[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2632":3,"related-2632":105},{"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":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":80,"slug":83,"view_count":54,"doi":84,"paper":85,"created_at":104},2632,"AquaCrop modelling with frost risk in Southern Africa for bambara groundnut suitability and optimal planting dates","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1829034","Bambara groundnut ( Vigna subterranea ) is a resilient indigenous African legume with potential for improving food and nutrition security in semi-arid environments. However, conventional land suitability assessments often rely on static climatic averages, which fail to capture the dynamic interactions between climate variability and crop phenology. This study proposes a novel, process-based framework that integrates the AquaCrop simulation model with a custom frost-trigger algorithm to map land suitability and optimal planting dates across 5,838 altitude zones in Southern Africa. By simulating crop growth dynamics over 49 consecutive seasons, the framework explicitly accounts for inter-seasonal variability and extreme events, specifically frost and water stress, that are typically overlooked in conventional assessments. A sequential filtering procedure was applied to exclude unsuitable areas based on seasonal rainfall thresholds, risk of crop failure, and variability in water productivity. Findings indicate that October is the most favourable planting month, as later sowings face increased yield reductions due to potential frost risk. Accounting for frost occurrence reduced suitable growing areas by 28%, with refined land-use filtering further reducing viable area by 20%. These results highlight the critical role of dynamic environmental stressors in accurately assessing crop suitability. Ultimately, this framework provides a scalable tool for climate-smart agricultural planning, offering a more robust approach to identifying viable production zones for resilient underutilised crops.","班巴拉花生（Vigna subterranea）是一种具有韧性的非洲本土豆科作物，在改善半干旱环境的粮食和营养安全方面具有潜力。然而，传统的土地适宜性评估往往依赖静态气候平均值，无法捕捉气候变率与作物物候之间的动态相互作用。本研究提出了一种新颖的基于过程的框架，将AquaCrop模拟模型与自定义霜冻触发算法相结合，以绘制南部非洲5，838个海拔区域的土地适宜性和最佳播种日期。通过在连续49个生长季中模拟作物生长动态，该框架明确考虑了传统评估中通常被忽视的季节间变率和极端事件，特别是霜冻和水分胁迫。研究采用序贯筛选程序，基于季节性降雨阈值、作物歉收风险和水生产力变异性排除不适宜区域。研究结果表明，10月是最有利的播种月份，较晚播种因潜在霜冻风险而面临更大的产量损失。考虑霜冻发生使适宜种植面积减少了28%，进一步的土地利用精细化筛选又使可行面积减少了20%。这些结果凸显了动态环境胁迫因素在准确评估作物适宜性中的关键作用。最终，该框架为气候智慧型农业规划提供了一种可扩展的工具，为确定具有韧性的未充分利用作物的可行生产区提供了更为稳健的方法。",null,"Frontiers in Sustainable Food Systems","2026-09-15T00:00:00Z","论文",10,false,78,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,22,18,13,9,1,"该研究将AquaCrop模型与霜冻风险算法结合，在南部非洲5838个海拔带模拟49季作物生长，方法新颖、数据规模大，对气候智慧型农业规划有参考价值，但区域聚焦非洲，国内影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"智慧农业","非洲农业","气候智慧型农业","作物模型","种植适宜性",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",[],{"status":40,"locked":14,"version":41,"method":42,"evidence":43},"classified","2026-10-22.2","rules",{"candidates":44,"agricultural_evidence":47},[45,52,59,65,70,75],{"code":33,"score":46,"supported":47,"title":48,"abstract":49,"tags":51},4,true,[],[50],"干旱",[29],{"code":53,"score":54,"supported":47,"title":55,"abstract":56,"tags":58},"A4",3,[],[57],"花生",[],{"code":60,"score":54,"supported":47,"title":61,"abstract":62,"tags":64},"J1",[],[63],"农业规划",[],{"code":66,"score":22,"supported":14,"title":67,"abstract":68,"tags":69},"I1",[],[],[27],{"code":71,"score":22,"supported":14,"title":72,"abstract":73,"tags":74},"I2",[],[],[30],{"code":76,"score":22,"supported":14,"title":77,"abstract":78,"tags":79},"J3",[],[],[28],[81,82],"气候智慧型农业 种植适宜性 作物模型 智慧农业","气候智慧型农业 种植适宜性","气候智慧型农业种植适宜性作物模型智慧农业-2632","10.3389\u002Ffsufs.2026.1829034",{"doi":84,"openalex_id":86,"authors":87,"venue":10,"cited_by_count":95,"oa_url":96,"card":97,"direction":101,"ingested_from":103},"W7213270406",[88,90,92],{"name":89,"orcid":9},"Simon Lake",{"name":91,"orcid":9},"Richard Kunz",{"name":93,"orcid":94},"Tafadzwanashe Mabhaudhi","https:\u002F\u002Forcid.org\u002F0000-0002-9323-8127",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1829034\u002Fpdf",{"tldr":98,"method":99,"finding":100,"direction":101,"opportunity":102},"用AquaCrop结合霜冻算法评估南部非洲班巴拉花生适宜性与最佳播期。","AquaCrop作物模型+霜冻触发算法，模拟49季5838个海拔带。","10月最适播种，考虑霜冻使适宜区减少28%，土地利用过滤再减20%。","农业人工智能与决策模型","可将该动态胁迫框架迁移到其他未充分利用作物或区域，并耦合未来气候情景。","openalex","2026-09-16T23:30:08.115404Z",{"total":106,"page":22,"page_size":106,"items":107},6,[108,214,314,375,440,513],{"id":109,"title":110,"url":111,"summary":112,"summary_zh":113,"content":9,"source_name":114,"source_url":111,"published_at":115,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":116,"score_detail":117,"sources":121,"tags":123,"primary_topic":127,"secondary_topics":132,"classification":134,"search_phrases":177,"slug":180,"view_count":181,"doi":182,"paper":183,"created_at":213},3878,"Climate Change and Sustainable Maize Production: Risks, Response and Resilience Pathways","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fagriculture16192123","Climate change significantly threatens maize (Zea mays L.) production through rising temperatures, erratic precipitation, and extreme weather events, thereby jeopardising global food security. This review synthesises current knowledge on the impacts of climate change, abiotic stresses, crop simulation models, and adaptation strategies for maize. A bibliometric analysis of 485 articles published between 2015 and 2025 and indexed in the Web of Science was conducted using VOSviewer. The results showed a significant increase in publications (Mann–Kendall test, p = 0.0001; R2 = 0.8207), with dominant research themes shifting toward climate-smart agriculture and sustainable intensification. Heat stress, drought, and nutrient deficiencies were identified as the primary abiotic constraints. DSSAT-CERES-Maize and APSIM emerged as the most widely used models for assessing climate impacts and the effectiveness of adaptation strategies. Effective adaptation measures include the use of resilient varieties, optimised water management, conservation agriculture, and diversified cropping systems. Future research should focus on integrated adaptation approaches, improved model validation, and long-term field studies to enhance maize resilience. This study provides a comprehensive overview of the research landscape and highlights critical pathways for ensuring sustainable maize production under changing climate scenarios.","气候变化通过气温升高、降水异常和极端天气事件，严重威胁玉米（Zea mays L.）生产，进而危及全球粮食安全。本文综述了气候变化影响、非生物胁迫、作物模拟模型及玉米适应策略的现有知识。利用VOSviewer对2015至2025年间Web of Science收录的485篇文献进行了文献计量分析。结果表明，发文量显著增加（Mann–Kendall检验，p = 0.0001；R2 = 0.8207），主导研究主题转向气候智慧型农业和可持续集约化。热胁迫、干旱和养分缺乏被确定为主要的非生物限制因素。DSSAT-CERES-Maize和APSIM是评估气候影响及适应策略效果最广泛使用的模型。有效的适应措施包括使用抗逆品种、优化水分管理、保护性农业和多样化种植制度。未来研究应聚焦于综合适应方法、改进模型验证和长期田间试验，以增强玉米的恢复力。本研究全面概述了该领域的研究格局，并指出了在气候变化情景下确保玉米可持续生产的关键路径。","Agriculture","2026-09-30T00:00:00Z",80,{"impact":19,"substance":18,"depth":19,"authority":118,"freshness":119,"relevant":22,"comment":120},14,8,"基于485篇文献的计量综述，系统梳理气候变化下玉米生产的风险与适应路径，方法规范、结论可靠，对农业科技与智慧农业领域有较高参考价值。",[122],{"name":114,"url":111},[27,124,125,30,126],"玉米","气候变化","适应策略",{"code":128,"slug":129,"name":124,"path":130,"parent_code":131},"A3","maize","\u002Ftopic\u002Ffield-crops\u002Fmaize","A",[133],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":135},{"candidates":136,"agricultural_evidence":47},[137,143,148,155,162,167,173],{"code":33,"score":19,"supported":47,"title":138,"abstract":140,"tags":142},[139],"climate change",[125,50,139,141],"drought",[125],{"code":128,"score":144,"supported":47,"title":145,"abstract":146,"tags":147},15,[129],[124,129],[124],{"code":149,"score":106,"supported":47,"title":150,"abstract":151,"tags":154},"A8",[],[152,153],"粮食安全","food security",[],{"code":156,"score":106,"supported":47,"title":157,"abstract":158,"tags":161},"I7",[],[159,160],"文献计量","bibliometric",[],{"code":66,"score":46,"supported":47,"title":163,"abstract":164,"tags":166},[],[165],"smart agriculture",[27],{"code":168,"score":54,"supported":47,"title":169,"abstract":170,"tags":172},"H8",[],[171],"conservation agriculture",[],{"code":71,"score":22,"supported":14,"title":174,"abstract":175,"tags":176},[],[],[30],[178,179],"玉米 气候变化 适应策略","DSSAT APSIM 玉米","玉米气候变化适应策略-3878",2,"10.3390\u002Fagriculture16192123",{"doi":182,"openalex_id":184,"authors":185,"venue":114,"cited_by_count":95,"oa_url":111,"card":206,"direction":212,"ingested_from":103},"W7214894179",[186,189,192,194,197,200,203],{"name":187,"orcid":188},"Magdoline Mustafa Ahmed Osman","https:\u002F\u002Forcid.org\u002F0009-0003-5743-9161",{"name":190,"orcid":191},"Ronald Kuunya","https:\u002F\u002Forcid.org\u002F0009-0007-3502-0297",{"name":193,"orcid":9},"Erastus Wasikoyo",{"name":195,"orcid":196},"András Tamás","https:\u002F\u002Forcid.org\u002F0000-0001-8175-3300",{"name":198,"orcid":199},"Árpád Illés","https:\u002F\u002Forcid.org\u002F0000-0001-6548-2926",{"name":201,"orcid":202},"Adrienn Széles","https:\u002F\u002Forcid.org\u002F0000-0003-4101-3177",{"name":204,"orcid":205},"Tamás Rátonyi","https:\u002F\u002Forcid.org\u002F0000-0001-9436-5446",{"tldr":207,"method":208,"finding":209,"direction":210,"opportunity":211},"综述气候变化对玉米生产的影响，通过文献计量分析揭示研究趋势与适应策略。","文献计量分析485篇文献，使用VOSviewer和DSSAT、APSIM模型。","热胁迫、干旱和营养缺乏是主要限制，气候智慧型农业和可持续集约化成为研究热点。","农业绿色发展与碳","可探索综合适应策略的长期田间验证及模型改进，以增强玉米气候韧性。","智慧农业 \u002F 农业物联网","2026-10-01T23:30:09.232711Z",{"id":215,"title":216,"url":217,"summary":218,"summary_zh":219,"content":9,"source_name":220,"source_url":217,"published_at":221,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":222,"score_detail":223,"sources":227,"tags":229,"primary_topic":232,"secondary_topics":236,"classification":242,"search_phrases":297,"slug":300,"view_count":301,"doi":302,"paper":303,"created_at":313},3156,"Climate Adaptation and Sustainable Agriculture in Africa: Strategies for Food Security","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijgem.vol.11.no2.2025.pg8.32","This study investigates the role of Climate-Smart Agriculture (CSA) and agroecology in enhancing agricultural resilience and food security in the face of climate change in Africa. Through a comprehensive review of existing literature, case studies, and policy frameworks, the research explores how these adaptive strategies are being implemented across the continent and assesses their effectiveness. The findings reveal that while CSA techniques—such as droughtresistant crop varieties, water-efficient irrigation, and soil management practices—offer tangible benefits to agricultural productivity and resilience, their widespread adoption remains constrained by limited access to finance, inadequate infrastructure, and insufficient extension services. Similarly, agroecological approaches, including crop diversification, agroforestry, and organic farming, have proven successful in fostering sustainable agricultural practices and enhancing biodiversity, yet face significant challenges from prevailing agricultural policies and institutional frameworks that favor large-scale industrial agriculture. The study recommends scaling up the adoption of CSA and agroecology by improving access to financing, technology, and farmer training programs. It also advocates for policy reforms that support agroecological practices and climate adaptation, as well as increased investment in research and development. Additionally, fostering multi-stakeholder collaborations, including public-private partnerships, is critical to overcoming institutional barriers and ensuring the effective implementation of climate adaptation strategies. The conclusion underscores the need for integrated policy frameworks that combine the strengths of CSA and agroecology to build a resilient, sustainable, and food-secure agricultural sector in Africa. By addressing both environmental and socioeconomic challenges, these strategies can significantly contribute to combating the impacts of climate change on African agriculture, ensuring long-term food security and sustainable development.","本研究探讨了气候智能型农业（Climate-Smart Agriculture, CSA）和农业生态学在增强非洲农业应对气候变化韧性和粮食安全方面的作用。通过系统梳理现有文献、案例研究和政策框架，本研究考察了这些适应性策略在非洲大陆的实施情况并评估其有效性。研究发现，尽管气候智能型农业技术——如抗旱作物品种、节水灌溉和土壤管理措施——对提高农业生产力和韧性具有切实效益，但其广泛采用仍受限于融资渠道有限、基础设施不足和推广服务欠缺。同样，农业生态学方法，包括作物多样化、农林业和有机农业，已被证明在促进可持续农业实践和增强生物多样性方面卓有成效，但仍面临来自有利于大规模工业化农业的现行农业政策和制度框架的重大挑战。本研究建议通过改善融资渠道、技术获取和农民培训项目来扩大气候智能型农业和农业生态学的采用。研究还倡导支持农业生态实践和气候适应的政策改革，以及增加研发投入。此外，促进多方利益相关者合作，包括公私合作伙伴关系，对于克服制度障碍和确保气候适应策略的有效实施至关重要。结论强调，需要建立综合性政策框架，将气候智能型农业和农业生态学的优势相结合，以在非洲构建具有韧性、可持续且粮食安全的农业部门。通过同时应对环境和社会经济挑战，这些策略能够为抵御气候变化对非洲农业的影响、确保长期粮食安全和可持续发展作出重大贡献。","IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT","2026-09-21T00:00:00Z",76,{"impact":19,"substance":224,"depth":225,"authority":20,"freshness":119,"relevant":22,"comment":226},20,17,"系统综述非洲气候智慧型农业与生态农业的适应策略及政策障碍，结论可靠但属文献综述，非突破性成果。",[228],{"name":220,"url":217},[152,28,29,230,231],"农业适应","生态农业",{"code":149,"slug":233,"name":234,"path":235,"parent_code":131},"yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security",[237,241],{"code":168,"slug":238,"name":239,"path":240,"parent_code":37},"sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":243},{"candidates":244,"agricultural_evidence":47},[245,249,256,261,270,277,284,288,292],{"code":149,"score":144,"supported":47,"title":246,"abstract":247,"tags":248},[153],[152,153],[152],{"code":168,"score":250,"supported":47,"title":251,"abstract":253,"tags":255},12,[252],"sustainable agriculture",[254],"可持续农业",[231],{"code":33,"score":13,"supported":47,"title":257,"abstract":258,"tags":260},[],[125,259,139],"气候适应",[29],{"code":262,"score":21,"supported":47,"title":263,"abstract":264,"tags":269},"H6",[],[265,266,267,268],"生物多样性","农业生态","biodiversity","agroecology",[],{"code":271,"score":106,"supported":47,"title":272,"abstract":273,"tags":276},"H2",[],[274,275],"土壤","soil",[],{"code":278,"score":106,"supported":47,"title":279,"abstract":280,"tags":283},"H3",[],[281,282],"灌溉","irrigation",[],{"code":76,"score":46,"supported":47,"title":285,"abstract":286,"tags":287},[],[28],[28],{"code":66,"score":54,"supported":47,"title":289,"abstract":290,"tags":291},[],[165],[],{"code":60,"score":54,"supported":47,"title":293,"abstract":294,"tags":296},[],[295],"农业政策",[],[298,299],"气候智慧型农业 非洲","生态农业 粮食安全","气候智慧型农业非洲-3156",5,"10.56201\u002Fijgem.vol.11.no2.2025.pg8.32",{"doi":302,"openalex_id":304,"authors":305,"venue":220,"cited_by_count":22,"oa_url":9,"card":308,"direction":212,"ingested_from":103},"W7213982962",[306],{"name":307,"orcid":9},"Ayobami Samuel Owoyemi",{"tldr":309,"method":310,"finding":311,"direction":210,"opportunity":312},"综述气候智慧型农业与生态农业在非洲提升农业韧性与粮食安全的成效及障碍。","文献综述、案例研究与政策框架分析。","两类策略有效但受资金、基建、推广服务及政策偏向制约。","可量化评估CSA与生态农业在非洲不同区域的适配性与政策协同效果。","2026-09-22T23:30:10.505058Z",{"id":315,"title":316,"url":317,"summary":318,"summary_zh":319,"content":9,"source_name":320,"source_url":317,"published_at":321,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":222,"score_detail":322,"sources":324,"tags":326,"primary_topic":328,"secondary_topics":329,"classification":331,"search_phrases":358,"slug":361,"view_count":301,"doi":362,"paper":363,"created_at":374},2939,"Climate Change and Food Security in Africa: Harnessing Responsible AI for Sustainable Agricultural Transformation","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijaes.vol.11.no9.2025.pg79.102","Africa stands at the crossroads of two defining 21st-century challenges: climate change and food insecurity. The continents agricultural systems are increasingly disrupted by rising temperatures, erratic rainfall, and extreme weather events, exacerbating hunger, poverty, and rural vulnerability. At the same time, Artificial Intelligence (AI) presents transformative potential to support climate adaptation, improve agricultural resilience, and enhance food systems governance across Africa. This study undertakes a qualitative content analysis and critical synthesis of 25 peer-reviewed articles, institutional reports, and working papers to examine how AI is currently applied and could be more effectively leveraged for climate-resilient agriculture and food security on the continent. Findings reveal a growing body of innovations, from AIdriven weather forecasting and early warning systems to precision agriculture and supply chain optimization. Yet the study identifies persistent structural limitations, including unreliable data infrastructure, low digital capacity in rural areas, and governance gaps around ethical deployment, data ownership, and equitable access. Through African case studies, the paper explores how localized AI solutions when supported by inclusive policies, multi-stakeholder collaboration, and responsible innovation frameworks can mitigate climate-induced food shocks and drive sustainable development. The paper argues for a strategic alignment between AI deployment and national adaptation plans, emphasizing the need for stronger public-private partnerships, investments in AI-ready infrastructure, and the development of ethical and contextsensitive governance mechanisms. In doing so, it offers a roadmap for policymakers, development agencies, and researchers seeking to harness AI not just as a technological tool, but as a catalyst for systemic transformation in African food systems in the era of climate change.","非洲正处在21世纪两大决定性挑战的交汇点：气候变化与粮食不安全。随着气温上升、降雨异常和极端天气事件频发，非洲大陆的农业系统日益受到扰乱，饥饿、贫困和农村脆弱性问题不断加剧。与此同时，人工智能（AI）展现出变革性潜力，可支持非洲的气候适应、提升农业韧性并改善粮食系统治理。本研究对25篇同行评审论文、机构报告和工作论文进行了定性内容分析与批判性综合，考察AI当前在非洲大陆的应用方式，以及如何更有效地将其用于气候韧性农业和粮食安全。研究发现，相关创新不断涌现，涵盖AI驱动的天气预报和预警系统、精准农业以及供应链优化等领域。然而，研究也识别出持续存在的结构性制约，包括数据基础设施不可靠、农村地区数字能力薄弱，以及围绕伦理部署、数据所有权和公平获取的治理缺口。通过非洲案例研究，本文探讨了在包容性政策、多利益相关方协作和负责任创新框架支持下，本地化的AI解决方案如何能够缓解气候引发的粮食冲击并推动可持续发展。本文主张将AI部署与国家适应计划进行战略对接，强调需要加强公私伙伴关系、投资于AI就绪型基础设施，并建立合乎伦理且情境敏感的治理机制。由此，本文为政策制定者、发展机构和研究人员提供了一份路线图，旨在气候变化时代将AI不仅作为技术工具，更作为非洲粮食系统系统性转型的催化剂加以利用。","INTERNATIONAL JOURNAL OF AGRICULTURE AND EARTH SCIENCE","2026-09-16T00:00:00Z",{"impact":19,"substance":224,"depth":225,"authority":20,"freshness":119,"relevant":22,"comment":323},"系统综述25篇文献，梳理AI在非洲气候韧性农业中的应用与治理缺口，对农业信息化有参考价值，但属境外区域研究，公共影响有限。",[325],{"name":320,"url":317},[27,327,152,28,259],"农业人工智能",{"code":149,"slug":233,"name":234,"path":235,"parent_code":131},[330],{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":332},{"candidates":333,"agricultural_evidence":47},[334,338,342,349,354],{"code":33,"score":19,"supported":47,"title":335,"abstract":336,"tags":337},[139],[125,259,139],[259],{"code":149,"score":144,"supported":47,"title":339,"abstract":340,"tags":341},[153],[152,153],[152],{"code":66,"score":343,"supported":47,"title":344,"abstract":345,"tags":348},7,[],[346,347],"精准农业","precision agriculture",[27],{"code":71,"score":46,"supported":47,"title":350,"abstract":351,"tags":353},[],[352],"artificial intelligence",[327],{"code":76,"score":22,"supported":14,"title":355,"abstract":356,"tags":357},[],[],[28],[359,360],"非洲 农业人工智能 粮食安全","AI 气候韧性农业 非洲","非洲农业人工智能粮食安全-2939","10.56201\u002Fijaes.vol.11.no9.2025.pg79.102",{"doi":362,"openalex_id":364,"authors":365,"venue":320,"cited_by_count":95,"oa_url":368,"card":369,"direction":212,"ingested_from":103},"W7213462904",[366],{"name":367,"orcid":9},"Izuchukwu Adamaagashi","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FIJAES\u002FVOL. 11 NO. 9 2025\u002FClimate Change and Food Security 79-102.pdf",{"tldr":370,"method":371,"finding":372,"direction":101,"opportunity":373},"通过定性分析25篇文献，探讨如何负责任地利用AI推动非洲气候适应型农业与粮食安全。","对25篇同行评议论文、机构报告和工作论文进行定性内容分析与批判性综合。","AI在天气预报、精准农业等方面有创新，但面临数据基础设施差、农村数字能力低和治理缺口等结构性限制。","可研究非洲本地化AI解决方案的伦理治理框架与公私合作模式，填补数据所有权和公平获取的研究空白。","2026-09-19T23:30:19.482449Z",{"id":376,"title":377,"url":378,"summary":379,"summary_zh":9,"content":9,"source_name":380,"source_url":9,"published_at":381,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":382,"score_detail":383,"sources":385,"tags":387,"primary_topic":392,"secondary_topics":397,"classification":405,"search_phrases":426,"slug":429,"view_count":22,"doi":9,"paper":430,"created_at":439},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",82,{"impact":19,"substance":18,"depth":19,"authority":118,"freshness":13,"relevant":22,"comment":384},"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。",[386],{"name":380,"url":378},[27,388,389,390,391],"农业遥感","作物表型","无人机多光谱","小麦渍害",{"code":393,"slug":394,"name":395,"path":396,"parent_code":131},"A2","wheat","小麦","\u002Ftopic\u002Ffield-crops\u002Fwheat",[398,404],{"code":399,"slug":400,"name":401,"path":402,"parent_code":403},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},{"status":40,"locked":14,"version":41,"method":42,"evidence":406},{"candidates":407,"agricultural_evidence":47},[408,413,417,422],{"code":393,"score":409,"supported":47,"title":410,"abstract":411,"tags":412},11,[395],[395],[],{"code":399,"score":409,"supported":47,"title":414,"abstract":415,"tags":416},[390],[],[389,388,390],{"code":33,"score":119,"supported":47,"title":418,"abstract":420,"tags":421},[419],"渍害",[],[],{"code":66,"score":22,"supported":14,"title":423,"abstract":424,"tags":425},[],[],[27],[427,428],"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":431,"venue":9,"cited_by_count":95,"oa_url":9,"card":432,"direction":436,"ingested_from":438},[],{"tldr":433,"method":434,"finding":435,"direction":436,"opportunity":437},"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%。","农业遥感与作物表型","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":441,"title":442,"url":443,"summary":444,"summary_zh":445,"content":9,"source_name":446,"source_url":443,"published_at":447,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":448,"score_detail":449,"sources":451,"tags":453,"primary_topic":458,"secondary_topics":459,"classification":460,"search_phrases":494,"slug":497,"view_count":95,"doi":498,"paper":499,"created_at":512},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)","2026-10-20T00:00:00Z",70,{"impact":17,"substance":19,"depth":144,"authority":250,"freshness":21,"relevant":22,"comment":450},"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。",[452],{"name":446,"url":443},[454,27,455,456,457],"数字农业","可持续发展","气候韧性","农业ICT",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":461},{"candidates":462,"agricultural_evidence":47},[463,468,473,477,483,489],{"code":33,"score":19,"supported":47,"title":464,"abstract":466,"tags":467},[465],"climate resilience",[125,139,465],[456],{"code":66,"score":409,"supported":47,"title":469,"abstract":470,"tags":472},[],[346,454,471],"digital agriculture",[454,27],{"code":271,"score":106,"supported":47,"title":474,"abstract":475,"tags":476},[],[274,275],[],{"code":399,"score":106,"supported":47,"title":478,"abstract":479,"tags":482},[],[480,481],"遥感","remote sensing",[],{"code":484,"score":54,"supported":47,"title":485,"abstract":486,"tags":488},"G2",[],[487],"小农户",[],{"code":278,"score":54,"supported":47,"title":490,"abstract":491,"tags":493},[],[492],"水资源",[],[495,496],"Haryana 数字化转型","ICT 气候韧性","Haryana数字化转型-5476","10.5281\u002Fzenodo.23491288",{"doi":498,"openalex_id":500,"authors":501,"venue":446,"cited_by_count":95,"oa_url":443,"card":506,"direction":212,"ingested_from":103},"W7223011965",[502,504],{"name":503,"orcid":9},"Himani Rathi",{"name":505,"orcid":9},"Pardeep Kumar Duhan",{"tldr":507,"method":508,"finding":509,"direction":510,"opportunity":511},"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":514,"title":515,"url":516,"summary":517,"summary_zh":518,"content":9,"source_name":519,"source_url":516,"published_at":520,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":521,"score_detail":522,"sources":524,"tags":526,"primary_topic":529,"secondary_topics":530,"classification":534,"search_phrases":572,"slug":575,"view_count":95,"doi":9,"paper":576,"created_at":590},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":224,"depth":225,"authority":250,"freshness":106,"relevant":22,"comment":523},"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。",[525],{"name":519,"url":516},[27,152,125,527,528],"适应性策略","水资源短缺",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[531],{"code":278,"slug":282,"name":532,"path":533,"parent_code":37},"水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":40,"locked":14,"version":41,"method":42,"evidence":535},{"candidates":536,"agricultural_evidence":47},[537,541,545,549,553,557,564,568],{"code":33,"score":19,"supported":47,"title":538,"abstract":539,"tags":540},[139],[125,50,139,141],[125],{"code":278,"score":21,"supported":47,"title":542,"abstract":543,"tags":544},[],[281,492,282],[],{"code":149,"score":343,"supported":47,"title":546,"abstract":547,"tags":548},[],[152,153],[152],{"code":393,"score":106,"supported":47,"title":550,"abstract":551,"tags":552},[],[395,394],[],{"code":128,"score":106,"supported":47,"title":554,"abstract":555,"tags":556},[],[124,129],[],{"code":558,"score":106,"supported":47,"title":559,"abstract":560,"tags":563},"A6",[],[561,562],"棉花","cotton",[],{"code":66,"score":46,"supported":47,"title":565,"abstract":566,"tags":567},[],[165],[27],{"code":262,"score":54,"supported":47,"title":569,"abstract":570,"tags":571},[],[266],[],[573,574],"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":577,"authors":578,"venue":519,"cited_by_count":95,"oa_url":516,"card":585,"direction":212,"ingested_from":103},"W7222907396",[579,581,583],{"name":580,"orcid":9},"Mohammad Shafiq Faieq",{"name":582,"orcid":9},"Mustafa Abid",{"name":584,"orcid":9},"Abdul khalil Afghani",{"tldr":586,"method":587,"finding":588,"direction":210,"opportunity":589},"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"]