[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5479":3,"related-5479":88},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":64,"slug":67,"view_count":68,"doi":69,"paper":70,"created_at":87},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",null,"Zenodo (CERN European Organization for Nuclear Research)","2026-10-20T00:00:00Z","论文",10,false,59,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":20,"relevant":21,"comment":22},8,18,15,9,1,"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。",[24],{"name":10,"url":6},[26,27,28,29,30],"数字农业","价值链","合作社","数字溯源","咖啡产业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"B3","tea-coffee","茶叶与咖啡","\u002Ftopic\u002Fhorticulture\u002Ftea-coffee","B",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":45},[44,51,58],{"code":32,"score":19,"supported":45,"title":46,"abstract":48,"tags":50},true,[47],"coffee",[49,47],"咖啡",[30],{"code":52,"score":53,"supported":45,"title":54,"abstract":55,"tags":57},"G2",4,[],[56],"农民合作社",[28],{"code":59,"score":53,"supported":45,"title":60,"abstract":61,"tags":63},"I1",[],[62],"digital agriculture",[26],[65,66],"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",0,"10.5281\u002Fzenodo.23504407",{"doi":69,"openalex_id":71,"authors":72,"venue":10,"cited_by_count":68,"oa_url":6,"card":79,"direction":85,"ingested_from":86},"W7223041235",[73,75,77],{"name":74,"orcid":9},"Kedir Biftu",{"name":76,"orcid":9},"Kebede Hailu",{"name":78,"orcid":9},"Tadila Tadessa Qajela",{"tldr":80,"method":81,"finding":82,"direction":83,"opportunity":84},"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。","数字乡村与农业信息化","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","openalex","2026-10-21T23:30:09.167175Z",{"total":89,"page":21,"page_size":89,"items":90},6,[91,146,203,286,394,462],{"id":92,"title":93,"url":94,"summary":95,"summary_zh":96,"content":9,"source_name":10,"source_url":94,"published_at":97,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":98,"score_detail":99,"sources":103,"tags":105,"primary_topic":109,"secondary_topics":110,"classification":111,"search_phrases":129,"slug":132,"view_count":68,"doi":133,"paper":134,"created_at":145},5377,"Title: Smart Digital Guji Cooperative Coffee Value Chain Transformation: Scientific Evaluation, Value Conversion, Digital Traceability and Five-Year Strategic Implementation Framework in Oromia, Ethiopia","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23481514","Title: Smart Digital Guji Cooperative Coffee Value Chain Transformation: Scientific Evaluation, Value Conversion, Digital Traceability, and Five-Year Strategic Implementation Framework in Oromia, Ethiopia Author: Kedir Nefo Biftu, Kebede Hailu, Tadila Tadessa Qajela DescriptionThis scientific paper presents an evidence-based evaluation and five-year strategic transformation framework for Homa Multipurpose Farmers Cooperative in Abaya Woreda, West Guji Zone, Oromia, Ethiopia. The study investigates how smallholder coffee production, cooperative aggregation, processing, quality assurance, international marketing, and financial transactions can be integrated into a smart digital coffee value chain that improves traceability, value conservation, economic efficiency, and producer benefits. The research integrates a structured cooperative questionnaire, a farmer-level administrative registry containing 2,000 records, and a comprehensive Business and Functional Requirements Specification (BFRS). The analytical framework comprises 18 end-to-end coffee value-chain components, nine points of value creation (conservation, addition, and conversion), three institutional levels (core value-chain actors, supporting institutions, and the policy environment), and the eight-stage Big Win delivery methodology. The assessment documents 2,000 cooperative members, including 449 women and 204 youth, managing approximately 1,585.2 hectares of coffee production. The cooperative reports annual red-cherry production of 4,968.696 tonnes, while its farmer registry records 4,832.929 tonnes. Reported processing volume is 2,388.254 tonnes of red cherry, equivalent to approximately 477.651 tonnes of green coffee under an indicative 5:1 conversion assumption. Direct green-coffee exports total 264.240 tonnes, with a reported export value of US$2,069,127.329 and an implied export unit value of approximately US$7.83\u002Fkg. The results identify important organizational strengths, including nursery operations, mapped smallholder farms, two washing stations, specialty coffee production, export-market participation, and reported certification activities. However, the analysis reveals weaknesses in planting-material genealogy, reliable source identification, digital transaction continuity, coffee-lot traceability, quality-linked producer payments, data validation, and institutional interoperability. Six farmer-coordinate records require further verification, while discrepancies between questionnaire and registry production figures indicate the need for improved administrative data governance. The scientific discussion compares these findings with recent international, African, and Ethiopian publications on coffee sustainability, digital traceability, geographical differentiation, processing quality, cooperative governance, and market competitiveness. Particular emphasis is placed on the relationship between biological productivity, product quality preservation, processing recovery, buyer acceptance, and realized economic value. The paper proposes an integrated Smart Digital Coffee Value Chain architecture linking market intelligence, research and genetics, nursery systems, farmer and plot identification, agricultural services, production, harvesting, collection, processing, storage, certification, buyer contracts, export acceptance, financial settlement, and performance feedback. It further translates the evaluation into prioritized Business Requirements (BR), Functional Requirements (FR), institutional data-supply and consumption responsibilities, interoperable information flows, corrective and preventive actions (CAPA), and measurable Key Performance and Key Risk Indicators (KPI\u002FKRI). A five-year implementation proposal establishes a phased pathway from baseline reconciliation and digital identity verification to transaction-level traceability, quality conservation, commercial integration, producer-payment transparency, and evidence-based scaling. The principal scientific contribution is a practical and replicable framework for transforming fragmented smallholder coffee activities into an integrated, traceable, and economically accountable value chain. The study demonstrates how biological production, quality conservation, value addition, market conversion, and financial realization can be assessed through connected institutional responsibilities and verifiable digital records. The findings provide useful evidence and implementation guidance for coffee farmers, primary cooperatives, cooperative unions, the Oromia Cooperative Promotion Commission, regional and national government institutions, researchers, exporters, investors, and digital-system developers in Ethiopia and other coffee-producing regions. The reported organizational findings describe the available 2026 baseline, while proposed interventions, performance targets, and anticipated economic benefits require field implementation and independent verification. Publication classificationArticle type: Scientific case study, institutional performance assessment, and prospective five-year transformation proposal. Keywords: Smart Digital Coffee Value Chain; Guji Coffee; Homa Multipurpose Farmers Cooperative; Oromia; Ethiopia; Coffee Traceability; Biological Efficiency; Economic Efficiency; Value Conservation; Value Addition; Cooperative Development; Business Requirements; Functional Requirements; Big Win Methodology; Digital Agriculture; Coffee Sustainability.","标题：智能数字古吉合作社咖啡价值链转型：埃塞俄比亚奥罗米亚州科学评估、价值转化、数字追溯与五年战略实施框架\n\n作者：Kedir Nefo Biftu, Kebede Hailu, Tadila Tadessa Qajela\n\n描述：本科学论文针对埃塞俄比亚奥罗米亚州西古吉区阿巴亚沃雷达的霍马多用途农民合作社，提出了一项基于证据的评估与五年战略转型框架。研究探讨如何将小农咖啡生产、合作社聚合、加工、质量保证、国际营销和金融交易整合为智能数字咖啡价值链，以提升可追溯性、价值保存、经济效率和生产者收益。研究整合了结构化合作社问卷、包含2000条记录的农户级行政登记册以及全面的业务与功能需求规范（BFRS）。分析框架包括18个端到端咖啡价值链组成部分、九个价值创造点（保存、增加和转化）、三个制度层面（核心价值链参与者、支持机构和政策环境）以及八阶段“大赢”交付方法。评估记录了2000名合作社成员，其中包括449名妇女和204名青年，管理约1585.2公顷咖啡生产。合作社报告的年红果产量为4968.696吨，而其农户登记册记录为4832.929吨。报告的加工量为2388.254吨红果，在指示性5：1转化假设下约相当于477.651吨生咖啡。直接生咖啡出口总量为264.240吨，报告的出口价值为2，069，127.329美元，隐含出口单价约为7.83美元\u002F千克。结果识别出重要的组织优势，包括苗圃运营、已测绘的小农农场、两个水洗站、精品咖啡生产、出口市场参与以及报告的认证活动。然而，分析揭示了在种植材料谱系、可靠来源识别、数字交易连续性、咖啡批次可追溯性、与质量挂钩的生产者付款、数据验证和制度互操作性方面的弱点。六条农户坐标记录需要进一步核实，而问卷之间的差异","2026-10-19T00:00:00Z",69,{"impact":100,"substance":101,"depth":18,"authority":17,"freshness":20,"relevant":21,"comment":102},12,22,"基于2000条农户登记与18个价值链环节的实证评估，数据扎实、框架可复制，但属区域案例，公共影响有限。",[104],{"name":10,"url":94},[106,28,29,107,108],"智慧农业","埃塞俄比亚","咖啡产业链",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":112},{"candidates":113,"agricultural_evidence":45},[114,119,125],{"code":32,"score":115,"supported":45,"title":116,"abstract":117,"tags":118},14,[47],[49,47],[],{"code":52,"score":120,"supported":45,"title":121,"abstract":122,"tags":124},7,[],[56,123],"smallholder",[28],{"code":59,"score":53,"supported":45,"title":126,"abstract":127,"tags":128},[],[62],[106],[130,131],"Guji 咖啡 数字溯源","埃塞俄比亚 咖啡合作社 价值链","Guji咖啡数字溯源-5377","10.5281\u002Fzenodo.23481514",{"doi":133,"openalex_id":135,"authors":136,"venue":10,"cited_by_count":68,"oa_url":94,"card":140,"direction":85,"ingested_from":86},"W7222944563",[137,138,139],{"name":74,"orcid":9},{"name":76,"orcid":9},{"name":78,"orcid":9},{"tldr":141,"method":142,"finding":143,"direction":83,"opportunity":144},"为埃塞俄比亚Guji咖啡合作社设计智慧数字价值链转型与五年战略框架。","合作社问卷、2000条农户登记数据与BFRS需求规范，18环节价值链分析。","合作社具备出口能力，但缺乏批次追溯、数字交易连续性与质量挂钩支付。","可研究小农户咖啡区块链追溯与质量溢价支付机制，填补数据互操作空白。","2026-10-20T23:30:08.394987Z",{"id":147,"title":148,"url":149,"summary":150,"summary_zh":151,"content":9,"source_name":10,"source_url":149,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":152,"score_detail":153,"sources":155,"tags":157,"primary_topic":160,"secondary_topics":161,"classification":162,"search_phrases":186,"slug":189,"view_count":68,"doi":190,"paper":191,"created_at":202},5477,"Smart Digital Coffee Value Chain Transformation: A Scientific Implementation Manual for Kata Muduga Multipurpose Farmers Cooperatives Union, Oromia, Ethiopia Authors: Kedir Nefo Biftu, Kebede Hail, and Tadila Tadessa Qajela","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23488198","Smart Digital Coffee Value Chain Transformation: A Scientific Implementation Manual for Kata Muduga Multipurpose Farmers Cooperatives Union, Oromia, EthiopiaAuthors: Kedir Nefo Biftu, Kebede Hail, and Tadila Tadessa Qajela Publication year: 2026 Publication type: Scientific technical manual and five-year strategic implementation guide DescriptionThis 30-page scientific implementation manual provides a practical, evidence-based framework for transforming the coffee value chain of Kata Muduga Multipurpose Farmers Cooperatives Union in Jimma Zone, Oromia, Ethiopia. The manual translates institutional assessment findings, scientific knowledge, digital-system requirements, and value-chain management principles into operational procedures suitable for cooperative organizations and other agricultural value-chain institutions. The manual draws on the Union's institutional questionnaire completed on 7 October 2026 and relevant scientific publications on international, African, and Ethiopian coffee production, processing, traceability, sustainability, and cooperative development. Its integrated methodological structure consists of 18 end-to-end coffee value-chain components, nine value-creation and conversion points, three institutional levels, and eight stages of the Big Win delivery methodology. The institutional baseline includes 28,164 members, 61,270 hectares of coffee-growing land, 49,287 productive hectares, an annual production of 315,337 quintals, 62 washing and collection facilities, 5,127 GPS-mapped farms, and reported direct-export experience. The manual evaluates these existing institutional capacities and identifies priority gaps in farmer-level digital identification, planting-material genealogy, production information, product traceability, processing utilization, quality testing, environmental compliance, market contracts, payment verification, and coordinated performance management. It establishes differentiated responsibilities for three institutional levels: Core value-chain actors: Farmers, primary cooperatives, cooperative unions, processors, exporters, and buyers responsible for biological production, collection, processing, commercial transactions, and payment. Supporting institutions: Research centers, agricultural extension services, financial institutions, quality laboratories, logistics providers, and digital technology organizations responsible for specialized technical and operational services. Policy and enabling institutions: The Oromia Cooperative Promotion Commission, agricultural and trade bureaus, regulatory organizations, and regional and national governments responsible for governance, standards, policy coordination, and enabling infrastructure. The manual specifies practical Business Requirements (BR), Functional Requirements (FR), data ownership, information exposing and consuming relationships, interoperable digital identification, transaction records, quality assurance, institutional accountability, and measurable performance indicators. Recent international and African experiences are incorporated to identify transferable best practices in cooperative modernization, agricultural digitalization, specialty-coffee differentiation, sustainable production, traceability, and circular value creation. The proposed five-year implementation roadmap applies the Big Win methodology through Direction, Mini-Lab, Open Day, Roadmap, KPI\u002FKRI Development, Implementation, Verification, and Annual Performance Reporting. Implementation priorities include reliable farmer and farm registration, verified production data, digital collection receipts, coffee-lot genealogy, quality-preserving processing, transparent market contracts, buyer acceptance, producer-payment reconciliation, and feedback-driven corrective actions. The principal contribution of this manual is a structured and adaptable implementation model for converting agricultural production potential into traceable products, conserved quality, added commercial value, accepted market transactions, and realized producer benefits. The manual is designed for practical application by farmers, cooperatives, cooperative unions, researchers, government organizations, development partners, technology developers, exporters, and investors in Ethiopia, Africa, and other coffee-producing regions. It serves as an operational companion to the scientific case study and provides guidance for institutional capacity development, digital-system implementation, monitoring, evaluation, and replication of verified best practices. The five-year roadmap and performance targets represent proposed interventions requiring stakeholder approval, practical implementation, and independent validation. KeywordsSmart Digital Coffee Value Chain; Kata Muduga; Scientific Implementation Manual; Coffee Cooperatives; Jimma; Oromia; Ethiopia; Digital Agriculture; Value Creation; Value Conservation; Value Addition; Biological Efficiency; Economic Efficiency; Business Requirements; Functional Requirements; Institutional Dependency; Big Win Methodology; CAPA; Coffee Sustainability.","智能数字咖啡价值链转型：埃塞俄比亚奥罗米亚州Kata Muduga多用途农民合作社联盟科学实施手册\n\n作者：Kedir Nefo Biftu、Kebede Hail 和 Tadila Tadessa Qajela\n出版年份：2026年\n出版类型：科学技术手册与五年战略实施指南\n\n描述\n\n这本30页的科学实施手册为埃塞俄比亚奥罗米亚州吉马地区的Kata Muduga多用途农民合作社联盟的咖啡价值链转型提供了一个实用的、基于证据的框架。该手册将机构评估结果、科学知识、数字系统要求和价值链管理原则转化为适用于合作社组织及其他农业价值链机构的操作程序。该手册依据该联盟于2026年10月7日完成的机构问卷，以及有关国际、非洲和埃塞俄比亚咖啡生产、加工、可追溯性、可持续性和合作社发展的相关科学出版物。其综合方法结构由18个端到端咖啡价值链组成部分、九个价值创造与转化点、三个机构层级以及“大赢”（Big Win）交付方法的八个阶段组成。机构基线包括28，164名成员、61，270公顷咖啡种植土地、49，287公顷生产性土地、年产量315，337公担、62个水洗和收集设施、5，127个经GPS测绘的农场，以及已报告的直接出口经验。该手册评估了这些现有机构能力，并识别出农民层面数字身份识别、种植材料谱系、生产信息、产品可追溯性、加工利用率、质量检测、环境合规、市场合同、付款验证和协调绩效管理等方面的优先差距。该手册为三个机构层级确立了差异化责任：核心价值链参与者：负责生物生产、收集、加工、商业交易和付款的农民、初级合作社、合作社联盟、加工商、出口商和买家。支持性机构：负责专业技术和运营服务的研究中心、农业推广服务机构、金融机构、质量实验室、物流服务提供商和数字技术组织。政策与赋能机构：奥罗",79,{"impact":18,"substance":101,"depth":18,"authority":100,"freshness":20,"relevant":21,"comment":154},"该手册面向埃塞俄比亚咖啡合作社，提供数字化价值链实施框架，数据详实、方法结构清晰，对农业信息化有参考价值，但属区域性案例，影响范围有限。",[156],{"name":10,"url":149},[26,106,108,158,159],"农业合作社","产品溯源",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":163},{"candidates":164,"agricultural_evidence":45},[165,169,176,181],{"code":32,"score":115,"supported":45,"title":166,"abstract":167,"tags":168},[47],[49,47],[],{"code":170,"score":89,"supported":45,"title":171,"abstract":172,"tags":175},"G1",[],[173,174],"农业推广","agricultural extension",[],{"code":59,"score":177,"supported":45,"title":178,"abstract":179,"tags":180},5,[],[62],[26,106],{"code":52,"score":182,"supported":45,"title":183,"abstract":184,"tags":185},3,[],[56],[],[187,188],"Kata Muduga 咖啡 合作社","埃塞俄比亚 咖啡 数字价值链","KataMuduga咖啡合作社-5477","10.5281\u002Fzenodo.23488198",{"doi":190,"openalex_id":192,"authors":193,"venue":10,"cited_by_count":68,"oa_url":149,"card":197,"direction":85,"ingested_from":86},"W7223028195",[194,195,196],{"name":74,"orcid":9},{"name":76,"orcid":9},{"name":78,"orcid":9},{"tldr":198,"method":199,"finding":200,"direction":83,"opportunity":201},"为埃塞俄比亚咖啡合作社联盟制定数字化价值链转型的科学实施手册。","基于机构问卷与文献，构建18个价值链环节、三级机构与八阶段交付方法。","识别出农户数字身份、溯源、质检与支付核验等优先数字化缺口。","可研究小农户合作社场景下低成本溯源与数字身份落地的效果评估。","2026-10-21T23:30:08.879737Z",{"id":204,"title":205,"url":206,"summary":207,"summary_zh":208,"content":9,"source_name":209,"source_url":206,"published_at":210,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":211,"score_detail":212,"sources":216,"tags":218,"primary_topic":223,"secondary_topics":224,"classification":231,"search_phrases":255,"slug":258,"view_count":21,"doi":259,"paper":260,"created_at":285},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。","Coffee Science","2026-10-09T00:00:00Z",77,{"impact":213,"substance":101,"depth":18,"authority":214,"freshness":17,"relevant":21,"comment":215},16,13,"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。",[217],{"name":209,"url":206},[219,30,220,221,222],"小农户","施肥管理","产量差","遮荫栽培",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[225],{"code":226,"slug":227,"name":228,"path":229,"parent_code":230},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","F",{"status":39,"locked":14,"version":40,"method":41,"evidence":232},{"candidates":233,"agricultural_evidence":45},[234,238,245,251],{"code":32,"score":19,"supported":45,"title":235,"abstract":236,"tags":237},[47],[49,47],[30],{"code":226,"score":20,"supported":45,"title":239,"abstract":240,"tags":244},[],[241,242,243],"肥料","养分管理","fertilizer",[],{"code":246,"score":182,"supported":45,"title":247,"abstract":248,"tags":250},"I3",[],[249],"估产",[],{"code":52,"score":21,"supported":14,"title":252,"abstract":253,"tags":254},[],[],[219],[256,257],"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":259,"openalex_id":261,"authors":262,"venue":209,"cited_by_count":68,"oa_url":278,"card":279,"direction":284,"ingested_from":86},"W7221151398",[263,266,269,272,275],{"name":264,"orcid":265},"Hue Tran","https:\u002F\u002Forcid.org\u002F0000-0003-0606-0525",{"name":267,"orcid":268},"Thuy Phan Thi","https:\u002F\u002Forcid.org\u002F0000-0001-5451-7185",{"name":270,"orcid":271},"Long Nhat Cao","https:\u002F\u002Forcid.org\u002F0000-0002-5345-7472",{"name":273,"orcid":274},"Jacob Schenthal","https:\u002F\u002Forcid.org\u002F0000-0002-1265-033X",{"name":276,"orcid":277},"Ketan Patel","https:\u002F\u002Forcid.org\u002F0009-0007-1813-2449","https:\u002F\u002Fcoffeescience.ufla.br\u002Findex.php\u002FCoffeescience\u002Farticle\u002Fdownload\u002F2515\u002F2608",{"tldr":280,"method":281,"finding":282,"direction":83,"opportunity":283},"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。","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","2026-10-11T23:30:31.779147Z",{"id":287,"title":288,"url":289,"summary":290,"summary_zh":291,"content":9,"source_name":292,"source_url":289,"published_at":293,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":294,"score_detail":295,"sources":298,"tags":300,"primary_topic":305,"secondary_topics":306,"classification":319,"search_phrases":365,"slug":368,"view_count":68,"doi":369,"paper":370,"created_at":393},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":100,"substance":101,"depth":296,"authority":214,"freshness":20,"relevant":21,"comment":297},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。",[299],{"name":292,"url":289},[301,30,302,303,304],"可持续生计","生态农业","农林复合经营","生物多样性保护",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[307,313],{"code":308,"slug":309,"name":310,"path":311,"parent_code":312},"A7","forage-cropping","饲草与耕作制度","\u002Ftopic\u002Ffield-crops\u002Fforage-cropping","A",{"code":314,"slug":315,"name":316,"path":317,"parent_code":318},"H6","biodiversity","生态保护与生物多样性","\u002Ftopic\u002Fenvironment\u002Fbiodiversity","H",{"status":39,"locked":14,"version":40,"method":41,"evidence":320},{"candidates":321,"agricultural_evidence":45},[322,326,334,342,349,355,360],{"code":32,"score":19,"supported":45,"title":323,"abstract":324,"tags":325},[47],[49,47],[30],{"code":308,"score":20,"supported":45,"title":327,"abstract":328,"tags":333},[],[329,330,331,332],"轮作","间作","crop rotation","intercropping",[],{"code":314,"score":20,"supported":45,"title":335,"abstract":336,"tags":341},[],[337,338,339,315,340],"生物多样性","农业生态","水土保持","agroecology",[],{"code":343,"score":89,"supported":45,"title":344,"abstract":345,"tags":348},"H2",[],[346,347],"土壤","soil",[],{"code":350,"score":182,"supported":45,"title":351,"abstract":352,"tags":354},"H7",[],[353],"climate resilience",[],{"code":59,"score":182,"supported":45,"title":356,"abstract":357,"tags":359},[],[358],"smart agriculture",[],{"code":361,"score":21,"supported":14,"title":362,"abstract":363,"tags":364},"H8",[],[],[302],[366,367],"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":369,"openalex_id":371,"authors":372,"venue":292,"cited_by_count":68,"oa_url":386,"card":387,"direction":85,"ingested_from":86},"W7221057925",[373,376,379,382,384],{"name":374,"orcid":375},"Alemayehu Abera","https:\u002F\u002Forcid.org\u002F0000-0002-6225-9304",{"name":377,"orcid":378},"Samuel Taye","https:\u002F\u002Forcid.org\u002F0000-0001-9662-3939",{"name":380,"orcid":381},"Adanech Asfaw","https:\u002F\u002Forcid.org\u002F0009-0007-2586-0559",{"name":383,"orcid":9},"Chaluma Kicha",{"name":385,"orcid":9},"Endashew Mogessie","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44274-026-01113-4.pdf",{"tldr":388,"method":389,"finding":390,"direction":391,"opportunity":392},"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":395,"title":396,"url":397,"summary":398,"summary_zh":399,"content":9,"source_name":400,"source_url":397,"published_at":293,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":401,"score_detail":402,"sources":405,"tags":407,"primary_topic":412,"secondary_topics":413,"classification":414,"search_phrases":436,"slug":439,"view_count":68,"doi":440,"paper":441,"created_at":461},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":101,"substance":403,"depth":18,"authority":115,"freshness":20,"relevant":21,"comment":404},23,"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。",[406],{"name":400,"url":397},[408,30,409,410,411],"遥感监测","供应链溯源","EUDR","毁林零容忍",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":415},{"candidates":416,"agricultural_evidence":45},[417,421,427,431],{"code":32,"score":19,"supported":45,"title":418,"abstract":419,"tags":420},[47],[49,47],[30],{"code":246,"score":120,"supported":45,"title":422,"abstract":423,"tags":426},[],[424,425],"遥感","remote sensing",[408],{"code":314,"score":182,"supported":45,"title":428,"abstract":429,"tags":430},[],[338],[],{"code":361,"score":182,"supported":45,"title":432,"abstract":433,"tags":435},[],[434],"可持续农业",[],[437,438],"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":440,"openalex_id":442,"authors":443,"venue":400,"cited_by_count":68,"oa_url":397,"card":456,"direction":284,"ingested_from":86},"W7221019615",[444,447,449,451,453],{"name":445,"orcid":446},"Tin Widyani Satriawan","https:\u002F\u002Forcid.org\u002F0000-0003-4580-9973",{"name":448,"orcid":9},"Xiangzhong (Remi) Luo",{"name":450,"orcid":9},"Shafira Nur Ramdhania",{"name":452,"orcid":9},"Agustín Escobar-López",{"name":454,"orcid":455},"Anggun Tridawati","https:\u002F\u002Forcid.org\u002F0000-0002-0070-883X",{"tldr":457,"method":458,"finding":459,"direction":284,"opportunity":460},"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":463,"title":464,"url":465,"summary":466,"summary_zh":9,"content":9,"source_name":467,"source_url":465,"published_at":468,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":469,"score_detail":470,"sources":472,"tags":474,"primary_topic":478,"secondary_topics":479,"classification":480,"search_phrases":496,"slug":499,"view_count":500,"doi":501,"paper":502,"created_at":508},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":18,"substance":115,"depth":100,"authority":20,"freshness":17,"relevant":21,"comment":471},"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。",[473],{"name":467,"url":465},[475,30,476,477],"气候智慧农业","农业生物技术","循环生物经济",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":481},{"candidates":482,"agricultural_evidence":45},[483,487,492],{"code":32,"score":100,"supported":45,"title":484,"abstract":485,"tags":486},[47],[47],[30],{"code":59,"score":488,"supported":45,"title":489,"abstract":490,"tags":491},11,[358],[358],[],{"code":350,"score":21,"supported":14,"title":493,"abstract":494,"tags":495},[],[],[475],[497,498],"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":501,"openalex_id":503,"authors":504,"venue":467,"cited_by_count":68,"oa_url":465,"card":9,"direction":85,"ingested_from":86},"W7214969071",[505],{"name":506,"orcid":507},"Mitiku Muanenda","https:\u002F\u002Forcid.org\u002F0000-0003-3022-9175","2026-10-01T23:30:09.668346Z"]