[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1194":3,"related-1194":84},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":79,"slug":82,"view_count":21,"doi":8,"paper":8,"created_at":83},1194,"Climate-smart agriculture for sustainable farming: a bibliometric, TCM and ADO framework based systematic review (面向可持续农业的气候智能型农业:基于文献计量、TCM与ADO框架的系统综述)","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-8\u002F20260829000420703.htm","Frontiers in Conservation Science发表的气候智能型农业(CSA)系统综述。CSA为应对气候变化提供改善农业生产力、恢复力与碳固存的途径。文献检索自Web of Science与Scopus数据库,检索遵循PRISMA指南直至2026年3月,并通过混合方法评价工具(MMAT)进行质量评价。随后,研究采用理论-情境-方法(TCM)与前置因素-决策-结果(ADO)框架对文献进行文献计量分析,以映射CSA文献中的主题演变与关键研究问题。结果显示CSA研究正在快速扩展,碳固存、再生农业与低排放农业已形成明确的主题集群。CSA在粮食安全、农场收入与产量方面持续表现出效益,并有助于多项可持续发展目标(SDGs)。",null,"《Frontiers in Conservation Science》：Climate-smart agriculture for sustainable farming: a bibliometric, TCM, and ADO framework based systematic review\n\n引言：气候智能型农业（Climate-Smart Agriculture, CSA）为应对气候变化提供了一条改善农业生产力、恢复力与碳固存的途径。本研究对CSA实践及其在气候脆弱地区碳固存的影响进行了系统综合综述。 方法：文献检索自Web of Science与Scopus数据库，检索遵循PRISMA指南直至2026年3月，并通过混合方法评价工具（Mixed Method Appraisal Tool, MMAT）进行质量评价。随后，研究采用理论-情境-方法（Theory-Context-Methods, TCM）与前置因素-决策-结果（Antecedents-Decisions-Outcomes, ADO）框架对文献进行文献计量分析，以映射CSA文献中的主题演变与关键研究问题。 结果：结果显示CSA研究正在快速扩展，碳固存、再生农业与低排放农业已形成明确的主题集群。CSA在粮食安全、农场收入与产量方面持续表现出效益，并有助于多项可持续发展目标（Sustainable Development Goals, SDGs）。然而，重要知识与信息缺口依然存在，包括发达经济体中经验证据的缺乏、纵向与实验性研究的不足，以及对性别平等推广策略关注的缺失。 讨论：通过结合文献计量与基于理论的分析，本综述增进了关于CSA采纳与影响的理解。同时强调了针对具体情境的政策激励、强化推广服务以及定向干预的必要性，以应对规模化可持续农业转型中的资金与制度障碍。\n\n1 引言\n\n全球气候变化主要由温室气体（Greenhouse Gas, GHG）排放如二氧化碳（CO 2）驱动，对生命、经济发展、环境稳定与可持续性构成严重威胁。农业是排放的重要贡献者，也是气候变化下最具挑战性的部门之一。实证表明，经济增长、化石燃料使用、城市化与旅游业每增加1%将分别使CO 2 排放增加0.45%、1.77%、0.10%与0.04%；而可再生能源消费与农业生产力每增加1%可分别减少CO 2 排放0.66%与0.20%。农业生产依赖燃料与化肥等能源密集型投入，农业运营支出的近40%用于能源。尽管政策优先考虑燃料与交通脱碳，化肥与农药脱碳却鲜受关注。当前农业维系着全球25亿人生计，人口预计2050年达97亿，但主要谷物产量预计中叶将下降25-30%，热带与亚热带地区影响最重。气候智能型农业（CSA）作为变革框架，通过平衡土壤微生物组提升生产力、生态系统功能与碳固存。现有综述多聚焦CSA作为可持续框架改善粮食安全与生产力，同时降低排放并增强恢复力。然而，全球CSA研究演变缺乏系统概览，方法多样且未整合，农民采纳决策的关键驱动因素研究有限，未来方向结合新技术与政策建议的综述较少。本系统文献综述（Systematic Literature Review, SLR）提出四个研究问题：RQ1发表趋势；RQ2常用理论、情境与方法；RQ3关键前置因素、决策与结果；RQ4关键缺口与未来方向。\n\n2 方法论\n\n2.1 数据收集\n\n本综述基于PRISMA 2020指南，协议预先设定。由于综合文献计量与主题数据而非评价临床或农艺干预，标准PICOS框架被调整为适应文献计量综合设计：Population\u002FContext为CSA农业系统实证研究；Intervention\u002FPractice为CSA实践（如保护性农业、农林业、土壤碳管理）；Comparator为常规非CSA实践；Outcomes为碳固存、生产力、粮食安全与采纳结果；Study design为报告经验证据的同行评审文章。此调整降低偏倚风险，提高透明度。\n\n2.1.1 检索策略\n\n使用Scopus与Web of Science，检索至2026年3月15日。布尔检索式涵盖CSA、碳固存与可持续性相关术语。旨在全面捕获CSA、碳固存与可持续性（环境、经济、社会维度）交叉文献。\n\n2.1.2 检索标准\n\n筛选遵循PRISMA流程。纳入标准为英文、开放获取同行评审期刊文章。限制因作者语言能力及机构无订阅访问权限，可能造成选择偏倚。\n\n2.1.3 数据提取\n\n初获Scopus 314篇、Web of Science 197篇。经筛选去重后剩余106篇，独立标题摘要筛选后，73篇进入全文质量评价。\n\n2.1.4 质量评价\n\n使用MMAT评价，标准包括研究问题清晰性、设计适合性、抽样充分性、分析透明性与结果清晰性。73项研究均满足初始标准，保留用于最终综合。\n\n2.2 数据分析\n\n使用RStudio合并数据并进行文献计量与可视化。应用TCM框架组织讨论，识别理论、情境、变量与方法。同时采用TCM与ADO框架，TCM评估理论基础、研究情境与方法，ADO分类关键驱动（前置因素）、决策与结果。结合提供清晰理解并识别研究缺口。软件包括RStudio、Bibliography与VOSviewer。\n\n3 结果与讨论\n\n3.1 文献计量分析\n\n数据集涵盖2017-2026年，出版物输出显著增长，平均文档年龄2.96年，来源56种，年度增长率22.03%，合著普遍，国际合著占26.03%，篇均引用27.25，关键词305个。\n\n3.1.1 年度科学产出\n\n早期产出低，2020年左右上升，2024年超12篇\u002F年，2025年下降可能因索引延迟。趋势反映从偶然贡献转向持续出版流。\n\n3.1.2 国家科研合作\n\n美国、中国、欧洲国家处于网络中心，非洲国家如肯尼亚、埃塞俄比亚、津巴布韦处于边缘但建立区域联系。呈现北南设置与南南合作，反映资源控制与研究议程决定差异。\n\n3.1.3 三字段图\n\n埃塞俄比亚为突出节点，连接作者与CSA、气候变化、粮食安全等主题。CSA为核心主题，再生农业与可持续性为新兴方向。体现跨学科与全球合作。\n\n3.1.4 主题分析\n\n主题图分四象： motor themes包括小农户 farming、埃塞俄比亚、农业技术、政策、作物生产、生计，发展成熟且中心；niche themes包括中国、排放控制、土壤碳、适应，专业性强；basic themes包括农业生产、气候变化、粮食安全，基础但方法创新少；emerging or declining themes包括农业、马拉维、经济发展，密度与中心最低。结构显示政策与生计驱动，技术测量孤立。\n\n3.1.5 因子分析\n\n因子图显示维度1为创新与适应，维度2为政策、系统与生产导向。三集群：政策采纳生产、小农户系统生计、创新适应。政策与可持续性概念联系弱。\n\n3.1.6 生命周期分析\n\n逻辑增长模型拟合累计与年度出版，R2=0.883，RMSE=1.48。容量K=118，增长率r=0.40，拐点2025年初。分三阶段：出现期（2016-2019）、扩张期（2020-2025）、成熟\u002F饱和期（2025后）。未来出版增长放缓，转向应用与渐进研究。\n\n3.1.7 网络分析\n\n关键词共现网络密集，气候改变与CSA为中心节点。识别五集群：绿色（可持续性&食物系统）、蓝色（生产力、实践与分析）、红色（社会经济与地方系统）、黄色（政策、排放与管理）、紫色（决策与替代方法）。集群内聚，跨集群连接多，CSA与适应为桥梁。\n\n3.2 TCM - ADO框架\n\n3.2.1 理论\n\n创新扩散理论（Diffusion of Innovations, DOI）最常用，特征包括相对优势、兼容性、复杂性、可试性、可观察性。其他理论包括预期效用理论、随机效用理论、农业技术采纳理论、气候变化理论、可持续生计框架等。\n\n3.2.2 情境\n\n研究覆盖29国六洲，集中于发展中与欠发达国家如中国、肯尼亚、埃塞俄比亚。背景包括性别约束、低回报、生态挑战、小农户脆弱性、土壤健康指标。\n\n3.2.3 方法\n\n方法多样：定量多用结构化问卷、回归模型（OLS、MESR、METE）、软件SPSS、STATA；定性用半结构化访谈、NVivo等；混合方法结合调查与访谈。建议未来用面板数据与社会心理因素评估。\n\n3.2.4 前置因素\n\n3.2.4.1 社会人口因素\n\n年龄、性别、教育、经验、家庭规模、劳动力、风险态度、移动设备访问等影响采纳。\n\n3.2.4.2 资源禀赋因素\n\n土地规模与权属、牲畜与资产、信贷与财富、投入与交易成本决定可行性。\n\n3.2.4.3 信息与制度因素\n\n推广服务、气候信息服务、非政府组织（NGO）项目、灌溉、数字金融与ICT支持采纳。\n\n3.2.4.4 环境因素\n\n土壤肥力、降雨变率、温度变化、气候冲击、水分可用性影响实践选择与需求。\n\n3.2.4.5 技术因素\n\nCSA为技术集群（保护性农业、农林业、改良品种等），感知属性（相对优势等）、劳动需求、成本回报、互补与权衡影响决策。\n\n3.2.5 决策\n\n3.2.5.1 采纳决策\n\n农民接受或拒绝CSA，投资改良种子、有机肥、灌溉等，放弃传统实践。\n\n3.2.5.2 技术选择\n\n从间作、免耕、覆盖等多实践中选特定组合，基于资源、感知利益与当地条件。\n\n3.2.5.3 采纳强度\n\n以技术数量、土地比例、投资衡量整合程度。\n\n3.2.5.4 适应与风险管理决策\n\n作物多样化、抗旱品种、改变播期、水土保持等主动韧性策略。","Frontiers in Conservation Science 2026","2026-08-29T08:00:00Z","论文",10,false,75,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,14,3,1,"系统综述梳理CSA研究脉络与缺口，对农业可持续转型有参考价值，但时效性一般。",[24],{"name":10,"url":6},[26,27,28,29,30],"系统综述","农业政策","可持续农业","气候智能农业","碳固存",{"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",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":47},[44,53,59,66,73],{"code":45,"score":46,"supported":47,"title":48,"abstract":51,"tags":52},"I7",20,true,[49,50],"文献计量","bibliometric",[49],[26],{"code":32,"score":54,"supported":47,"title":55,"abstract":56,"tags":58},12,[28],[57],"再生农业",[28],{"code":60,"score":61,"supported":47,"title":62,"abstract":64,"tags":65},"I1",8,[63],"smart agriculture",[],[],{"code":67,"score":68,"supported":47,"title":69,"abstract":70,"tags":72},"H7",4,[],[71],"气候变化",[29],{"code":74,"score":20,"supported":47,"title":75,"abstract":76,"tags":78},"A8",[],[77],"粮食安全",[],[80,81],"气候智能农业 可持续农业 农业政策 系统综述","气候智能农业 可持续农业","气候智能农业可持续农业农业政策系统综述-1194","2026-09-01T00:03:40.346741Z",{"total":85,"page":21,"page_size":85,"items":86},6,[87,152,215,312,388,490],{"id":88,"title":89,"url":90,"summary":91,"summary_zh":92,"content":8,"source_name":93,"source_url":90,"published_at":94,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":95,"score_detail":96,"sources":101,"tags":103,"primary_topic":108,"secondary_topics":109,"classification":110,"search_phrases":123,"slug":126,"view_count":21,"doi":127,"paper":128,"created_at":151},4053,"The parent effect and patriarchal gatekeeping: familial dynamics shaping youth sustainable agriculture entrepreneurship pathways in Zimbabwe","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1888230","Inroduction Youth sustainable agricultural entrepreneurship (SAE) in Sub-Saharan Africa is weakened not only by structural constraints but by familial dynamics that have received limited analytical attention. This study examines youth perceptions of how parental attitudes, resource gatekeeping, and patriarchal norms shape youth aspirations and entrepreneurial pathways in Hwedza District, Zimbabwe. Its central argument is that the parent effect - conceptualised as the ways youth perceive parental attitudes, resource control, and gatekeeping as shaping their agricultural entrepreneurship - constitutes a primary household-level constraint on youth SAE. Patriarchal gatekeeping is analysed as the gendered dimension of this parent effect, while the psychology of provisionality and the success tax are presented as supporting constructs specifying the mechanisms through which it operates. Methods The research employed an interpretivist case-study framework, relying on in-depth interviews and focus-group discussions with 32 youth participants and 15 key stakeholders across four wards. Data were analysed using Reflexive Thematic Analysis, guided by Positive Youth Development (PYD) Theory and Hart’s Ladder of Participation, adapted to the household domain as the analytical lens for examining how youth report these dynamics. Results Youth accounts indicate that parents are perceived as gatekeepers in resource allocations, and youth describe anticipatory discouragement from farming. These practices were reported by youth participants as confining them to the lower rungs of household participation, which they associated with erosion of competence, confidence, and connection. Discussion Based on youth accounts, the study suggests that youth agripreneurship interventions cannot treat the household as a passive delivery unit. The research contributes by centring the family as a primary arena of entrepreneurial contestation and by demonstrating the household as a participatory ladder where developmental outcomes are perceived by youth to be conditioned by parental gatekeeping. Implications point to household-centred interventions, formalised family land stewardship agreements, and youth-targeted financial instruments that bypass parental control.","引言 撒哈拉以南非洲的青年可持续农业创业（SAE）不仅受到结构性制约的削弱，还受到家庭动态的影响，而后者所获得的分析关注十分有限。本研究考察了津巴布韦Hwedza地区青年对父母态度、资源守门和父权制规范如何塑造其抱负与创业路径的感知。其核心论点是，父母效应——即青年所感知的父母态度、资源控制和守门行为对其农业创业的塑造方式——构成了家庭层面对青年可持续农业创业的首要制约。父权制守门被分析为这一父母效应的性别维度，而临时性心理与成功税则作为支撑性构念，用以具体说明其运作机制。方法 本研究采用解释主义案例研究框架，对四个选区的32名青年参与者和15名关键利益相关者进行了深度访谈和焦点小组讨论。数据分析采用反思性主题分析法，以积极青年发展（PYD）理论和哈特参与阶梯为指导，并将后者调适至家庭领域，作为分析透镜，用以考察青年如何报告这些动态。结果 青年的叙述表明，父母被视为资源分配中的守门人，青年描述了对务农的预期性劝阻。青年参与者报告称，这些做法将他们限制在家庭参与的低层级，他们将其与能力、信心和联结感的侵蚀联系在一起。讨论 基于青年的叙述，本研究表明，青年农业创业干预不能将家庭视为被动的执行单元。本研究的贡献在于将家庭置于创业争夺的首要场域，并揭示家庭作为一个参与阶梯，青年感知到其发展结果受到父母守门行为的制约。其启示指向以家庭为中心的干预措施、正式化的家庭土地管理协议，以及绕过父母控制的面向青年的金融工具。","Frontiers in Sustainable Food Systems","2026-10-02T00:00:00Z",67,{"impact":61,"substance":46,"depth":97,"authority":98,"freshness":99,"relevant":21,"comment":100},17,13,9,"以津巴布韦案例揭示家庭父权与资源把关对青年农业创业的抑制机制，方法扎实、结论有新意，但属区域微观研究，公共影响有限。",[102],{"name":93,"url":90},[28,104,105,106,107],"津巴布韦","农户生计","青年农业创业","性别规范",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":111},{"candidates":112,"agricultural_evidence":47},[113,118],{"code":32,"score":54,"supported":47,"title":114,"abstract":116,"tags":117},[115],"sustainable agriculture",[28],[28],{"code":119,"score":21,"supported":14,"title":120,"abstract":121,"tags":122},"G6",[],[],[105],[124,125],"青年农业创业 可持续农业 农户生计 性别规范","青年农业创业 可持续农业","青年农业创业可持续农业农户生计性别规范-4053","10.3389\u002Ffsufs.2026.1888230",{"doi":127,"openalex_id":129,"authors":130,"venue":93,"cited_by_count":142,"oa_url":143,"card":144,"direction":148,"ingested_from":150},"W7216465950",[131,134,136,139],{"name":132,"orcid":133},"Tonderai James Nyagwaya","https:\u002F\u002Forcid.org\u002F0009-0004-2457-8023",{"name":135,"orcid":8},"Matthew Marembo",{"name":137,"orcid":138},"Peter Mukarumbwa","https:\u002F\u002Forcid.org\u002F0000-0002-2387-9236",{"name":140,"orcid":141},"Precious Kuziva Hove","https:\u002F\u002Forcid.org\u002F0000-0001-5914-7531",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1888230\u002Fpdf",{"tldr":145,"method":146,"finding":147,"direction":148,"opportunity":149},"研究津巴布韦青年视角下父母态度与父权把关如何制约其可持续农业创业路径。","解释主义案例研究，32名青年与15名利益相关者深度访谈及焦点小组，反思性主题分析","父母被视为资源把关者，青年预期性受挫，被限制在家庭参与低层级，削弱能力与信心。","数字乡村与农业信息化","可探索家庭层面干预与青年专属金融工具如何绕过父母控制，促进农业创业参与。","openalex","2026-10-03T23:30:08.285408Z",{"id":153,"title":154,"url":155,"summary":156,"summary_zh":157,"content":8,"source_name":158,"source_url":155,"published_at":159,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":160,"score_detail":161,"sources":164,"tags":166,"primary_topic":170,"secondary_topics":171,"classification":172,"search_phrases":191,"slug":194,"view_count":20,"doi":195,"paper":196,"created_at":214},3283,"INNOVATIVE APPROACHES TO SUSTAINABLE AGRICULTURE: STRATEGY FOR EMPOWERING WOMEN FARMERS IN RESOURCE LIMITED RURAL COMMUNITIES IN SLEMAN, INDONESIA","https:\u002F\u002Fdoi.org\u002F10.20961\u002Fsepa.v23i2.113220","Sustainable agriculture has become a critical framework for addressing food security challenges, particularly in resource-limited rural communities where women farmer groups play a pivotal yet underexplored role in sustaining local food systems. This research aims to examine the role of the Bukle Women Farmer Group (WFG Bukle) in advancing sustainable agriculture through strategic innovations despite resource limitations. Conducted in Klegung Hamlet, Donokerto Village, Sleman Regency, this study adopts a mixed-method case study approach involving eleven purposively selected key informants: one group leader, one deputy leader, seven active members of WFG Bukle, and two non-member community participants. Data were collected through surveys, semi-structured interviews, field observations, and Focus Group Discussions (FGDs) to evaluate farming practices and land use. The findings place WFG Bukle in Quadrant IV of the Internal-External (IE) matrix, indicating strong internal potential (IFE = 3.04) alongside moderate external challenges (EFE = 2.51). Through SWOT-based strategies and a Quantitative Strategic Planning Matrix (QSPM), three priority strategies emerged: empowering women in sustainable farm management (TAS = 5.49), strengthening collaboration with academic and governmental institutions (TAS = 5.09), and improving financial access for farmer groups (TAS = 5.00). The study highlights the importance of eco-friendly farming, technological access, and market linkages in enhancing food security and economic resilience. Strengthening women's roles in decision-making and financial management is crucial for sustainable agriculture, underscoring the need for gender-inclusive policies and cross-sector collaboration to support long-term rural development.","可持续农业已成为应对粮食安全挑战的关键框架，在资源有限的农村社区尤为如此，在这些社区中，女性农民小组在维持地方粮食系统方面发挥着关键但尚未被充分探索的作用。本研究旨在考察布克勒女性农民小组（WFG Bukle）在资源有限的条件下通过战略创新推动可持续农业发展的作用。研究在斯莱曼县多诺克托村克莱贡哈姆雷特开展，采用混合方法案例研究，涉及十一名有目的选取的关键信息提供者：一名小组组长、一名副组长、七名WFG Bukle活跃成员以及两名非成员社区参与者。数据通过问卷调查、半结构化访谈、实地观察和焦点小组讨论（FGD）收集，以评估耕作实践和土地利用情况。研究结果表明，WFG Bukle位于内部-外部（IE）矩阵第四象限，表明其具有较强的内部潜力（IFE = 3.04），同时面临中等程度的外部挑战（EFE = 2.51）。通过基于SWOT的策略和定量战略规划矩阵（QSPM），研究得出三项优先策略：赋权女性参与可持续农场管理（TAS = 5.49）、加强与学术机构和政府机构的合作（TAS = 5.09）、改善农民小组的融资渠道（TAS = 5.00）。本研究强调了生态友好型耕作、技术获取和市场联结在增强粮食安全和经济韧性方面的重要性。强化女性在决策和财务管理中的作用对可持续农业至关重要，凸显了制定性别包容政策和开展跨部门合作以支持农村长期发展的必要性。","SEPA Jurnal Sosial Ekonomi Pertanian dan Agribisnis","2026-09-23T00:00:00Z",63,{"impact":61,"substance":17,"depth":162,"authority":54,"freshness":13,"relevant":21,"comment":163},15,"以印尼Sleman地区女性农户组织为案例，用IE矩阵、SWOT与QSPM提出可持续农业赋权策略，方法规范但属地方性小样本研究，公共影响有限。",[165],{"name":158,"url":155},[77,28,167,168,169],"农村发展","女性农户","SWOT分析",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":173},{"candidates":174,"agricultural_evidence":47},[175,179,185],{"code":32,"score":162,"supported":47,"title":176,"abstract":177,"tags":178},[115],[28,115],[28],{"code":74,"score":180,"supported":47,"title":181,"abstract":182,"tags":184},7,[],[77,183],"food security",[77],{"code":186,"score":68,"supported":47,"title":187,"abstract":188,"tags":190},"G",[],[189],"rural development",[167],[192,193],"Sleman 女性农户 可持续农业","印尼 妇女农户组织 粮食安全","Sleman女性农户可持续农业-3283","10.20961\u002Fsepa.v23i2.113220",{"doi":195,"openalex_id":197,"authors":198,"venue":158,"cited_by_count":142,"oa_url":155,"card":208,"direction":213,"ingested_from":150},"W7214033421",[199,202,204,206],{"name":200,"orcid":201},"Fransicus Arifin","https:\u002F\u002Forcid.org\u002F0000-0003-0998-1290",{"name":203,"orcid":8},"Latifa Nuraini",{"name":205,"orcid":8},"Eko Wahyono",{"name":207,"orcid":8},"Akame Cyril Njume",{"tldr":209,"method":210,"finding":211,"direction":148,"opportunity":212},"研究印尼Sleman农村妇女农民小组如何通过战略创新推动可持续农业。","混合方法案例研究，含访谈、观察、FGD及IE矩阵、SWOT、QSPM分析。","小组内部潜力强但外部挑战中等，优先策略为妇女赋权、机构合作与融资改善。","可探索数字工具与市场链接如何赋能资源受限地区妇女农民组织，弥补技术获取与性别包容政策研究空白。","农业人工智能与决策模型","2026-09-23T23:30:38.124265Z",{"id":216,"title":217,"url":218,"summary":219,"summary_zh":220,"content":8,"source_name":221,"source_url":218,"published_at":222,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":223,"score_detail":224,"sources":226,"tags":228,"primary_topic":233,"secondary_topics":239,"classification":246,"search_phrases":285,"slug":288,"view_count":68,"doi":289,"paper":290,"created_at":311},2659,"Application of Remote Sensing and Machine Learning in Sustainable Agriculture","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu18189472","Global agriculture is undergoing a period of profound transformation, driven by the need to increase food production in a context characterized by climate change, the degradation of natural resources and increasing pressure on agricultural ecosystems [...]","全球农业正经历一场深刻变革，其驱动力是在气候变化、自然资源退化以及农业生态系统压力日益增大的背景下提高粮食产量的需求。[...]","Sustainability","2026-09-16T00:00:00Z",77,{"impact":17,"substance":46,"depth":97,"authority":98,"freshness":99,"relevant":21,"comment":225},"发表于核心期刊的遥感与机器学习综述，方法视角新颖、时效性强，对智慧农业技术路线有参考价值，值得进入每日精选。",[227],{"name":221,"url":218},[229,230,231,28,232],"智慧农业","农业人工智能","机器学习","遥感",{"code":234,"slug":235,"name":236,"path":237,"parent_code":238},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",[240,241],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"code":242,"slug":243,"name":244,"path":245,"parent_code":238},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"status":39,"locked":14,"version":40,"method":41,"evidence":247},{"candidates":248,"agricultural_evidence":47},[249,254,258,263,268,275,281],{"code":234,"score":13,"supported":47,"title":250,"abstract":252,"tags":253},[251],"machine learning",[],[230,231],{"code":32,"score":99,"supported":47,"title":255,"abstract":256,"tags":257},[115],[],[28],{"code":242,"score":99,"supported":47,"title":259,"abstract":261,"tags":262},[260],"remote sensing",[],[232],{"code":67,"score":85,"supported":47,"title":264,"abstract":265,"tags":267},[],[71,266],"climate change",[],{"code":269,"score":85,"supported":47,"title":270,"abstract":271,"tags":274},"J3",[],[272,273],"全球农业","global agriculture",[],{"code":276,"score":20,"supported":47,"title":277,"abstract":278,"tags":280},"H6",[],[279],"农业生态",[],{"code":60,"score":21,"supported":14,"title":282,"abstract":283,"tags":284},[],[],[229],[286,287],"农业人工智能 可持续农业 智慧农业 机器学习","农业人工智能 可持续农业","农业人工智能可持续农业智慧农业机器学习-2659","10.3390\u002Fsu18189472",{"doi":289,"openalex_id":291,"authors":292,"venue":221,"cited_by_count":142,"oa_url":218,"card":305,"direction":309,"ingested_from":150},"W7213301703",[293,296,299,302],{"name":294,"orcid":295},"Mihai Valentin Herbei","https:\u002F\u002Forcid.org\u002F0000-0002-3884-3658",{"name":297,"orcid":298},"Ana-Cornelia Badea","https:\u002F\u002Forcid.org\u002F0000-0003-4521-5403",{"name":300,"orcid":301},"Aleksandar Ristić","https:\u002F\u002Forcid.org\u002F0000-0003-0979-3345",{"name":303,"orcid":304},"Paul Sestraș","https:\u002F\u002Forcid.org\u002F0000-0002-8554-0924",{"tldr":306,"method":307,"finding":308,"direction":309,"opportunity":310},"综述遥感与机器学习在可持续农业中的应用现状与前景。","综述遥感数据与机器学习方法在农业中的应用。","遥感结合机器学习可提升农业监测与可持续管理能力。","农业遥感与作物表型","可探索多源遥感与可解释机器学习融合，用于小农户精准决策与碳核算。","2026-09-16T23:30:28.640661Z",{"id":313,"title":314,"url":315,"summary":316,"summary_zh":317,"content":8,"source_name":318,"source_url":315,"published_at":319,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":320,"score_detail":321,"sources":323,"tags":325,"primary_topic":330,"secondary_topics":331,"classification":332,"search_phrases":370,"slug":373,"view_count":21,"doi":374,"paper":375,"created_at":387},2146,"Carbon-Integrated Climate-Smart Finance for Sustainable Agriculture, Livelihoods & Nature-Based Solutions","https:\u002F\u002Fdoi.org\u002F10.22214\u002Fijraset.2026.84829","Climate-smart agriculture and sustainable rural livelihoods are central to strengthening climate resilience, food security, biodiversity conservation, and sustainable development. Despite substantial investments by governments, development agencies, banks, CSR programmes, and private investors, project appraisal largely relies on conventional indicators such as IRR, NPV, BCR, and ROI, while carbon benefits are typically assessed separately, limiting their integration into investment planning. The Climate Smart Financial Model (CSFM) developed by Srivastava (2026) integrates climate vulnerability, governance, land tenure, water availability, adaptive capacity, and agricultural productivity into financial sustainability assessment. This research proposes a Carbon-Integrated Climate Smart Financial Model (CI-CSFM) that incorporates expected carbon revenue as an endogenous investment variable. It uses methodology-specific ex-ante estimates of eligible\u002Fissuable tCO₂e, expected carbon price, and issuance probability, while treating verified or issued credits as subsequent realized revenue. The CI-CSFM is a financial integration framework, not a carbon quantification methodology. Carbon reductions\u002Fremovals are quantified using applicable approved methodologies and project-specific data, then incorporated into financial appraisal. The framework also integrates additionality, permanence, leakage, monitoring quality, and verification\u002Fissuance risk, and proposes an Integrated Climate Investment Sustainability Index (ICISI) for comparative investment prioritization.","气候智慧型农业与可持续农村生计对于增强气候韧性、粮食安全、生物多样性保护和可持续发展至关重要。尽管政府、发展机构、银行、企业社会责任项目以及私人投资者已投入大量资金，但项目评估在很大程度上仍依赖内部收益率（IRR）、净现值（NPV）、效益成本比（BCR）和投资回报率（ROI）等传统指标，而碳效益通常被单独评估，限制了其纳入投资规划。Srivastava（2026）开发的气候智慧型财务模型（CSFM）将气候脆弱性、治理、土地权属、水资源可得性、适应能力和农业生产力纳入财务可持续性评估。本研究提出碳整合气候智慧型财务模型（CI-CSFM），将预期碳收益作为内生投资变量纳入其中。该模型采用特定方法学下合格\u002F可签发tCO₂e的事前估算、预期碳价格和签发概率，同时将已核证或已签发的碳信用视为后续实现的收益。CI-CSFM是一个财务整合框架，而非碳量化方法学。碳减排\u002F清除量采用适用的获批方法学和项目特定数据进行量化，随后纳入财务评估。该框架还整合了额外性、永久性、泄漏、监测质量以及核证\u002F签发风险，并提出综合气候投资可持续性指数（ICISI），用于比较性投资优先排序。","International Journal for Research in Applied Science and Engineering Technology","2026-09-10T00:00:00Z",69,{"impact":54,"substance":46,"depth":97,"authority":54,"freshness":61,"relevant":21,"comment":322},"提出碳收益内生化的气候智慧型农业金融评估框架，方法有创新但属学术论文，对国内农业信息化实践影响有限。",[324],{"name":318,"url":315},[28,326,327,328,329],"气候智慧农业","农业金融","农业碳汇","碳交易",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":333},{"candidates":334,"agricultural_evidence":47},[335,339,343,349,354,360,364],{"code":32,"score":99,"supported":47,"title":336,"abstract":337,"tags":338},[115],[],[28],{"code":74,"score":85,"supported":47,"title":340,"abstract":341,"tags":342},[],[77,183],[],{"code":276,"score":85,"supported":47,"title":344,"abstract":345,"tags":348},[],[346,347],"生物多样性","biodiversity",[],{"code":67,"score":68,"supported":47,"title":350,"abstract":351,"tags":353},[],[352],"climate resilience",[326],{"code":355,"score":20,"supported":47,"title":356,"abstract":357,"tags":359},"H3",[],[358],"水资源",[],{"code":60,"score":20,"supported":47,"title":361,"abstract":362,"tags":363},[],[63],[],{"code":365,"score":366,"supported":14,"title":367,"abstract":368,"tags":369},"H4",2,[],[],[328,329],[371,372],"气候智慧农业 可持续农业 农业碳汇 农业金融","气候智慧农业 可持续农业","气候智慧农业可持续农业农业碳汇农业金融-2146","10.22214\u002Fijraset.2026.84829",{"doi":374,"openalex_id":376,"authors":377,"venue":318,"cited_by_count":142,"oa_url":315,"card":380,"direction":386,"ingested_from":150},"W7212148295",[378],{"name":379,"orcid":8},"Deepak Srivastava",{"tldr":381,"method":382,"finding":383,"direction":384,"opportunity":385},"提出碳整合气候智慧金融模型，将碳收益作为内生投资变量纳入农业项目财务评估。","构建CI-CSFM框架，用事前碳减排量、碳价与签发概率估算碳收入，并设ICISI","碳收益可内生融入财务评估，提升气候智慧农业投资决策的整合性与可比性。","农业绿色发展与碳","可探索碳收益不确定性、签发风险与农业项目财务指标耦合的实证与工具化研究。","智慧农业 \u002F 农业物联网","2026-09-11T23:30:10.587397Z",{"id":389,"title":390,"url":391,"summary":392,"summary_zh":393,"content":8,"source_name":394,"source_url":391,"published_at":395,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":396,"score_detail":397,"sources":400,"tags":402,"primary_topic":406,"secondary_topics":411,"classification":418,"search_phrases":472,"slug":475,"view_count":366,"doi":476,"paper":477,"created_at":489},1305,"IoT-Based Soil Condition Monitoring System for Supporting Precision and Sustainable Agriculture in West Java","https:\u002F\u002Fdoi.org\u002F10.55981\u002Fjet.807","West Java Province is one of the largest horticultural producers in Indonesia. The horticulture subsector in West Java covers tens of thousands of hectares of farmland and contributes approximately 1.8% to the province’s total Gross Regional Domestic Product (GRDP). However, this sector faces serious challenges. Climate change has increased the frequency of droughts and floods, disrupting horticultural production. In addition, soil fertility has declined due to unsustainable farming practices; many agricultural lands in West Java contain less than 2% organic matter as a result of long-term chemical fertilizer use. These challenges have led to decreased productivity and threaten the sustainability of horticultural farming. Precision agriculture emerges as a solution to these issues. This concept leverages IoT technologies such as the ESP32 microcontroller with SPIFFS, soil sensors, and a web-based dashboard to monitor land conditions in real time and manage inputs more efficiently. The IoT-based soil monitoring system developed in this study was tested in a farmer’s yard in Pameungpeuk Subdistrict, Garut. The results demonstrated practical benefits, including improved irrigation efficiency (up to ~30% water savings) and reduced risk of crop losses through early detection of drought conditions. Moreover, the application of IoT in potato cultivation in West Java has been shown to double seed tuber yields from 15,000 to 30,000 tubers. These findings are consistent with regional policy directions, as reflected in the West Java Regional Medium-Term Development Plan (RPJMD) and the “Petani Milenial” (Millennial Farmers) program, which promote sustainable agricultural modernization through IoT-based technologies to enhance the productivity of young farmers.","西爪哇省是印度尼西亚最大的园艺生产地之一。该省的园艺分部门覆盖数万公顷农田，约占全省地区生产总值（GRDP）总额的1.8%。然而，该部门面临严峻挑战。气候变化增加了干旱和洪水的发生频率，扰乱了园艺生产。此外，由于不可持续的耕作方式，土壤肥力下降；长期使用化肥导致西爪哇许多农业用地的有机质含量低于2%。这些挑战导致生产力下降，并威胁到园艺农业的可持续性。精准农业应运而生，成为解决这些问题的方案。这一概念利用物联网（IoT）技术，如搭载SPIFFS的ESP32微控制器、土壤传感器和基于网页的仪表盘，实时监测土地状况并更高效地管理投入。本研究中开发的基于物联网的土壤监测系统在加鲁特县帕梅翁佩乌克分区的一位农民庭院中进行了测试。结果表明其具有实际效益，包括提高灌溉效率（节水约30%）以及通过早期检测干旱状况降低作物损失风险。此外，物联网在西爪哇马铃薯种植中的应用已被证明可使种薯产量翻倍，从每公顷15,000个增加到30,000个。这些发现与区域政策方向一致，正如西爪哇省中期发展规划（RPJMD）和“千禧农民”计划所反映的那样，这些政策通过基于物联网的技术促进可持续农业现代化，以提高年轻农民的生产力。","Jurnal Elektronika dan Telekomunikasi","2026-08-31T00:00:00Z",61,{"impact":162,"substance":17,"depth":398,"authority":13,"freshness":366,"relevant":21,"comment":399},16,"论文展示IoT土壤监测系统在西爪哇的应用，节水30%并提升马铃薯产量，对区域精准农业有参考价值，但时效性较低。",[401],{"name":394,"url":391},[229,403,404,28,405],"物联网","精准农业","土壤监测",{"code":407,"slug":408,"name":409,"path":410,"parent_code":238},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot",[412,417],{"code":413,"slug":414,"name":415,"path":416,"parent_code":36},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":419},{"candidates":420,"agricultural_evidence":47},[421,426,431,435,441,446,453,459,466],{"code":407,"score":162,"supported":47,"title":422,"abstract":424,"tags":425},[423],"IoT",[403,423],[403],{"code":413,"score":19,"supported":47,"title":427,"abstract":428,"tags":430},[414],[429,414],"土壤",[],{"code":32,"score":54,"supported":47,"title":432,"abstract":433,"tags":434},[115],[28],[28],{"code":67,"score":99,"supported":47,"title":436,"abstract":437,"tags":440},[],[71,438,266,439],"干旱","drought",[],{"code":60,"score":61,"supported":47,"title":442,"abstract":443,"tags":445},[],[404,444],"precision agriculture",[229,404],{"code":447,"score":85,"supported":47,"title":448,"abstract":449,"tags":452},"A5",[],[450,451],"马铃薯","potato",[],{"code":355,"score":85,"supported":47,"title":454,"abstract":455,"tags":458},[],[456,457],"灌溉","irrigation",[],{"code":460,"score":85,"supported":47,"title":461,"abstract":462,"tags":465},"J2",[],[463,464],"农业现代化","agricultural modernization",[],{"code":467,"score":20,"supported":47,"title":468,"abstract":469,"tags":471},"F3",[],[470],"fertilizer",[],[473,474],"可持续农业 土壤监测 智慧农业 精准农业","可持续农业 土壤监测","可持续农业土壤监测智慧农业精准农业-1305","10.55981\u002Fjet.807",{"doi":476,"openalex_id":478,"authors":479,"venue":394,"cited_by_count":142,"oa_url":391,"card":484,"direction":386,"ingested_from":150},"W7204810936",[480,482],{"name":481,"orcid":8},"Ayu Latifah",{"name":483,"orcid":8},"Dendi Ardimansah",{"tldr":485,"method":486,"finding":487,"direction":386,"opportunity":488},"开发基于IoT的土壤监测系统，支持西爪哇精准可持续农业，提高灌溉效率并增产。","使用ESP32微控制器、SPIFFS、土壤传感器和Web仪表盘构建实时监测系统。","系统节省约30%灌溉用水，马铃薯种薯产量翻倍至3万块，符合区域政策。","可扩展至更多作物和地区，结合机器学习预测土壤养分，优化施肥策略，提升系统普适性。","2026-09-01T23:30:12.797772Z",{"id":491,"title":492,"url":493,"summary":494,"summary_zh":8,"content":8,"source_name":495,"source_url":493,"published_at":496,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":497,"score_detail":498,"sources":500,"tags":502,"primary_topic":504,"secondary_topics":507,"classification":509,"search_phrases":520,"slug":523,"view_count":20,"doi":524,"paper":525,"created_at":539},1272,"Biodiversity isn’t measured in tons: Making sense of nature in the context of sustainable agriculture","https:\u002F\u002Fdoi.org\u002F10.32942\u002Fx28t1r","In this review, we articulate several important, but often overlooked concepts, trends, and perspectives in the biodiversity monitoring space, specifically in the context of transforming agriculture and the wider food system. We describe the common approaches to biodiversity monitoring — those focused on species, communities, functions, habitats, etc — and the methods and tools commonly used to track change. We then describe a set of fundamental ecological principles that are often overlooked by practitioners entering the agrobiodiversity space for the first time, particularly those with technical, industrial, and policy expertise in agriculture-adjacent fields who seek to incorporate biodiversity into their research and operations. For these practitioners, we discuss the importance of abundance, the timelines along which population trends can be quantitatively established, the geographical scales at which ecological interactions play out, and the implications therein for anyone looking to monitor the effect of farm management practices. We attempt to describe the complexities that arise when navigating the intersection of ecological, agricultural, and social systems, highlighting the multiple sets of voices, values, and priorities that come into play in this space. From intergovernmental panels to individual farmers, the agrobiodiversity space holds a multitude of arenas of where decisions are made. We raise the question of “why, how, and for whom are we monitoring biodiversity?” to encourage practitioners new to this space to consider the implications of their approach. Finally, we discuss the conflicts and trade-offs that emerge in the intersection of productivity, profits, carbon and biodiversity, and explore the challenges in finding a balance between them in the transition toward a more sustainable form of agriculture.","OpenAlex","2026-08-28T00:00:00Z",73,{"impact":17,"substance":18,"depth":17,"authority":54,"freshness":20,"relevant":21,"comment":499},"综述性论文，系统梳理农业生物多样性监测的概念、方法与挑战，对农业可持续发展有参考价值。",[501],{"name":495,"url":493},[28,279,346,503],"监测方法",{"code":276,"slug":347,"name":505,"path":506,"parent_code":36},"生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity",[508],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":14,"version":40,"method":41,"evidence":510},{"candidates":511,"agricultural_evidence":47},[512,516],{"code":276,"score":98,"supported":47,"title":513,"abstract":514,"tags":515},[347],[347],[279,346],{"code":32,"score":99,"supported":47,"title":517,"abstract":518,"tags":519},[115],[],[28],[521,522],"可持续农业 生物多样性 农业生态 监测方法","可持续农业 生物多样性","可持续农业生物多样性农业生态监测方法-1272","10.32942\u002Fx28t1r",{"doi":524,"openalex_id":526,"authors":527,"venue":8,"cited_by_count":142,"oa_url":533,"card":534,"direction":386,"ingested_from":150},"W7204518041",[528,531],{"name":529,"orcid":530},"Iqbal Singh Bhalla","https:\u002F\u002Forcid.org\u002F0000-0002-5611-8361",{"name":532,"orcid":8},"Philip Loring","https:\u002F\u002Fecoevorxiv.org\u002Frepository\u002Fobject\u002F14661\u002Fdownload\u002F25513\u002F",{"tldr":535,"method":536,"finding":537,"direction":384,"opportunity":538},"综述农业生物多样性监测的概念、方法、原则及权衡，强调监测目的与尺度。","综述常见监测方法（物种、群落等）及工具，讨论生态原则与多系统交叉。","监测需关注丰度、时间尺度、地理尺度，并权衡生产力、碳与生物多样性。","可研究农业管理措施对生物多样性的多尺度影响，及权衡碳与生物多样性的决策模型。","2026-09-01T04:03:13.203738Z"]