[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3243":3,"related-3243":92},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":43,"search_phrases":77,"slug":80,"view_count":62,"doi":8,"paper":81,"created_at":91},3243,"Integrating Climate Resilience and Digital Traceability in Regenerative Agri-Food Systems: A Scenario-Based Framework for Verifiable Sustainability Claims（再生农业食品系统整合气候韧性与数字溯源：可验证可持续性声明的情景框架）","https:\u002F\u002Fwww.mdpi.com\u002F2077-0472\u002F16\u002F18\u002F2024","MDPI Agriculture 16(18) 2024 发表研究：面对再生农业食品系统的可持续性声明常缺乏可验证、系统性证据的问题，构建整合情景分析、SWOT评估和案例研究的三方法框架。三种前瞻性情景——乐观、常规、悲观——基于现有气候韧性和政策文献构建；SWOT分析综合区块链、物联网和AI赋能的溯源机制影响因素；案例研究以先前记录的再生农业食品计划为基础，分析气候韧性叙事、数字验证工具和消费者信任线索的交互作用。结果表明，再生声明常与可验证数据流脱节，数字溯源采用面临结构性、成本相关障碍，消费者信任更依赖于情感和本土化线索而非正式认证；该框架为政策制定者、认证机构和农产品生产者将气候韧性战略与数字可验证可持续性声明相结合提供可复制、低资源方法。（罗马尼亚布加勒斯特国家科学技术大学Politehnica）",null,"MDPI Agriculture","2026-09-20T00:00:00Z","论文",10,false,70,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},12,20,17,13,8,1,"论文提出情景分析、SWOT与案例研究三方法框架，指出再生农业可持续性声明与可验证数据流脱节，对农业数字化溯源有参考价值，但属学术探讨、产业落地影响有限。",[24],{"name":9,"url":6},[26,27,28,29,30],"农业人工智能","区块链","气候韧性","数字溯源","再生农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"H8","sustainable-agriculture","可持续与保护性农业","\u002Ftopic\u002Fenvironment\u002Fsustainable-agriculture","H",[38],{"code":39,"slug":40,"name":41,"path":42,"parent_code":36},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"status":44,"locked":13,"version":45,"method":46,"evidence":47},"classified","2026-10-22.2","rules",{"candidates":48,"agricultural_evidence":50},[49,54,60,67,72],{"code":32,"score":16,"supported":50,"title":51,"abstract":52,"tags":53},true,[30],[30],[30],{"code":39,"score":55,"supported":50,"title":56,"abstract":58,"tags":59},9,[57],"climate resilience",[],[28],{"code":61,"score":62,"supported":50,"title":63,"abstract":64,"tags":66},"I5",3,[],[65],"物联网",[],{"code":68,"score":21,"supported":13,"title":69,"abstract":70,"tags":71},"E4",[],[],[29],{"code":73,"score":21,"supported":13,"title":74,"abstract":75,"tags":76},"I2",[],[],[26],[78,79],"布加勒斯特 Politehnica 再生农业","MDPI Agriculture 数字溯源","布加勒斯特Politehnica再生农业-3243",{"doi":8,"openalex_id":8,"authors":82,"venue":8,"cited_by_count":83,"oa_url":8,"card":84,"direction":88,"ingested_from":90},[],0,{"tldr":85,"method":86,"finding":87,"direction":88,"opportunity":89},"构建情景分析、SWOT与案例研究框架，整合再生农业的气候韧性与数字溯源以验证可持续性声明。","情景分析、SWOT评估与案例研究三方法框架，结合区块链、物联网和AI溯源文献。","再生声明常与可验证数据脱节，数字溯源有成本障碍，消费者信任更依赖情感与本土线索。","数字乡村与农业信息化","可探索低成本数字溯源与本土化信任线索结合的可验证声明机制，尤其在小农户场景。","agent","2026-09-23T00:04:32.924354Z",{"total":93,"page":21,"page_size":93,"items":94},6,[95,207,282,374,429,518],{"id":96,"title":97,"url":98,"summary":99,"summary_zh":100,"content":8,"source_name":101,"source_url":98,"published_at":102,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":103,"score_detail":104,"sources":107,"tags":109,"primary_topic":115,"secondary_topics":121,"classification":124,"search_phrases":187,"slug":190,"view_count":191,"doi":192,"paper":193,"created_at":206},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":105,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":106},18,"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。",[108],{"name":101,"url":98},[110,111,112,113,114],"粮食安全","非洲农业","气候智慧型农业","农业适应","生态农业",{"code":116,"slug":117,"name":118,"path":119,"parent_code":120},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[122,123],{"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":13,"version":45,"method":46,"evidence":125},{"candidates":126,"agricultural_evidence":50},[127,133,139,146,155,162,169,175,181],{"code":116,"score":128,"supported":50,"title":129,"abstract":131,"tags":132},15,[130],"food security",[110,130],[110],{"code":32,"score":16,"supported":50,"title":134,"abstract":136,"tags":138},[135],"sustainable agriculture",[137],"可持续农业",[114],{"code":39,"score":12,"supported":50,"title":140,"abstract":141,"tags":145},[],[142,143,144],"气候变化","气候适应","climate change",[112],{"code":147,"score":55,"supported":50,"title":148,"abstract":149,"tags":154},"H6",[],[150,151,152,153],"生物多样性","农业生态","biodiversity","agroecology",[],{"code":156,"score":93,"supported":50,"title":157,"abstract":158,"tags":161},"H2",[],[159,160],"土壤","soil",[],{"code":163,"score":93,"supported":50,"title":164,"abstract":165,"tags":168},"H3",[],[166,167],"灌溉","irrigation",[],{"code":170,"score":171,"supported":50,"title":172,"abstract":173,"tags":174},"J3",4,[],[111],[111],{"code":176,"score":62,"supported":50,"title":177,"abstract":178,"tags":180},"I1",[],[179],"smart agriculture",[],{"code":182,"score":62,"supported":50,"title":183,"abstract":184,"tags":186},"J1",[],[185],"农业政策",[],[188,189],"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":192,"openalex_id":194,"authors":195,"venue":101,"cited_by_count":21,"oa_url":8,"card":198,"direction":204,"ingested_from":205},"W7213982962",[196],{"name":197,"orcid":8},"Ayobami Samuel Owoyemi",{"tldr":199,"method":200,"finding":201,"direction":202,"opportunity":203},"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。","农业绿色发展与碳","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。","智慧农业 \u002F 农业物联网","openalex","2026-09-22T23:30:10.505058Z",{"id":208,"title":209,"url":210,"summary":211,"summary_zh":212,"content":8,"source_name":213,"source_url":210,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":214,"score_detail":215,"sources":218,"tags":220,"primary_topic":225,"secondary_topics":226,"classification":228,"search_phrases":264,"slug":267,"view_count":62,"doi":268,"paper":269,"created_at":281},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)",71,{"impact":16,"substance":216,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":217},21,"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。",[219],{"name":213,"url":210},[221,110,222,223,224],"农业遥感","气候智慧农业","灌溉系统","索马里农业",{"code":39,"slug":40,"name":41,"path":42,"parent_code":36},[227],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":44,"locked":13,"version":45,"method":46,"evidence":229},{"candidates":230,"agricultural_evidence":50},[231,235,240,245,249,255,259],{"code":39,"score":128,"supported":50,"title":232,"abstract":233,"tags":234},[144],[142,144],[222],{"code":32,"score":236,"supported":50,"title":237,"abstract":238,"tags":239},14,[135],[137,135],[],{"code":116,"score":241,"supported":50,"title":242,"abstract":243,"tags":244},7,[],[110,130],[110],{"code":163,"score":93,"supported":50,"title":246,"abstract":247,"tags":248},[],[166,167],[],{"code":250,"score":62,"supported":50,"title":251,"abstract":252,"tags":254},"H4",[],[253],"碳排放",[],{"code":176,"score":62,"supported":50,"title":256,"abstract":257,"tags":258},[],[179],[],{"code":260,"score":21,"supported":13,"title":261,"abstract":262,"tags":263},"I3",[],[],[221],[265,266],"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":268,"openalex_id":270,"authors":271,"venue":213,"cited_by_count":83,"oa_url":210,"card":276,"direction":204,"ingested_from":205},"W7213772032",[272,274],{"name":273,"orcid":8},"Mohamed Nur Abdulkadir",{"name":275,"orcid":8},"Yassin Sheikh Ali Ali",{"tldr":277,"method":278,"finding":279,"direction":202,"opportunity":280},"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%。","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":283,"title":284,"url":285,"summary":286,"summary_zh":287,"content":8,"source_name":288,"source_url":285,"published_at":289,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":290,"score_detail":291,"sources":293,"tags":295,"primary_topic":299,"secondary_topics":300,"classification":304,"search_phrases":356,"slug":359,"view_count":21,"doi":360,"paper":361,"created_at":373},4528,"Integrating indigenous knowledge systems into regenerative agriculture for sustainable crop production in southern Africa","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs43621-026-04926-8","Abstract Agricultural production in Southern Africa is increasingly constrained by climate variability, declining soil fertility, water scarcity, biodiversity loss, and rising pest pressures, particularly within rain-fed smallholder farming systems. Indigenous Knowledge Systems (IKS), developed through generations of interaction between communities and local agroecosystems, offer context-specific approaches that align closely with the principles of regenerative agriculture. This review synthesizes evidence from 37 publications examining the contribution of IKS to sustainable crop production across Southern Africa. Particular attention is given to soil health, soil biological activity, water-use efficiency, ecological pest regulation, crop productivity, and climate resilience. The synthesis demonstrates that indigenous regenerative practices, including organic soil amendments, residue retention, crop diversification, intercropping, agroforestry, water harvesting, and botanical pest management, improve soil organic carbon, enhance microbial activity, increase water retention, and stabilize yields under climatic stress. Evidence further indicates that indigenous pest management strategies frequently maintain pest populations below economic injury thresholds, thereby reducing dependence on synthetic pesticides while supporting ecosystem services. The review highlights the convergence between IKS, agroecology, integrated pest management, conservation agriculture, and regenerative agriculture, and proposes pathways for integrating indigenous ecological indicators into decision-support systems, crop models, and precision agriculture technologies. Despite growing recognition of indigenous knowledge within sustainability and climate adaptation agendas, significant gaps remain in quantitative validation, longitudinal assessment, and integration into formal agricultural research and policy frameworks. The findings demonstrate that Indigenous Knowledge Systems constitute a scientifically credible and economically viable foundation for regenerative agriculture and contribute directly to Sustainable Development Goals 2 (Zero Hunger), 12 (Responsible Consumption and Production), 13 (Climate Action), and 15 (Life on Land). Strengthening the integration of indigenous and scientific knowledge systems will be essential for building resilient, productive, and sustainable agricultural systems across Southern Africa and the broader Global South.","摘要 南部非洲的农业生产日益受到气候变异性、土壤肥力下降、水资源短缺、生物多样性丧失和病虫害压力上升的制约，这在雨养小农耕作系统中尤为突出。本土知识体系（Indigenous Knowledge Systems, IKS）通过社区与地方农业生态系统数代互动而发展形成，提供了与再生农业原则高度契合的情境化方法。本综述综合了37篇文献的证据，考察了IKS在南部非洲可持续作物生产中的贡献。研究特别关注土壤健康、土壤生物活性、水分利用效率、生态病虫害调控、作物生产力及气候韧性。综合结果表明，本土再生实践——包括有机土壤改良、残茬保留、作物多样化、间作、农林业、集水和植物源病虫害管理——能够提高土壤有机碳、增强微生物活性、增加持水量并在气候胁迫下稳定产量。证据进一步表明，本土病虫害管理策略常能将病虫害种群维持在经济危害阈值以下，从而减少对合成农药的依赖，同时支持生态系统服务。本综述强调了IKS与农业生态学、病虫害综合治理、保护性农业和再生农业之间的趋同性，并提出了将本土生态指标纳入决策支持系统、作物模型和精准农业技术的路径。尽管本土知识在可持续发展和气候适应议程中日益受到认可，但在定量验证、长期评估以及纳入正式农业研究和政策框架方面仍存在显著空白。研究结果表明，本土知识体系构成了再生农业的科学可信且经济可行的基础，并直接有助于实现可持续发展目标2（零饥饿）、12（负责任消费和生产）、13（气候行动）和15（陆地生物）。加强本土知识与科学知识体系的整合，对于在南部非洲及更广泛的全球南方构建韧性、高产和可持续的农业系统至关重要。","Discover Sustainability","2026-10-08T00:00:00Z",75,{"impact":128,"substance":216,"depth":105,"authority":19,"freshness":20,"relevant":21,"comment":292},"综述整合37篇文献，论证土著知识对再生农业与气候韧性的科学价值，具区域政策参考意义。",[294],{"name":288,"url":285},[296,28,297,30,298],"小农户","土壤健康","土著知识",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[301],{"code":147,"slug":152,"name":302,"path":303,"parent_code":36},"生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity",{"status":44,"locked":13,"version":45,"method":46,"evidence":305},{"candidates":306,"agricultural_evidence":50},[307,313,318,322,326,333,339,345,351],{"code":32,"score":105,"supported":50,"title":308,"abstract":310,"tags":312},[309],"regenerative agriculture",[30,311,309],"conservation agriculture",[30],{"code":147,"score":55,"supported":50,"title":314,"abstract":315,"tags":317},[],[150,151,316,152,153],"生态系统服务",[],{"code":156,"score":241,"supported":50,"title":319,"abstract":320,"tags":321},[],[159,160],[297],{"code":39,"score":241,"supported":50,"title":323,"abstract":324,"tags":325},[],[143,57],[28],{"code":327,"score":93,"supported":50,"title":328,"abstract":329,"tags":332},"A7",[],[330,331],"间作","intercropping",[],{"code":176,"score":93,"supported":50,"title":334,"abstract":335,"tags":338},[],[336,337],"精准农业","precision agriculture",[],{"code":340,"score":171,"supported":50,"title":341,"abstract":342,"tags":344},"G2",[],[343],"smallholder",[296],{"code":346,"score":62,"supported":50,"title":347,"abstract":348,"tags":350},"F4",[],[349],"农药",[],{"code":163,"score":62,"supported":50,"title":352,"abstract":353,"tags":355},[],[354],"水资源",[],[357,358],"南部非洲 再生农业 土著知识","土著知识 土壤健康 小农户","南部非洲再生农业土著知识-4528","10.1007\u002Fs43621-026-04926-8",{"doi":360,"openalex_id":362,"authors":363,"venue":288,"cited_by_count":83,"oa_url":285,"card":367,"direction":372,"ingested_from":205},"W7220943031",[364],{"name":365,"orcid":366},"Albert Thembinkosi Modi","https:\u002F\u002Forcid.org\u002F0000-0002-6887-1721",{"tldr":368,"method":369,"finding":370,"direction":202,"opportunity":371},"综述37篇文献，论证南部非洲本土知识可支撑再生农业与可持续作物生产。","系统综述37篇文献，聚焦土壤、水分、病虫害与气候韧性。","本土再生实践能提升土壤碳、微生物活性与水分保持，稳定产量并减少农药依赖。","可将本土生态指标量化并嵌入作物模型与精准农业决策系统，填补长期验证空白。","农业人工智能与决策模型","2026-10-09T23:30:52.261674Z",{"id":375,"title":376,"url":377,"summary":378,"summary_zh":8,"content":8,"source_name":379,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":380,"score_detail":381,"sources":384,"tags":386,"primary_topic":390,"secondary_topics":391,"classification":392,"search_phrases":416,"slug":419,"view_count":420,"doi":8,"paper":421,"created_at":428},3050,"面向再生农业与气候韧性食物系统的可解释数字孪生集成框架","https:\u002F\u002Fwww.mdpi.com\u002F2071-1050\u002F18\u002F18\u002F9645","研究提出集成全球农业基础表征模型（GAFRM）、自演化可解释数字孪生（SEDT）、自演化进化基础优化器（SEEFO）与增强型绿色再生农业可持续性指数（GRASI）的统一计算框架，显式将作物微量营养素密度纳入农业决策架构并建模其与覆盖作物、生物炭施用、免耕等再生实践的关系。框架使用多源全球数据集评估全球约60个代表性国家6大洲15个气候带2000-2026年数据，SEDT达到RMSE 3.18\u002FMAE 2.29\u002FR² 0.972\u002FNSE 0.968；SEEFO获得最高Hypervolume 0.956与最低GD 0.028；通过XAI特征归因建立全透明、可解释决策支持环境。","MDPI Sustainability 18(18):9645",80,{"impact":105,"substance":382,"depth":105,"authority":19,"freshness":55,"relevant":21,"comment":383},22,"方法新颖、数据规模大且指标可靠，属农业人工智能与气候智慧农业前沿成果，值得进入每日精选。",[385],{"name":379,"url":377},[387,388,389,28,30],"智慧农业","可解释AI","数字孪生",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":44,"locked":13,"version":45,"method":46,"evidence":393},{"candidates":394,"agricultural_evidence":50},[395,399,403,408,412],{"code":176,"score":19,"supported":50,"title":396,"abstract":397,"tags":398},[389],[389],[389,387],{"code":32,"score":16,"supported":50,"title":400,"abstract":401,"tags":402},[30],[30],[30],{"code":170,"score":62,"supported":50,"title":404,"abstract":405,"tags":407},[],[406],"全球农业",[],{"code":39,"score":21,"supported":13,"title":409,"abstract":410,"tags":411},[],[],[28],{"code":73,"score":21,"supported":13,"title":413,"abstract":414,"tags":415},[],[],[388],[417,418],"GAFRM 数字孪生 再生农业","GRASI 气候韧性","GAFRM数字孪生再生农业-3050",2,{"doi":8,"openalex_id":8,"authors":422,"venue":8,"cited_by_count":83,"oa_url":8,"card":423,"direction":372,"ingested_from":90},[],{"tldr":424,"method":425,"finding":426,"direction":372,"opportunity":427},"提出集成数字孪生与进化优化的可解释框架，将微量营养素密度纳入再生农业决策。","全球60国2000-2026多源数据，GAFRM+SEDT+SEEFO+GRAS","SEDT预测精度高（R²0.972），SEEFO优化性能最优，实现透明可解释决策支持。","可探索将微量营养素密度与再生实践耦合的实时数字孪生，并验证跨气候带可迁移性。","2026-09-21T00:04:39.490071Z",{"id":430,"title":431,"url":432,"summary":433,"summary_zh":434,"content":8,"source_name":435,"source_url":432,"published_at":436,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":437,"score_detail":438,"sources":440,"tags":442,"primary_topic":446,"secondary_topics":447,"classification":458,"search_phrases":494,"slug":497,"view_count":21,"doi":498,"paper":499,"created_at":517},2945,"Assessing spatial suitability and climate resilience of agroforestry systems in the Indian Himalaya of Uttarakhand using remote sensing and artificial neural networks","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44415-026-00113-9","Agroforestry systems are widely recognized for their capacity to enhance ecological sustainability, livelihood security, and climate resilience in mountain environments. However, their spatial suitability and long-term resilience under changing climatic conditions remain poorly quantified in the Indian Himalaya. This study assesses the spatial suitability and climate resilience of agroforestry systems in Uttarakhand using an integrated framework of remote sensing, geographic information systems (GIS), and artificial neural networks (ANNs). Landsat 8 OLI imagery (30 m resolution) was classified using a supervised Gaussian Maximum Likelihood Classifier (MLC), while land-use categories were defined based on a modified Anderson Level I\u002FII classification scheme to represent the heterogeneous Himalayan landscape. Field surveys conducted across representative agroecological zones documented the composition of tree and crop species within prevailing agroforestry systems. A multi-criteria land suitability analysis, guided by FAO (Food and Agriculture Organization of the United Nations) principles, was implemented using key biophysical variables including altitude, slope, aspect, Normalized Difference Vegetation Index (NDVI), soil properties, temperature, and precipitation. Future agroforestry patterns were simulated using an ANN model under RCP 4.5 climate scenarios. The model demonstrated strong predictive performance, indicating reliable simulation of agroforestry distribution. Results show that mid-altitudinal zones offer the highest suitability for agroforestry expansion, whereas small and fragmented systems exhibit reduced climate resilience under future projections. The findings provide a spatially explicit framework to support climate-resilient agroforestry planning and policy formulation in the Himalayan region.","农林复合系统因其在山区环境中提升生态可持续性、生计安全及气候适应能力方面的作用而受到广泛认可。然而，在印度喜马拉雅地区，其空间适宜性及气候变化条件下的长期适应能力仍缺乏充分的量化评估。本研究采用遥感、地理信息系统（GIS）与人工神经网络（ANN）相结合的综合框架，评估了北阿坎德邦农林复合系统的空间适宜性与气候适应能力。利用监督式高斯最大似然分类器（MLC）对Landsat 8 OLI影像（30 m分辨率）进行分类，同时基于改进的Anderson一级\u002F二级分类方案界定土地利用类别，以表征喜马拉雅地区异质性景观。在代表性农业生态区开展实地调查，记录了现有农林复合系统中树种和作物物种的组成。依据联合国粮食及农业组织（FAO）原则，采用多准则土地适宜性分析，纳入海拔、坡度、坡向、归一化植被指数（NDVI）、土壤属性、温度和降水等关键生物物理变量。利用ANN模型在RCP 4.5气候情景下模拟未来农林复合系统格局。模型表现出较强的预测性能，表明对农林复合系统分布的模拟可靠。结果表明，中海拔区域为农林复合系统扩展提供了最高的适宜性，而小型和破碎化系统在未来预测情景下表现出较低的气候适应能力。研究结果为喜马拉雅地区气候适应型农林复合系统规划与政策制定提供了空间明确的框架支持。","Discover Forests","2026-09-18T00:00:00Z",72,{"impact":16,"substance":216,"depth":18,"authority":19,"freshness":55,"relevant":21,"comment":439},"遥感与人工神经网络结合评估喜马拉雅地区农林复合系统空间适宜性与气候韧性，方法新颖、结论有区域政策参考价值，但属境外区域研究，公共影响有限。",[441],{"name":435,"url":432},[26,443,28,444,445],"遥感","土地适宜性","农林复合经营",{"code":39,"slug":40,"name":41,"path":42,"parent_code":36},[448,453],{"code":260,"slug":449,"name":450,"path":451,"parent_code":452},"remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",{"code":454,"slug":455,"name":456,"path":457,"parent_code":452},"I4","gis","GIS与空间分析","\u002Ftopic\u002Fdigital-agriculture\u002Fgis",{"status":44,"locked":13,"version":45,"method":46,"evidence":459},{"candidates":460,"agricultural_evidence":50},[461,465,470,477,481,485,490],{"code":39,"score":105,"supported":50,"title":462,"abstract":463,"tags":464},[57],[142,143,57],[28],{"code":260,"score":128,"supported":50,"title":466,"abstract":468,"tags":469},[467],"remote sensing",[443,467],[443],{"code":454,"score":55,"supported":50,"title":471,"abstract":472,"tags":476},[],[473,474,475],"地理信息","GIS","geographic information",[],{"code":156,"score":93,"supported":50,"title":478,"abstract":479,"tags":480},[],[159,160],[],{"code":147,"score":62,"supported":50,"title":482,"abstract":483,"tags":484},[],[151],[],{"code":486,"score":21,"supported":13,"title":487,"abstract":488,"tags":489},"H1",[],[],[444],{"code":73,"score":21,"supported":13,"title":491,"abstract":492,"tags":493},[],[],[26],[495,496],"Uttarakhand 农林复合系统 遥感","印度喜马拉雅 人工神经网络 土地适宜性","Uttarakhand农林复合系统遥感-2945","10.1007\u002Fs44415-026-00113-9",{"doi":498,"openalex_id":500,"authors":501,"venue":435,"cited_by_count":83,"oa_url":432,"card":511,"direction":515,"ingested_from":205},"W7213553408",[502,504,506,509],{"name":503,"orcid":8},"Deepak Kumar Mishra",{"name":505,"orcid":8},"Ujjwal Kumar",{"name":507,"orcid":508},"A. Arunachalam","https:\u002F\u002Forcid.org\u002F0000-0001-6590-4113",{"name":510,"orcid":8},"Ayyanadar Arunachalam",{"tldr":512,"method":513,"finding":514,"direction":515,"opportunity":516},"结合遥感、GIS与人工神经网络评估印度喜马拉雅地区农林复合系统的空间适宜性与气候韧性。","Landsat 8影像监督分类、FAO多准则适宜性分析、ANN在RCP4.5情景","中海拔区最适宜农林复合扩展，小而破碎系统在未来气候下韧性较低。","农业遥感与作物表型","可将该遥感-ANN框架迁移至中国山区，耦合多情景气候与农户数据优化农林复合布局。","2026-09-19T23:30:33.082917Z",{"id":519,"title":520,"url":521,"summary":522,"summary_zh":523,"content":8,"source_name":524,"source_url":521,"published_at":525,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":526,"sources":529,"tags":531,"primary_topic":535,"secondary_topics":536,"classification":537,"search_phrases":566,"slug":569,"view_count":83,"doi":570,"paper":571,"created_at":583},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",{"impact":527,"substance":105,"depth":128,"authority":16,"freshness":55,"relevant":21,"comment":528},16,"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。",[530],{"name":524,"url":521},[532,387,533,28,534],"数字农业","可持续发展","农业ICT",{"code":39,"slug":40,"name":41,"path":42,"parent_code":36},[],{"status":44,"locked":13,"version":45,"method":46,"evidence":538},{"candidates":539,"agricultural_evidence":50},[540,544,550,554,558,562],{"code":39,"score":105,"supported":50,"title":541,"abstract":542,"tags":543},[57],[142,144,57],[28],{"code":176,"score":545,"supported":50,"title":546,"abstract":547,"tags":549},11,[],[336,532,548],"digital agriculture",[532,387],{"code":156,"score":93,"supported":50,"title":551,"abstract":552,"tags":553},[],[159,160],[],{"code":260,"score":93,"supported":50,"title":555,"abstract":556,"tags":557},[],[443,467],[],{"code":340,"score":62,"supported":50,"title":559,"abstract":560,"tags":561},[],[296],[],{"code":163,"score":62,"supported":50,"title":563,"abstract":564,"tags":565},[],[354],[],[567,568],"Haryana 数字化转型","ICT 气候韧性","Haryana数字化转型-5476","10.5281\u002Fzenodo.23491288",{"doi":570,"openalex_id":572,"authors":573,"venue":524,"cited_by_count":83,"oa_url":521,"card":578,"direction":204,"ingested_from":205},"W7223011965",[574,576],{"name":575,"orcid":8},"Himani Rathi",{"name":577,"orcid":8},"Pardeep Kumar Duhan",{"tldr":579,"method":580,"finding":581,"direction":88,"opportunity":582},"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","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"]