map was used to classify criteria by outgoing influence (R), incoming influence (C), prominence (R + C), and net causality (R − C). Results: Smart Contracts showed the strongest net causal influence (R = 3.46; R − C = + 0.78). Food Traceability was the most prominent criterion (R + C = 6.40) and the most influenced by other criteria (C = 3.17). Smart Contracts, Payment Transactions, Food Traceability, Fraud Prevention, and Secure Storage were net causes, whereas Food Waste Prevention, Carbon Emission Detection, and Power Consumption were net effects. Sensitivity analysis confirmed a stable cause\u002Feffect partition across threshold and prominence-cutoff variation, with Fraud Prevention the only criterion whose sign reverses at the lower fuzzy bound. Payment Transactions and Secure Storage sit close to the core-driving boundary. Conclusions: The findings support an explainable prioritization logic: transactional and information-security capabilities should be addressed before downstream sustainability outcomes. Because the evidence is expert-elicited rather than longitudinal field performance data, the results should be interpreted as structured decision-support guidance.","背景\u002F引言：区块链可以提高农业食品供应链的透明度，但其采纳决策在认知上较为复杂，因为管理者需要在不确定性下判断相互依赖的标准。本研究将采纳行为界定为认知因果决策建模，通过专家判断、语言不确定性、因果推理和可解释决策支持与认知计算相契合。方法：我们采用模糊决策试验与评价实验室方法（Fuzzy Decision-Making Trial and Evaluation Laboratory，Fuzzy-DEMATEL）对20位专家的判断进行分析。使用三角模糊数对八项技术采纳标准进行建模，并利用影响关系图按输出影响（R）、输入影响（C）、中心度（R + C）和净因果性（R − C）对标准进行分类。结果：智能合约表现出最强的净因果影响（R = 3.46；R − C = + 0.78）。食品追溯是最突出的标准（R + C = 6.40），也是受其他标准影响最大的标准（C = 3.17）。智能合约、支付交易、食品追溯、欺诈预防和安全存储为净原因，而食品浪费预防、碳排放检测和电力消耗为净结果。敏感性分析证实，在阈值和中心度截断值变化下，原因\u002F结果划分保持稳定，欺诈预防是唯一在较低模糊边界下符号发生反转的标准。支付交易和安全存储接近核心驱动边界。结论：研究结果支持一种可解释的优先排序逻辑：交易和信息安全能力应先于下游可持续性结果加以处理。由于证据来自专家 elicitation 而非纵向实地绩效数据，结果应被解释为结构化的决策支持指导。","Cognitive Computation","2026-10-02T00:00:00Z",71,{"impact":120,"substance":121,"depth":361,"authority":144,"freshness":58,"relevant":21,"comment":435},"核心期刊论文，用模糊DEMATEL方法对20位专家判断建模，识别智能合约与食品溯源为区块链采纳的关键驱动因素，方法新颖、结论有决策参考价值，但属专家主观判断而非实地数据，产业影响偏细分领域。",[437],{"name":431,"url":428},[26,27,439,440,441],"农产品溯源","区块链","决策支持",{"code":39,"slug":40,"name":41,"path":42,"parent_code":36},[],{"status":44,"locked":14,"version":45,"method":46,"evidence":445},{"candidates":446,"agricultural_evidence":50},[447,453,459,464],{"code":39,"score":66,"supported":50,"title":448,"abstract":449,"tags":452},[],[450,451],"碳排放","carbon emission",[],{"code":454,"score":250,"supported":50,"title":455,"abstract":456,"tags":458},"E4",[],[457],"food traceability",[439],{"code":73,"score":250,"supported":50,"title":460,"abstract":461,"tags":463},[],[462],"decision support",[441],{"code":80,"score":21,"supported":14,"title":465,"abstract":466,"tags":467},[],[],[26],[469,470],"区块链 农产品供应链 溯源","Fuzzy-DEMATEL 区块链","区块链农产品供应链溯源-4219","10.1007\u002Fs12559-026-10660-0",{"doi":472,"openalex_id":474,"authors":475,"venue":431,"cited_by_count":100,"oa_url":487,"card":488,"direction":223,"ingested_from":107},"W7216251074",[476,479,482,485],{"name":477,"orcid":478},"Ali Ala","https:\u002F\u002Forcid.org\u002F0000-0003-4552-4732",{"name":480,"orcid":481},"Behnam Malmir","https:\u002F\u002Forcid.org\u002F0000-0003-1771-9751",{"name":483,"orcid":484},"Hamed Baziyad","https:\u002F\u002Forcid.org\u002F0000-0002-5770-7766",{"name":486,"orcid":9},"Vladimir Simic","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs12559-026-10660-0.pdf",{"tldr":489,"method":490,"finding":491,"direction":492,"opportunity":493},"用模糊DEMATEL对20位专家判断建模，分析农业食品供应链区块链采纳的因果优先级。","模糊DEMATEL、三角模糊数、20位专家判断、敏感性分析","智能合约净因果影响最强，食品溯源最突出；交易与信息安全能力应先于可持续性结果。","农业人工智能与决策模型","可结合纵向田间绩效数据验证专家因果结论，并研究交易安全能力向碳减排等可持续结果的传导机制。","2026-10-05T23:30:12.085269Z",{"id":496,"title":497,"url":498,"summary":499,"summary_zh":500,"content":9,"source_name":501,"source_url":498,"published_at":502,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":503,"score_detail":504,"sources":508,"tags":510,"primary_topic":514,"secondary_topics":515,"classification":521,"search_phrases":565,"slug":568,"view_count":267,"doi":569,"paper":570,"created_at":582},2648,"Horticulture-Voltaic: The Earth's Solar Horticulture Turns Every Ray into Food and Power - A Comprehensive Review","https:\u002F\u002Fdoi.org\u002F10.25125\u002Fijoear-sep-2026-8","Horticulture-voltaic systems - the co-location of photovoltaic (PV) electricity generation with horticultural crop production on the same land - are emerging as a central strategy for climate-resilient horticulture. This in-depth review examines the technology, engineering, intercultural operations and empirical evidence for horticulture-voltaics applied to fruit, vegetable and flower crops. We cover solar panel technologies, system architectures, the full design-component and engineering stack (mounting heights of 2.5-5 m, panel spacing and tilt, deep-buried armoured cables, structural safety under ASCE-7-16 wind loads, smart irrigation integration), the electrical architecture (module\u002Fstring voltage, inverter, battery, transformer, grid connection), and intercultural operations adapted for sub-array horticulture. Empirical evidence shows that shade relieves heat and drought stress, with grape +277% (Mediterranean, LER 3.54), tomato and chiltepin doubled or tripled (Arizona), and partial shade increasing floral abundance in flowers. Shading must stay below ~30% for fruit crops and 20-40% for most vegetables and flower crops. With continued research and engineering, horticulture-voltaics can deliver climate-adaptive, resource-efficient and energy-positive horticultural systems.","园艺光伏系统——在同一土地上将光伏（PV）发电与园艺作物生产相结合——正逐渐成为气候适应性园艺的核心策略。这篇深度综述考察了园艺光伏应用于水果、蔬菜和花卉作物的技术、工程、行间作业及实证证据。我们涵盖太阳能电池板技术、系统架构、完整的设计-组件与工程体系（安装高度2.5-5米、板间距与倾角、深埋铠装电缆、ASCE-7-16风荷载下的结构安全、智能灌溉集成）、电气架构（组件\u002F组串电压、逆变器、电池、变压器、电网连接），以及针对子阵列园艺适配的行间作业。实证证据表明，遮阴可缓解高温和干旱胁迫，葡萄增产+277%（地中海地区，LER 3.54），番茄和野生辣椒产量翻倍或增至三倍（亚利桑那州），部分遮阴增加了花卉的花量。水果作物的遮阴率须保持在约30%以下，大多数蔬菜和花卉作物为20-40%。通过持续的研究与工程实践，园艺光伏能够提供气候适应性、资源高效且能量正输出的园艺系统。","International Journal of Environmental and Agriculture Research","2026-09-15T00:00:00Z",85,{"impact":18,"substance":505,"depth":506,"authority":19,"freshness":58,"relevant":21,"comment":507},23,19,"系统综述农光互补园艺的技术架构与实证数据，提出遮光阈值等可操作结论，对设施农业与新能源融合具参考价值。",[509],{"name":501,"url":498},[26,29,511,512,513],"农光互补","设施园艺","光伏农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[516],{"code":168,"slug":517,"name":518,"path":519,"parent_code":520},"vegetables","蔬菜","\u002Ftopic\u002Fhorticulture\u002Fvegetables","B",{"status":44,"locked":14,"version":45,"method":46,"evidence":522},{"candidates":523,"agricultural_evidence":50},[524,528,535,540,544,550,556,561],{"code":32,"score":13,"supported":50,"title":525,"abstract":526,"tags":527},[],[53,54,55],[29],{"code":168,"score":20,"supported":50,"title":529,"abstract":530,"tags":534},[],[518,171,531,532,533],"辣椒","vegetable","tomato",[],{"code":182,"score":66,"supported":50,"title":536,"abstract":537,"tags":539},[],[185,538],"grape",[],{"code":65,"score":66,"supported":50,"title":541,"abstract":542,"tags":543},[],[69,70],[],{"code":545,"score":176,"supported":50,"title":546,"abstract":547,"tags":549},"A7",[],[548],"间作",[],{"code":551,"score":176,"supported":50,"title":552,"abstract":553,"tags":555},"B4",[],[554],"花卉",[],{"code":557,"score":267,"supported":14,"title":558,"abstract":559,"tags":560},"B7",[],[],[513,512],{"code":80,"score":21,"supported":14,"title":562,"abstract":563,"tags":564},[],[],[26],[566,567],"光伏农业 农光互补 智慧农业 气候韧性","光伏农业 农光互补","光伏农业农光互补智慧农业气候韧性-2648","10.25125\u002Fijoear-sep-2026-8",{"doi":569,"openalex_id":571,"authors":572,"venue":501,"cited_by_count":100,"oa_url":576,"card":577,"direction":223,"ingested_from":107},"W7213346284",[573],{"name":574,"orcid":575},"Jadala Shankaraswamy","https:\u002F\u002Forcid.org\u002F0000-0002-5623-6384","https:\u002F\u002Fijoear.com\u002Fassets\u002Farticles_menuscripts\u002Ffile\u002FIJOEAR-SEP-2026-8.pdf",{"tldr":578,"method":579,"finding":580,"direction":105,"opportunity":581},"综述园艺光伏系统，即同一土地上光伏发电与园艺作物共址，涵盖技术、工程与实证。","综述光伏技术、系统架构、工程设计与间作操作，汇总多地实证数据。","适度遮阴缓解热旱胁迫，葡萄增产277%，番茄等倍增，遮阴需低于30%。","可探索不同气候区园艺光伏最优遮阴阈值与作物-光伏协同设计模型。","2026-09-16T23:30:12.350469Z"]