[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4685":3,"related-4685":113},{"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":45,"search_phrases":79,"slug":82,"view_count":22,"doi":83,"paper":84,"created_at":112},4685,"Farm management and yield gaps in Robusta (Coffea canephora) coffee production across the three largest Asian origins","https:\u002F\u002Fdoi.org\u002F10.25186\u002F.v21i.2515","Robusta coffee is a key livelihood crop in Asia, and its productivity differs largely across main regions. However, the factors underlying these differences remain limited. This study examines yield variation across Vietnam, Indonesia, and India, the three largest Robusta-producing countries in Asia. Using 13,525 farm-level surveys, the study applied descriptive statistics, correlation analysis, and regression-based threshold methods to assess the relationships between yield and key management practices. The results show that median yields reach 2,643 kg GBE ha⁻¹ in Vietnam, compared with 1,359 kg ha⁻¹ in India-Karnataka, 509 kg ha⁻¹ in India-Kerala, and 383 kg ha⁻¹ in Indonesia. Correlation analysis shows that inorganic fertilizer use is positively associated with yield across the three countries, with coefficients ranging from 0.326 to 0.408. Pruning practices are also associated with higher yields in several regions, whereas shade levels are negatively related to yield in Vietnam. These findings indicate that yield gaps in Asian Robusta systems arise from different constraints across countries. Input scarcity appears to constrain productivity in Indonesia, while inefficiencies in nutrient management and structural characteristics of production systems play a larger role in Vietnam and India. The results highlight the need for context-specific strategies to improve productivity and sustainability in Robusta coffee production. Key words: Yield differences; fertilizer efficiency; shade management; plantation rejuvenation; Robusta coffee.","罗布斯塔咖啡（Robusta coffee）是亚洲重要的生计作物，但其生产力在主产区之间差异显著。然而，造成这些差异的因素仍缺乏充分研究。本研究考察了亚洲三大罗布斯塔咖啡生产国——越南、印度尼西亚和印度之间的产量差异。研究利用13,525份农场层面调查数据，采用描述性统计、相关分析和基于回归的阈值方法，评估产量与关键管理措施之间的关系。结果表明，越南的产量中位数达到2,643 kg GBE ha⁻¹，而印度卡纳塔克邦为1,359 kg ha⁻¹，印度喀拉拉邦为509 kg ha⁻¹，印度尼西亚为383 kg ha⁻¹。相关分析显示，无机肥料施用与三国产量均呈正相关，系数范围为0.326至0.408。修剪措施在若干地区也与较高产量相关，而越南的遮阴水平与产量呈负相关。这些发现表明，亚洲罗布斯塔咖啡系统的产量差距源于各国不同的限制因素。投入品短缺似乎制约了印度尼西亚的生产力，而养分管理效率低下和生产系统的结构性特征在越南和印度发挥了更大作用。研究结果凸显了制定因地制宜策略以提高罗布斯塔咖啡生产力和可持续性的必要性。关键词：产量差异；肥料效率；遮阴管理；种植园更新；罗布斯塔咖啡。",null,"Coffee Science","2026-10-09T00:00:00Z","论文",10,false,77,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,22,18,13,8,1,"基于13,525份农户调查揭示亚洲三大罗布斯塔产区的产量差与管理约束，数据规模大、结论有区域针对性，对咖啡产业信息化与精准施肥有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"小农户","咖啡产业","施肥管理","产量差","遮荫栽培",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"B3","tea-coffee","茶叶与咖啡","\u002Ftopic\u002Fhorticulture\u002Ftea-coffee","B",[39],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","F",{"status":46,"locked":14,"version":47,"method":48,"evidence":49},"classified","2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":53},[51,59,67,74],{"code":33,"score":52,"supported":53,"title":54,"abstract":56,"tags":58},15,true,[55],"coffee",[57,55],"咖啡",[28],{"code":40,"score":60,"supported":53,"title":61,"abstract":62,"tags":66},9,[],[63,64,65],"肥料","养分管理","fertilizer",[],{"code":68,"score":69,"supported":53,"title":70,"abstract":71,"tags":73},"I3",3,[],[72],"估产",[],{"code":75,"score":22,"supported":14,"title":76,"abstract":77,"tags":78},"G2",[],[],[27],[80,81],"越南 印尼 印度 罗布斯塔 咖啡","罗布斯塔 咖啡 产量差 施肥","越南印尼印度罗布斯塔咖啡-4685","10.25186\u002F.v21i.2515",{"doi":83,"openalex_id":85,"authors":86,"venue":10,"cited_by_count":102,"oa_url":103,"card":104,"direction":110,"ingested_from":111},"W7221151398",[87,90,93,96,99],{"name":88,"orcid":89},"Hue Tran","https:\u002F\u002Forcid.org\u002F0000-0003-0606-0525",{"name":91,"orcid":92},"Thuy Phan Thi","https:\u002F\u002Forcid.org\u002F0000-0001-5451-7185",{"name":94,"orcid":95},"Long Nhat Cao","https:\u002F\u002Forcid.org\u002F0000-0002-5345-7472",{"name":97,"orcid":98},"Jacob Schenthal","https:\u002F\u002Forcid.org\u002F0000-0002-1265-033X",{"name":100,"orcid":101},"Ketan Patel","https:\u002F\u002Forcid.org\u002F0009-0007-1813-2449",0,"https:\u002F\u002Fcoffeescience.ufla.br\u002Findex.php\u002FCoffeescience\u002Farticle\u002Fdownload\u002F2515\u002F2608",{"tldr":105,"method":106,"finding":107,"direction":108,"opportunity":109},"基于13525份农户调查，分析越南、印尼、印度罗布斯塔咖啡产量差异及管理因素。","13,525份农户调查，描述统计、相关分析与回归阈值法。","无机肥与产量正相关；印尼受投入不足限制，越南和印度则受养分管理低效与结构因素制约。","数字乡村与农业信息化","可构建分区域咖啡产量差诊断与精准施肥决策模型，结合遥感与物联网实现管理处方推荐。","农业遥感与作物表型","openalex","2026-10-11T23:30:31.779147Z",{"total":114,"page":22,"page_size":114,"items":115},6,[116,176,285,355,402,481],{"id":117,"title":118,"url":119,"summary":120,"summary_zh":121,"content":9,"source_name":122,"source_url":119,"published_at":123,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":124,"score_detail":125,"sources":127,"tags":129,"primary_topic":134,"secondary_topics":135,"classification":136,"search_phrases":155,"slug":158,"view_count":102,"doi":159,"paper":160,"created_at":175},5479,"Comparative Scientific Evaluation of Five Coffee Cooperative Organizations in Oromia, Ethiopia: Digital Traceability, Value Conversion, Institutional Dependencies and Five-Year Transformation Strategies","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23504407","Comparative Scientific Evaluation of Five Coffee Cooperative Organizations in Oromia, Ethiopia: Digital Traceability, Value Conversion, Institutional Dependencies and Five-Year Transformation Strategies Authors: Kedir Nefo Biftu, Kebede Hail, and Tadila Tadessa QajelaPublication year: 2026Publication type: Comparative scientific research article \u002F Preprint Description This scientific article presents a comparative evaluation of five coffee cooperative organizations in Oromia, Ethiopia: Chercher Oda Bultum Farmers Cooperative Union, Homa Multipurpose Farmers Cooperative, Kata Muduga Multipurpose Farmers Cooperative Union, Torban Anfillo Multipurpose Farmers Cooperative Union, and Sadetan Chora Farmers Cooperative Union. The research investigates variability in biological production, institutional organization, processing efficiency, digital traceability, product quality, market participation and financial value realization. The study uses institutional questionnaires, cooperative administrative records and previously developed case assessments, supported by recent international, African and Ethiopian scientific literature. Its integrated analytical framework comprises 18 end-to-end value-chain components, nine value-creation and conversion gates, three institutional levels and the eight-stage Big Win methodology. The comparative results demonstrate significant differences in organizational scale, coffee-growing ecology, farmer registration, geospatial mapping, production measurement, processing infrastructure, quality assurance, certification, export-market participation, financial settlement and digital readiness. The findings also identify common weaknesses in upstream traceability, data consistency, coffee-lot genealogy, processing mass balance, producer-level quality differentiation and verifiable links between commercial transactions and farmer payments. The scientific discussion examines how biological productivity, environmental sustainability, quality conservation, processing efficiency, value addition, buyer acceptance, and realized commercial value depend on reliable institutional coordination and information exchange. The analysis draws on recent research concerning digitalization and sustainability (Hidalgo et al., 2023), Ethiopian coffee traceability and buyer trust (Mbakop et al., 2023), digital traceability capabilities (Tadesse et al., 2024), geographical-origin compliance (Urugo et al., 2025), Ethiopian coffee-quality differentiation (Worku, Astatkie, and Boeckx, 2023), and sustainability performance in southwestern Oromia (Botola, Werke, and Birbirsa, 2026). International institutional frameworks from the International Coffee Organization, UNIDO, FAO, GS1, and ISO inform the proposed approaches to value-chain resilience, circular resource management, digital interoperability, and product traceability. The article proposes an integrated Smart Digital Coffee Value Chain architecture linking market intelligence, genetic resources, nursery development, producer and plot identity, extension services, production, harvesting, aggregation, processing, quality assurance, storage, certification, market contracts, buyer acceptance, financial settlement and feedback. A five-year scientific transformation proposal identifies differentiated improvement priorities for each organization, together with harmonized Business Requirements (BR), Functional Requirements (FR), institutional data dependencies, Key Performance Indicators (KPIs), Key Risk Indicators (KRIs) and corrective and preventive actions. The principal scientific contribution is a comparative framework demonstrating how cooperative organizations with different ecological, institutional, and commercial characteristics can implement a common, interoperable digital value-chain system while following locally appropriate transformation pathways. The study contributes to scientific understanding of cooperative value-chain performance, digital agriculture, institutional coordination, biological and economic efficiency, environmental sustainability and commercial value realization. The findings are based principally on documentary and organizational evidence. Reported performance indicators are distinguished from calculated measures and proposed interventions. Differences in reporting periods, measurement units and data completeness limit direct statistical comparability, while the proposed five-year improvements require implementation and independent evaluation. Keywords Smart Digital Coffee Value Chain; Comparative Scientific Evaluation; Oromia; Ethiopia; Coffee Cooperative Unions; Chercher Oda Bultum; Homa Cooperative; Kata Muduga; Torban Anfillo; Sadetan Chora; Digital Traceability; Value Creation; Value Conservation; Value Addition; Biological Efficiency; Economic Efficiency; Institutional Dependency; Big Win Methodology; Sustainable Coffee Production.","埃塞俄比亚奥罗米亚地区五家咖啡合作社组织的比较科学评估：数字可追溯性、价值转化、制度依赖与五年转型战略\n\n作者：Kedir Nefo Biftu、Kebede Hail、Tadila Tadessa Qajela\n\n出版年份：2026年\n\n出版类型：比较科学研究论文\u002F预印本\n\n描述\n\n本科学论文对埃塞俄比亚奥罗米亚地区五家咖啡合作社组织进行了比较评估：Chercher Oda Bultum农民合作社联盟、Homa多用途农民合作社、Kata Muduga多用途农民合作社联盟、Torban Anfillo多用途农民合作社联盟和Sadetan Chora农民合作社联盟。该研究考察了生物生产、制度组织、加工效率、数字可追溯性、产品质量、市场参与和财务价值实现方面的变异性。研究采用机构问卷、合作社行政记录和先前开发的案例评估，并以近期国际、非洲和埃塞俄比亚科学文献为支撑。其综合分析框架由18个端到端价值链组成部分、九个价值创造与转化关口、三个制度层面和八阶段“大赢”方法组成。比较结果揭示了在组织规模、咖啡种植生态、农民登记、地理空间测绘、生产计量、加工基础设施、质量保证、认证、出口市场参与、财务结算和数字准备度方面存在显著差异。研究结果还识别了上游可追溯性、数据一致性、咖啡批次谱系、加工物料平衡、生产者层面质量分级以及商业交易与农民付款之间可验证联系方面的共同弱点。科学讨论审视了生物生产力、环境可持续性、质量保持、加工效率、价值增值、买方接受度和已实现商业价值如何依赖于可靠的制度协调和信息交换。分析借鉴了近期关于数字化与可持续性（Hidalgo等，2023）、埃塞俄比亚咖啡可追溯性与买方信任（Mbakop等，2023）、数字可追溯能力（Tadesse等，2024）、地理原产地合规（Urugo等，2025）、埃塞俄比亚咖啡质量分级（Worku","Zenodo (CERN European Organization for Nuclear Research)","2026-10-20T00:00:00Z",59,{"impact":21,"substance":19,"depth":52,"authority":60,"freshness":60,"relevant":22,"comment":126},"该研究以埃塞俄比亚咖啡合作社为对象，提出数字价值链框架，方法有一定新意，但属区域性案例研究，对国内三农信息化仅有间接参考价值。",[128],{"name":122,"url":119},[130,131,132,133,28],"数字农业","价值链","合作社","数字溯源",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":137},{"candidates":138,"agricultural_evidence":53},[139,143,149],{"code":33,"score":52,"supported":53,"title":140,"abstract":141,"tags":142},[55],[57,55],[28],{"code":75,"score":144,"supported":53,"title":145,"abstract":146,"tags":148},4,[],[147],"农民合作社",[132],{"code":150,"score":144,"supported":53,"title":151,"abstract":152,"tags":154},"I1",[],[153],"digital agriculture",[130],[156,157],"埃塞俄比亚 咖啡合作社 数字溯源","咖啡产业 数字农业 数字溯源 价值链","埃塞俄比亚咖啡合作社数字溯源-5479","10.5281\u002Fzenodo.23504407",{"doi":159,"openalex_id":161,"authors":162,"venue":122,"cited_by_count":102,"oa_url":119,"card":169,"direction":174,"ingested_from":111},"W7223041235",[163,165,167],{"name":164,"orcid":9},"Kedir Biftu",{"name":166,"orcid":9},"Kebede Hailu",{"name":168,"orcid":9},"Tadila Tadessa Qajela",{"tldr":170,"method":171,"finding":172,"direction":108,"opportunity":173},"比较埃塞俄比亚奥罗米亚五个咖啡合作社的数字化追溯与价值转化差异。","机构问卷、合作社行政记录与案例评估，构建18环节价值链分析框架。","各社在组织规模、数字追溯与支付可验证性差异显著，上游追溯普遍薄弱。","可研究小农户合作社低成本数字追溯与批次谱系方案，打通交易与农户付款的可验证链路。","智慧农业 \u002F 农业物联网","2026-10-21T23:30:09.167175Z",{"id":177,"title":178,"url":179,"summary":180,"summary_zh":181,"content":9,"source_name":182,"source_url":179,"published_at":183,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":184,"score_detail":185,"sources":189,"tags":191,"primary_topic":196,"secondary_topics":197,"classification":210,"search_phrases":256,"slug":259,"view_count":102,"doi":260,"paper":261,"created_at":284},4570,"Agroecological practices, perceived benefits, and determinants of adoption in the Yayu Coffee Forest Biosphere Reserve, Southwest Ethiopia","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44274-026-01113-4","Agroecology offers a promising pathway for reconciling forest conservation with rural livelihoods in biodiversity-rich tropical landscapes, yet empirical evidence on the breadth, intensity, and determinants of adoption remains limited, particularly in UNESCO biosphere reserves. This study investigates agroecological practices, perceived contributions, and determinants of adoption in the Yayu Coffee Forest Biosphere Reserve (YCFBR), Southwest Ethiopia. A cross-sectional concurrent mixed-methods design was employed, combining 293 randomly selected households, complemented by key informant interviews, focus group discussions, and field observations. Binary logistic regression identified determinants of adoption (extensive margin), while ordinal logistic regression examined adoption intensity using the Agroecological Adoption Index (AAI) (intensive margin). Number of Practices Adopted (NPA), Weighted Adoption Intensity (WAI), and Duration of Adoption (DUR) provided complementary insights into adoption breadth, intensity, and persistence. Qualitative data were analyzed thematically to contextualize quantitative findings. Results showed that 72% of households adopted at least one agroecological practice, including coffee agroforestry, homegarden agroforestry, soil and water conservation, climate-smart agriculture, intercropping, crop rotation, mixed tree planting, afforestation and reforestation, organic soil fertility management, and biological pest and disease management. Adoption intensity varied: 34.6% low, 41.2% moderate, and 24.2% high. Practices were perceived to improve soil fertility, biodiversity conservation, climate resilience, forest management, and livelihood diversification while reducing pressure on natural forests and strengthening ecological connectivity and adaptive capacity. Sex, education, farm size, extension services, training, credit access, and cooperative membership significantly determined adoption and intensity, whereas age, household size, farming experience, and distance to forest were non-significant. Agroecology provides a multifunctional, context-specific pathway for advancing sustainable forest management, biodiversity conservation, and livelihood resilience. Strengthening agroecology-oriented extension, gender-responsive training, access to finance, indigenous knowledge integration, and policy mainstreaming are essential for long-term environmental sustainability and community resilience in the YCFBR and comparable forest-dependent landscapes.","农业生态学为在生物多样性丰富的热带景观中协调森林保护与农村生计提供了一条有前景的路径，但关于其采用广度、强度及决定因素的实证证据仍然有限，尤其是在联合国教科文组织生物圈保护区中。本研究调查了埃塞俄比亚西南部亚尤咖啡森林生物圈保护区（YCFBR）的农业生态实践、感知贡献及采用决定因素。研究采用横断面同步混合方法设计，结合293户随机选取的家庭，并辅以关键知情人访谈、焦点小组讨论和实地观察。二元逻辑回归识别了采用的决定因素（外延边际），而有序逻辑回归则使用农业生态采用指数（AAI）考察了采用强度（内涵边际）。采用实践数量（NPA）、加权采用强度（WAI）和采用持续时间（DUR）为采用广度、强度和持续性提供了补充性见解。定性数据采用主题分析法，以对定量发现进行情境化解释。结果表明，72%的家庭至少采用了一项农业生态实践，包括咖啡农林复合、家庭园圃农林复合、水土保持、气候智能型农业、间作、轮作、混合植树、植树造林和再造林、有机土壤肥力管理以及生物病虫害管理。采用强度存在差异：低度34.6%、中度41.2%、高度24.2%。受访者认为这些实践改善了土壤肥力、生物多样性保护、气候韧性、森林管理和生计多样化，同时减轻了对天然森林的压力，并增强了生态连通性和适应能力。性别、教育程度、农场规模、推广服务、培训、信贷获取和合作社成员资格显著决定了采用及采用强度，而年龄、家庭规模、耕作经验和距森林距离则不显著。农业生态学为推进可持续森林管理、生物多样性保护和生计韧性提供了一条多功能、因地制宜的路径。加强面向农业生态学的推广、性别响应型培训、融资渠道、本土知识整合和政策主流化，对于YCFBR及类似依赖森林的地区实现长期环境可持续性和社区韧性至关重要。","Discover Environment","2026-10-08T00:00:00Z",73,{"impact":186,"substance":18,"depth":187,"authority":20,"freshness":60,"relevant":22,"comment":188},12,17,"基于293户调查的实证研究，数据扎实、结论具体，对热带林区农业生态化与咖啡产业可持续发展有参考价值，但属区域性案例研究，公共影响层级有限。",[190],{"name":182,"url":179},[192,28,193,194,195],"可持续生计","生态农业","农林复合经营","生物多样性保护",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[198,204],{"code":199,"slug":200,"name":201,"path":202,"parent_code":203},"A7","forage-cropping","饲草与耕作制度","\u002Ftopic\u002Ffield-crops\u002Fforage-cropping","A",{"code":205,"slug":206,"name":207,"path":208,"parent_code":209},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",{"status":46,"locked":14,"version":47,"method":48,"evidence":211},{"candidates":212,"agricultural_evidence":53},[213,217,225,233,240,246,251],{"code":33,"score":52,"supported":53,"title":214,"abstract":215,"tags":216},[55],[57,55],[28],{"code":199,"score":60,"supported":53,"title":218,"abstract":219,"tags":224},[],[220,221,222,223],"轮作","间作","crop rotation","intercropping",[],{"code":205,"score":60,"supported":53,"title":226,"abstract":227,"tags":232},[],[228,229,230,206,231],"生物多样性","农业生态","水土保持","agroecology",[],{"code":234,"score":114,"supported":53,"title":235,"abstract":236,"tags":239},"H2",[],[237,238],"土壤","soil",[],{"code":241,"score":69,"supported":53,"title":242,"abstract":243,"tags":245},"H7",[],[244],"climate resilience",[],{"code":150,"score":69,"supported":53,"title":247,"abstract":248,"tags":250},[],[249],"smart agriculture",[],{"code":252,"score":22,"supported":14,"title":253,"abstract":254,"tags":255},"H8",[],[],[193],[257,258],"埃塞俄比亚 亚尤咖啡林 生物圈保护区","农林复合经营 采纳影响因素","埃塞俄比亚亚尤咖啡林生物圈保护区-4570","10.1007\u002Fs44274-026-01113-4",{"doi":260,"openalex_id":262,"authors":263,"venue":182,"cited_by_count":102,"oa_url":277,"card":278,"direction":174,"ingested_from":111},"W7221057925",[264,267,270,273,275],{"name":265,"orcid":266},"Alemayehu Abera","https:\u002F\u002Forcid.org\u002F0000-0002-6225-9304",{"name":268,"orcid":269},"Samuel Taye","https:\u002F\u002Forcid.org\u002F0000-0001-9662-3939",{"name":271,"orcid":272},"Adanech Asfaw","https:\u002F\u002Forcid.org\u002F0009-0007-2586-0559",{"name":274,"orcid":9},"Chaluma Kicha",{"name":276,"orcid":9},"Endashew Mogessie","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44274-026-01113-4.pdf",{"tldr":279,"method":280,"finding":281,"direction":282,"opportunity":283},"研究埃塞俄比亚亚尤咖啡森林生物圈保护区农户采用农业生态实践的程度、感知效益及影响因素。","混合方法：293户问卷+访谈+焦点小组，二元与有序logistic回归分析采用广","72%农户至少采用一项实践，采用强度分低中高；性别、教育、推广、信贷等显著影响采用。","农业绿色发展与碳","可延伸研究农业生态实践采用对森林保护与生计韧性的长期因果效应及数字化推广干预。","2026-10-10T23:30:11.538537Z",{"id":286,"title":287,"url":288,"summary":289,"summary_zh":290,"content":9,"source_name":291,"source_url":288,"published_at":183,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":292,"score_detail":293,"sources":297,"tags":299,"primary_topic":304,"secondary_topics":305,"classification":306,"search_phrases":329,"slug":332,"view_count":102,"doi":333,"paper":334,"created_at":354},4507,"Nearly ninety percent of Indonesian coffee area is classified as deforestation-free under the European Union Deforestation Regulation (EUDR)","https:\u002F\u002Fdoi.org\u002F10.1088\u002F1748-9326\u002Faeb1e2","Abstract Indonesia is the third-largest coffee producer globally and exports a substantial share of its production to European Union (EU) countries. Recent implementation of the EU Deforestation Regulation (EUDR), which requires deforestation-free supply chains, highlights the need for spatially-explicit coffee mapping to support the assessment of coffee-associated deforestation. In this study, we utilized multitemporal and multi-sensor remote sensing to produce annual maps of coffee distribution from 2016 to 2024. We analyzed the spatial patterns of annual coffee distribution during this period, and evaluated the potential implications of EUDR for coffee production in Indonesia. Our maps of coffee agroecosystems demonstrate an overall classification accuracy exceeding 80%, and are broadly consistent with independent coffee datasets (i.e., national statistics and coffee probability maps from the Forest Data Partnership). We detected a net increase of ~15% in coffee area over the eight-year period, although the patterns of change vary across provinces. Based on these maps, we estimate that 87.9% of the coffee area in 2024 meets the EUDR deforestation-free criterion, and only a relatively small proportion of agroecosystems are classified as non-deforestation-free. These findings highlight opportunities for spatially targeted EUDR implementation, where deforestation-free coffee agroecosystems can be supported towards meeting broader EUDR requirements, while areas associated with forest conversion can be supported towards other pathways, such as sustainable agricultural practices, restoration, and forest conservation.","摘要：印度尼西亚是全球第三大咖啡生产国，并将相当大比例的产量出口至欧盟（EU）国家。近期实施的《欧盟零毁林条例》（EUDR）要求供应链不涉及毁林，这凸显了开展空间显式咖啡制图以支持咖啡相关毁林评估的必要性。本研究利用多时相和多传感器遥感技术，制作了2016年至2024年咖啡分布的年度地图。我们分析了这一时期咖啡年度分布的空间格局，并评估了EUDR对印度尼西亚咖啡生产的潜在影响。我们的咖啡农业生态系统地图总体分类精度超过80%，并与独立咖啡数据集（即国家统计数据以及森林数据伙伴关系提供的咖啡概率图）大体一致。我们检测到八年间咖啡面积净增加约15%，但各省变化格局有所不同。基于这些地图，我们估计2024年87.9%的咖啡面积符合EUDR无毁林标准，仅有相对较小比例的农业生态系统被归类为非无毁林。这些发现凸显了在空间上有针对性地实施EUDR的机会，即可以支持无毁林咖啡农业生态系统满足EUDR更广泛的要求，同时可以支持与森林转化相关的区域转向其他路径，如可持续农业实践、恢复和森林保护。","Environmental Research Letters",86,{"impact":18,"substance":294,"depth":19,"authority":295,"freshness":60,"relevant":22,"comment":296},23,14,"基于多时相多源遥感生成印尼咖啡分布图，量化EUDR合规比例，方法扎实、结论对咖啡出口与可持续供应链有直接参考价值。",[298],{"name":291,"url":288},[300,28,301,302,303],"遥感监测","供应链溯源","EUDR","毁林零容忍",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":307},{"candidates":308,"agricultural_evidence":53},[309,313,320,324],{"code":33,"score":52,"supported":53,"title":310,"abstract":311,"tags":312},[55],[57,55],[28],{"code":68,"score":314,"supported":53,"title":315,"abstract":316,"tags":319},7,[],[317,318],"遥感","remote sensing",[300],{"code":205,"score":69,"supported":53,"title":321,"abstract":322,"tags":323},[],[229],[],{"code":252,"score":69,"supported":53,"title":325,"abstract":326,"tags":328},[],[327],"可持续农业",[],[330,331],"印尼 咖啡 遥感制图","EUDR 咖啡 毁林","印尼咖啡遥感制图-4507","10.1088\u002F1748-9326\u002Faeb1e2",{"doi":333,"openalex_id":335,"authors":336,"venue":291,"cited_by_count":102,"oa_url":288,"card":349,"direction":110,"ingested_from":111},"W7221019615",[337,340,342,344,346],{"name":338,"orcid":339},"Tin Widyani Satriawan","https:\u002F\u002Forcid.org\u002F0000-0003-4580-9973",{"name":341,"orcid":9},"Xiangzhong (Remi) Luo",{"name":343,"orcid":9},"Shafira Nur Ramdhania",{"name":345,"orcid":9},"Agustín Escobar-López",{"name":347,"orcid":348},"Anggun Tridawati","https:\u002F\u002Forcid.org\u002F0000-0002-0070-883X",{"tldr":350,"method":351,"finding":352,"direction":110,"opportunity":353},"利用多时相多源遥感绘制印尼2016-2024年咖啡分布图，评估EUDR合规性。","多时相多传感器遥感分类，结合国家统计与森林数据伙伴关系概率图验证。","印尼咖啡面积净增约15%，2024年87.9%咖啡区符合EUDR无毁林标准。","可延伸研究：针对非合规小区域，结合高分辨率遥感与供应链追溯，设计精准干预与可持续转型路径。","2026-10-09T23:30:26.065388Z",{"id":356,"title":357,"url":358,"summary":359,"summary_zh":9,"content":9,"source_name":360,"source_url":358,"published_at":361,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":362,"score_detail":363,"sources":365,"tags":367,"primary_topic":371,"secondary_topics":372,"classification":373,"search_phrases":389,"slug":392,"view_count":393,"doi":394,"paper":395,"created_at":401},3884,"Sustainable Coffee Production: Biotechnology, Circular Bioeconomy, and Climate-Smart Agriculture","https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-11196777\u002Fv1","Sustainable Coffee Production: Biotechnology, Circular Bioeconomy, and Climate-Smart Agriculture。Research Square","Research Square","2026-09-30T00:00:00Z",61,{"impact":19,"substance":295,"depth":186,"authority":60,"freshness":21,"relevant":22,"comment":364},"主题契合农业科技与可持续生产，但摘要信息量有限，属细分领域研究进展，未达重大突破层级。",[366],{"name":360,"url":358},[368,28,369,370],"气候智慧农业","农业生物技术","循环生物经济",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":374},{"candidates":375,"agricultural_evidence":53},[376,380,385],{"code":33,"score":186,"supported":53,"title":377,"abstract":378,"tags":379},[55],[55],[28],{"code":150,"score":381,"supported":53,"title":382,"abstract":383,"tags":384},11,[249],[249],[],{"code":241,"score":22,"supported":14,"title":386,"abstract":387,"tags":388},[],[],[368],[390,391],"可持续咖啡生产 生物技术","气候智慧农业 咖啡","可持续咖啡生产生物技术-3884",2,"10.21203\u002Frs.3.rs-11196777\u002Fv1",{"doi":394,"openalex_id":396,"authors":397,"venue":360,"cited_by_count":102,"oa_url":358,"card":9,"direction":174,"ingested_from":111},"W7214969071",[398],{"name":399,"orcid":400},"Mitiku Muanenda","https:\u002F\u002Forcid.org\u002F0000-0003-3022-9175","2026-10-01T23:30:09.668346Z",{"id":403,"title":404,"url":405,"summary":406,"summary_zh":407,"content":9,"source_name":408,"source_url":405,"published_at":409,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":410,"sources":412,"tags":414,"primary_topic":419,"secondary_topics":424,"classification":426,"search_phrases":453,"slug":456,"view_count":144,"doi":457,"paper":458,"created_at":480},3760,"Enhancing smallholder farmers’ willingness to adopt organic fertilizer in Zhejiang Province, China: a configurational analysis of pathways","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1943791","Scope Organic fertilizer substitution can reduce agricultural non-point source pollution, but subsidy programs in China often exclude smallholder farmers. This study evaluates the effectiveness and feasibility of subsidizing smallholders in Zhejiang Province and identifies combinations of internal factors associated with their willingness to adopt organic fertilizer substitution. Methods Data were obtained from 288 smallholder farmers in 11 green agricultural pioneer counties. The contingent valuation method and willingness to accept were used to estimate expected subsidy levels under different substitution ratios. The theory of planned behavior and fuzzy-set qualitative comparative analysis were then integrated to examine six internal conditions: ecological rationality, economic rationality, exemplary norms, directive norms, competence perception, and policy perception. Results Subsidies increased stated willingness, and the estimated willingness to accept was generally below prevailing subsidy levels. At a 40–60% substitution ratio, the expected subsidy was 124.74 Chinese yuan per metric ton. No single internal condition was necessary for high willingness. Instead, six configurations formed four pathways: Learning, External Normative, Resource-oriented, and Benefit-oriented. These pathways show that technical learning and competence, institutional and peer influence, access to on-farm organic resources, and perceived economic and ecological benefits operate in different combinations across heterogeneous smallholders. Perspectives Policy should (1) implement tiered subsidies according to farm scale and substitution needs, (2) refine agricultural technology extension by combining accessible training with online and offline communication, and (3) strengthen social learning through peer demonstration and locally trusted information channels. The configurational approach offers a differentiated basis for promoting organic fertilizer substitution in comparable smallholder regions.","范围 有机肥替代可以减少农业面源污染，但中国的补贴项目往往将小农户排除在外。本研究评估了浙江省对小农户进行补贴的有效性和可行性，并识别了与其采用有机肥替代意愿相关的内部因素组合。方法 数据来自11个绿色农业先行县的288户小农户。采用条件价值评估法和接受意愿来估算不同替代比例下的预期补贴水平。随后整合计划行为理论和模糊集定性比较分析，考察六个内部条件：生态理性、经济理性、示范性规范、指令性规范、能力感知和政策感知。结果 补贴提高了陈述性意愿，且估算的接受意愿总体上低于现行补贴水平。在40%—60%的替代比例下，预期补贴为每公吨124.74元人民币。没有任何单一内部条件是高意愿的必要条件。相反，六种条件组合形成了四条路径：学习型、外部规范型、资源导向型和利益导向型。这些路径表明，技术学习与能力、制度与同伴影响、农场内有机资源获取以及感知到的经济和生态效益，在异质性小农户中以不同组合发挥作用。观点 政策应：(1)根据农场规模和替代需求实施分层补贴；(2)通过将可及性培训与线上线下沟通相结合来完善农业技术推广；(3)通过同伴示范和当地可信信息渠道加强社会学习。该组态方法为在可比的小农户地区推广有机肥替代提供了差异化依据。","Frontiers in Sustainable Food Systems","2026-09-28T00:00:00Z",{"impact":52,"substance":18,"depth":19,"authority":20,"freshness":60,"relevant":22,"comment":411},"基于浙江288户小农户调研，用fsQCA揭示有机肥替代采纳的四条路径并提出分层补贴建议，方法新颖、数据扎实，对同类小农地区政策制定有参考价值。",[413],{"name":408,"url":405},[415,416,27,417,418],"浙江","农业绿色发展","补贴政策","有机肥替代",{"code":75,"slug":420,"name":421,"path":422,"parent_code":423},"farm-services","社会化服务与规模经营","\u002Ftopic\u002Frural-services\u002Ffarm-services","G",[425],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":46,"locked":14,"version":47,"method":48,"evidence":427},{"candidates":428,"agricultural_evidence":53},[429,434,438,444,449],{"code":75,"score":52,"supported":53,"title":430,"abstract":432,"tags":433},[431],"smallholder",[27,431],[27],{"code":40,"score":381,"supported":53,"title":435,"abstract":436,"tags":437},[65],[65],[],{"code":439,"score":69,"supported":53,"title":440,"abstract":441,"tags":443},"H5",[],[442],"面源污染",[],{"code":445,"score":22,"supported":14,"title":446,"abstract":447,"tags":448},"H4",[],[],[416],{"code":252,"score":22,"supported":14,"title":450,"abstract":451,"tags":452},[],[],[416],[454,455],"浙江 小农户 有机肥替代","有机肥 补贴 意愿 浙江","浙江小农户有机肥替代-3760","10.3389\u002Ffsufs.2026.1943791",{"doi":457,"openalex_id":459,"authors":460,"venue":408,"cited_by_count":102,"oa_url":405,"card":475,"direction":282,"ingested_from":111},"W7214589952",[461,463,465,467,470,472],{"name":462,"orcid":9},"Xinru Peng",{"name":464,"orcid":9},"Chenxia Hu",{"name":466,"orcid":9},"Qiaoqiao Zheng",{"name":468,"orcid":469},"Yanying Yang","https:\u002F\u002Forcid.org\u002F0000-0002-0907-4191",{"name":471,"orcid":9},"Lijun Zhou",{"name":473,"orcid":474},"Jing Yang","https:\u002F\u002Forcid.org\u002F0009-0002-8370-7900",{"tldr":476,"method":477,"finding":478,"direction":282,"opportunity":479},"研究浙江小农户有机肥替代意愿，识别补贴水平与六种内部条件组合路径。","对288户小农户用条件价值法、计划行为理论和模糊集定性比较分析。","补贴能提高意愿，40-60%替代比下预期补贴124.74元\u002F吨，形成学习、外部规范、资源导向、利益导","可探究不同规模与作物类型下补贴与条件组合的动态匹配，以及数字工具在技术学习路径中的作用。","2026-09-29T23:30:06.947180Z",{"id":482,"title":483,"url":484,"summary":485,"summary_zh":486,"content":9,"source_name":408,"source_url":484,"published_at":487,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":488,"score_detail":489,"sources":492,"tags":494,"primary_topic":499,"secondary_topics":500,"classification":501,"search_phrases":535,"slug":538,"view_count":393,"doi":539,"paper":540,"created_at":559},3269,"Heterogeneous allocation of organic fertilizer under spatial constraints: evidence from Northern Ghana","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1938147","Organic fertilizer use is a key component of sustainable soil fertility management in smallholder systems though its adoption remains limited across sub-Saharan Africa. Although previous studies have primarily focused on household-level adoption, less attention has been paid as to how farmers allocate organic inputs across heterogeneous plots under resource constraints. This study addresses this research gap by examining the plot-level determinants of organic fertilizer use in a heterogeneous smallholder system in Northern Ghana. Using household survey data covering the 2023 and 2024 cropping seasons, the analysis explicitly distinguishes among three decision stages: plot-level organic fertilizer use, intra-farm allocation, and application intensity. Econometric models were used to evaluate the associations of plot accessibility, crop choice, soil characteristics, and regional conditions. The results indicated that the allocation of organic inputs was associated with plot characteristics and varied across plots. Maize plots were more likely to receive organic fertilizer, whereas plots perceived as fertile were less likely to do so. Longer travel time from the homestead to the plot was negatively associated with plot-level organic fertilizer use and with within-household allocation, indicating that less accessible plots were less likely to receive organic fertilizer, whereas the association with application intensity differed by input type. Importantly, allocation patterns differed by input type; that is, poultry manure was concentrated in nearby plots, whereas compost was applied more widely across space. These findings suggest that organic fertilizer use reflects a context-specific allocation strategy associated with spatial constraints and input characteristics. As such, this study provides a more nuanced understanding of smallholder decision-making by going beyond a mere binary focus on adoption. Instead of assuming uniform application, policy and extension efforts should emphasize targeted site-specific interventions that may enhance fertilizer effectiveness and promote sustainable soil fertility management.","有机肥使用是小农系统中可持续土壤肥力管理的关键组成部分，但在撒哈拉以南非洲地区，其采用率仍然有限。尽管以往研究主要关注农户层面的采用情况，但对资源约束下农户如何在异质性地块之间分配有机投入品的关注较少。本研究通过考察加纳北部异质性小农系统中农户层面有机肥使用的影响因素，填补了这一研究空白。利用涵盖2023年和2024年种植季的农户调查数据，分析明确区分了三个决策阶段：地块层面的有机肥使用、农场内分配以及施用强度。研究采用计量经济模型评估地块可达性、作物选择、土壤特征和区域条件之间的关联。结果表明，有机投入品的分配与地块特征相关，且在不同地块之间存在差异。玉米地块更有可能获得有机肥，而被认为肥沃的地块则较不可能获得有机肥。从宅基地到地块的通行时间越长，与地块层面有机肥使用和农户内部分配均呈负相关，表明可达性较差的地块较不可能获得有机肥，而施用强度与通行时间的关联则因投入品类型而异。重要的是，分配模式因投入品类型而不同，即家禽粪便集中在附近地块，而堆肥则在空间上施用更为广泛。这些发现表明，有机肥使用反映了一种与空间约束和投入品特征相关的、情境特定的分配策略。因此，本研究超越了对采用与否的简单二元关注，提供了对小农决策更为细致的理解。政策和推广工作不应假设均匀施用，而应强调有针对性的、因地制宜的干预措施，以提高肥料有效性并促进可持续土壤肥力管理。","2026-09-22T00:00:00Z",68,{"impact":21,"substance":490,"depth":187,"authority":20,"freshness":60,"relevant":22,"comment":491},21,"基于加纳北部两年农户调查的论文，揭示有机肥在异质地块间的配置策略，方法扎实但属区域性研究，公共影响有限。",[493],{"name":408,"url":484},[495,496,27,497,498],"精准施肥","撒哈拉以南非洲","有机肥","土壤肥力",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":502},{"candidates":503,"agricultural_evidence":53},[504,508,512,519,526,530],{"code":40,"score":17,"supported":53,"title":505,"abstract":506,"tags":507},[65],[63,65],[497,495],{"code":234,"score":314,"supported":53,"title":509,"abstract":510,"tags":511},[],[237,238],[498],{"code":513,"score":114,"supported":53,"title":514,"abstract":515,"tags":518},"A3",[],[516,517],"玉米","maize",[],{"code":520,"score":114,"supported":53,"title":521,"abstract":522,"tags":525},"C3",[],[523,524],"家禽","poultry",[],{"code":75,"score":144,"supported":53,"title":527,"abstract":528,"tags":529},[],[431],[27],{"code":531,"score":22,"supported":14,"title":532,"abstract":533,"tags":534},"J3",[],[],[496],[536,537],"小农户 有机肥 地块配置","撒哈拉以南非洲 土壤肥力 精准施肥 小农户","小农户有机肥地块配置-3269","10.3389\u002Ffsufs.2026.1938147",{"doi":539,"openalex_id":541,"authors":542,"venue":408,"cited_by_count":102,"oa_url":484,"card":554,"direction":108,"ingested_from":111},"W7214037932",[543,546,548,551],{"name":544,"orcid":545},"Yoshie Yageta","https:\u002F\u002Forcid.org\u002F0000-0001-8756-149X",{"name":547,"orcid":9},"Guenwoo Lee",{"name":549,"orcid":550},"Joseph Agebase Awuni","https:\u002F\u002Forcid.org\u002F0000-0003-0940-9462",{"name":552,"orcid":553},"Satoshi Nakamura","https:\u002F\u002Forcid.org\u002F0000-0002-0952-5618",{"tldr":555,"method":556,"finding":557,"direction":108,"opportunity":558},"研究加纳北部小农户在空间约束下有机肥的地块级分配决策。","2023-2024农户调查数据，计量模型分析地块可达性、作物与土壤特征。","地块越远越少施有机肥，禽粪集中于近地，堆肥分布更广。","可结合地块空间数据与遥感，构建小农户有机肥精准配置决策支持模型。","2026-09-23T23:30:07.582998Z"]