[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-5184":3,"related-5184":81},{"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":9,"secondary_topics":31,"classification":32,"search_phrases":60,"slug":63,"view_count":21,"doi":64,"paper":65,"created_at":80},5184,"From Farm Records to a Digital Control Tower: Integrating Production, Harvest, Finance, Markets, and Traceability for Independent Oil Palm Smallholders — A Review","https:\u002F\u002Fdoi.org\u002F10.47363\u002Fjeast\u002F2026(8)385","Independent oil palm smallholders operate simultaneously as growers, employers, input purchasers, harvest managers, logistics coordinators, sellers, and increasingly as actors responsible for demonstrating legal and sustainability compliance. Yet these functions are often managed through fragmented records, informal communication, delayed information, and disconnected transactions. This qualitative literature review examines how an integrated digital farm-management architecture could transform those fragmented activities into a coherent management-control system. Recent literature published primarily between 2020 and 2026 was purposively reviewed across oil palm agronomy, farm management information systems, digital agriculture, precision technologies, agricultural marketing, certification, and supply-chain traceability. The thematic synthesis identifies seven interconnected domains: farm visibility and management control; harvest integrity and fresh-fruit-bunch quality; agronomic and input management; financial visibility; buyer and transaction management; legality and traceability; and digital adoption conditions. The review argues that the main opportunity is not simply to digitize farm records, but to establish a closed-loop system connecting measurement, verification, diagnosis, decision, action, transaction, reconciliation, and organizational learning. A conceptual Digital Smallholder Oil Palm Control Tower is consequently proposed to connect field-level data with managerial dashboards, farm-to-mill transactions, financial reconciliation, sustainability evidence, and decision support. The framework suggests that farmer-centred, mobile-first, interoperable, and progressively implemented systems may strengthen productivity, profitability, bargaining capacity, traceability, and resilience while limiting digital complexity and exclusion","独立小农油棕种植者同时扮演着种植者、雇主、投入品购买者、采收管理者、物流协调者、销售者等多重角色，并日益成为承担法律与可持续合规证明责任的主体。然而，这些职能往往通过碎片化的记录、非正式沟通、滞后的信息和割裂的交易来管理。本定性文献综述考察了集成式数字农场管理架构如何将这些碎片化活动转变为连贯的管理控制系统。本文有针对性地梳理了主要发表于2020年至2026年间的近期文献，涵盖油棕农艺学、农场管理信息系统、数字农业、精准技术、农产品营销、认证及供应链可追溯性等领域。主题综合识别出七个相互关联的领域：农场可见性与管理控制；采收完整性与鲜果串质量；农艺与投入品管理；财务可见性；买方与交易管理；合法性与可追溯性；以及数字采纳条件。本综述认为，主要机遇不仅在于将农场记录数字化，更在于建立一个连接测量、验证、诊断、决策、行动、交易、对账与组织学习的闭环系统。据此，本文提出一个概念性的“数字小农油棕控制塔”（Digital Smallholder Oil Palm Control Tower），用以将田间数据与管理仪表盘、农场至加工厂的交易、财务对账、可持续性证据及决策支持相连接。该框架表明，以农民为中心、移动优先、可互操作且渐进实施的系统，有望增强生产力、盈利能力、议价能力、可追溯性和韧性，同时限制数字复杂性与排斥现象。",null,"Journal of Engineering and Applied Sciences Technology","2026-10-16T00:00:00Z","论文",10,false,66,{"impact":17,"substance":18,"depth":19,"authority":17,"freshness":20,"relevant":21,"comment":22},12,18,16,8,1,"综述提出面向独立油棕小农的数字化控制塔框架，整合生产、财务、交易与追溯，具方法参考价值，但属概念性文献综述、影响限于细分领域。",[24],{"name":10,"url":6},[26,27,28,29,30],"数字农业","油棕小农","供应链追溯","农场管理信息系统","移动优先",[],{"status":33,"locked":14,"version":34,"method":35,"evidence":36},"needs_review","2026-10-22.2","rules",{"candidates":37,"agricultural_evidence":41,"reason":59},[38,46,53],{"code":39,"score":40,"supported":41,"title":42,"abstract":43,"tags":45},"I1",7,true,[],[26,44],"digital agriculture",[26],{"code":47,"score":48,"supported":41,"title":49,"abstract":50,"tags":52},"G2",3,[],[51],"smallholder",[],{"code":54,"score":48,"supported":41,"title":55,"abstract":56,"tags":58},"I2",[],[57],"decision support",[],"多个产业证据相当，需要确认主归属",[61,62],"油棕小农 数字控制塔","油棕 供应链追溯","油棕小农数字控制塔-5184","10.47363\u002Fjeast\u002F2026(8)385",{"doi":64,"openalex_id":66,"authors":67,"venue":10,"cited_by_count":71,"oa_url":72,"card":73,"direction":77,"ingested_from":79},"W7222544277",[68],{"name":69,"orcid":70},"Loso Judijanto","https:\u002F\u002Forcid.org\u002F0009-0007-7766-0647",0,"https:\u002F\u002Fsrcpublishers.com\u002Fengineering-jeast\u002Farticle\u002Fdownload\u002F8218\u002F8554\u002F30389",{"tldr":74,"method":75,"finding":76,"direction":77,"opportunity":78},"综述提出整合生产、财务、交易与追溯的数字控制塔架构，服务独立油棕小农。","2020-2026年文献定性综述，主题综合七领域并构建概念框架。","关键不是记录数字化，而是建立测量到学习的闭环管理系统。","数字乡村与农业信息化","可研究小农场景下移动优先、可互操作控制塔的落地路径与采纳障碍。","openalex","2026-10-17T23:30:35.241393Z",{"total":82,"page":21,"page_size":82,"items":83},6,[84,141,198,254,334,399],{"id":85,"title":86,"url":87,"summary":88,"summary_zh":9,"content":9,"source_name":89,"source_url":87,"published_at":90,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":91,"score_detail":92,"sources":94,"tags":96,"primary_topic":100,"secondary_topics":105,"classification":106,"search_phrases":120,"slug":123,"view_count":71,"doi":124,"paper":125,"created_at":140},5579,"A Composite Field-Evaluation Framework for Digital Agriculture Maps","https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-11283264\u002Fv1","A Composite Field-Evaluation Framework for Digital Agriculture Maps。Research Square","Research Square","2026-10-21T00:00:00Z",38,{"impact":20,"substance":82,"depth":20,"authority":82,"freshness":13,"relevant":21,"comment":93},"预印本提出数字农业地图的田间复合评估框架，方法有一定新意，但摘要信息极少、未经同行评审，公共影响有限，暂不宜进入每日精选。",[95],{"name":89,"url":87},[26,97,98,99],"农业信息化","遥感","地图评估",{"code":39,"slug":101,"name":102,"path":103,"parent_code":104},"smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture","I",[],{"status":107,"locked":14,"version":34,"method":35,"evidence":108},"classified",{"candidates":109,"agricultural_evidence":41},[110,115],{"code":39,"score":111,"supported":41,"title":112,"abstract":113,"tags":114},13,[44],[44],[97,26],{"code":116,"score":21,"supported":14,"title":117,"abstract":118,"tags":119},"I3",[],[],[98],[121,122],"Research Square 数字农业","农业信息化 地图评估 数字农业 遥感","ResearchSquare数字农业-5579","10.21203\u002Frs.3.rs-11283264\u002Fv1",{"doi":124,"openalex_id":126,"authors":127,"venue":89,"cited_by_count":71,"oa_url":87,"card":9,"direction":77,"ingested_from":79},"W7223099987",[128,131,134,137],{"name":129,"orcid":130},"Phillip Lanza","https:\u002F\u002Forcid.org\u002F0000-0002-5545-1744",{"name":132,"orcid":133},"David G. Rossiter","https:\u002F\u002Forcid.org\u002F0000-0003-4558-1286",{"name":135,"orcid":136},"Diana Stuart Sinton","https:\u002F\u002Forcid.org\u002F0000-0001-5828-9001",{"name":138,"orcid":139},"Louis Longchamps","https:\u002F\u002Forcid.org\u002F0000-0002-4761-6094","2026-10-22T11:20:47.463814Z",{"id":142,"title":143,"url":144,"summary":145,"summary_zh":146,"content":9,"source_name":147,"source_url":144,"published_at":90,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":148,"score_detail":149,"sources":154,"tags":156,"primary_topic":161,"secondary_topics":162,"classification":163,"search_phrases":180,"slug":183,"view_count":71,"doi":184,"paper":185,"created_at":197},5578,"Unlocking digital agriculture through new quality productive forces: nonlinear thresholds and spatial spillovers in China","https:\u002F\u002Fdoi.org\u002F10.1057\u002Fs41599-026-09510-z","New quality productive forces (NQPF) critically enable agricultural digitisation. Using China as a case study, this paper employs panel data from 284 prefecture-level cities in China from 2011 to 2022. The results show that NQPF has a significant promoting effect on agricultural digital transformation and exhibits positive spatial spillover effects, driving not only local transformation but also the development of surrounding regions. Labour skills and innovation capacity play mediating roles in this process. Notably, the enabling effect of NQPF on agricultural digitisation displays significant regional heterogeneity. Threshold analysis indicates that its promoting effect follows a non-linear pattern, characterised by a double threshold effect. Therefore, the development of NQPF should be accelerated, with emphasis placed on regional coordination and talent cultivation, to promote the sustained and in-depth advancement of agricultural digital transformation in accordance with local conditions.","新质生产力（New Quality Productive Forces, NQPF）对农业数字化具有关键赋能作用。本文以中国为案例，采用2011—2022年中国284个地级市的面板数据。结果表明，新质生产力对农业数字化转型具有显著促进作用，并呈现正向空间溢出效应，不仅推动本地转型，也带动周边地区发展。劳动技能与创新能力在这一过程中发挥中介作用。值得注意的是，新质生产力对农业数字化的赋能效应表现出显著的区域异质性。门槛分析表明，其促进作用呈非线性特征，表现为双重门槛效应。因此，应加快新质生产力发展，注重区域协调与人才培养，因地制宜推动农业数字化转型持续深入推进。","Humanities and Social Sciences Communications",81,{"impact":18,"substance":150,"depth":18,"authority":151,"freshness":152,"relevant":21,"comment":153},22,14,9,"基于284个地级市面板数据的实证研究，揭示新质生产力对农业数字化的非线性门槛与空间溢出效应，方法规范、结论有政策参考价值，值得进入每日精选。",[155],{"name":147,"url":144},[26,157,158,159,160],"新质生产力","空间溢出","区域协调","农业数字化转型",{"code":39,"slug":101,"name":102,"path":103,"parent_code":104},[],{"status":107,"locked":14,"version":34,"method":35,"evidence":164},{"candidates":165,"agricultural_evidence":41},[166,170,175],{"code":39,"score":13,"supported":41,"title":167,"abstract":168,"tags":169},[44],[],[160,26],{"code":171,"score":21,"supported":14,"title":172,"abstract":173,"tags":174},"I4",[],[],[158],{"code":176,"score":21,"supported":14,"title":177,"abstract":178,"tags":179},"J2",[],[],[157],[181,182],"新质生产力 农业数字化","地级市 面板数据","新质生产力农业数字化-5578","10.1057\u002Fs41599-026-09510-z",{"doi":184,"openalex_id":186,"authors":187,"venue":147,"cited_by_count":71,"oa_url":144,"card":192,"direction":77,"ingested_from":79},"W7221723385",[188,190],{"name":189,"orcid":9},"Qingqing Huang",{"name":191,"orcid":9},"Wenjing Guo",{"tldr":193,"method":194,"finding":195,"direction":77,"opportunity":196},"基于中国284个地级市面板数据，检验新质生产力对农业数字化的促进、空间溢出与门槛效应。","2011—2022年284个地级市面板数据，空间计量与门槛回归，中介效应检验。","新质生产力显著促进农业数字化并具正向空间溢出，存在双门槛非线性效应与区域异质性。","可深入探究新质生产力影响农业数字化的微观机制，以及不同区域门槛条件下的差异化政策路径。","2026-10-22T11:20:47.354744Z",{"id":199,"title":200,"url":201,"summary":202,"summary_zh":9,"content":9,"source_name":203,"source_url":9,"published_at":204,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":205,"score_detail":206,"sources":208,"tags":210,"primary_topic":214,"secondary_topics":218,"classification":219,"search_phrases":240,"slug":243,"view_count":71,"doi":244,"paper":245,"created_at":253},5529,"数字农业技术采纳的驱动因素与障碍：基于复杂网络与演化博弈的分析","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1894648\u002Ffull","文章从演化博弈视角构建数字农业技术采纳的驱动与阻碍机制框架，系统梳理影响农户采纳数字农业技术的关键因素与障碍路径。研究强调通用大模型难以直接满足专业知识、结果依据与溯源能力要求，为政策设计提供了技术采纳侧的理论依据。","Frontiers in Sustainable Food Systems 2026-10-19","2026-10-19T00:00:00Z",67,{"impact":17,"substance":18,"depth":19,"authority":111,"freshness":20,"relevant":21,"comment":207},"从演化博弈视角分析农户采纳数字农业技术的驱动与障碍，方法有新意、结论有政策参考价值，但属理论性论文，影响范围限于细分领域。",[209],{"name":203,"url":201},[26,211,212,213],"智慧农业","技术采纳","农户行为",{"code":54,"slug":215,"name":216,"path":217,"parent_code":104},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",[],{"status":107,"locked":14,"version":34,"method":35,"evidence":220},{"candidates":221,"agricultural_evidence":41},[222,226,231,236],{"code":39,"score":111,"supported":41,"title":223,"abstract":224,"tags":225},[26],[26],[26,211],{"code":54,"score":48,"supported":41,"title":227,"abstract":228,"tags":230},[],[229],"大模型",[],{"code":232,"score":21,"supported":14,"title":233,"abstract":234,"tags":235},"G1",[],[],[212],{"code":47,"score":21,"supported":14,"title":237,"abstract":238,"tags":239},[],[],[213],[241,242],"数字农业 技术采纳 演化博弈","农户行为 技术采纳 数字农业 智慧农业","数字农业技术采纳演化博弈-5529","10.3389\u002Ffsufs.2026.1894648\u002Ffull",{"doi":244,"openalex_id":9,"authors":246,"venue":9,"cited_by_count":71,"oa_url":9,"card":247,"direction":77,"ingested_from":252},[],{"tldr":248,"method":249,"finding":250,"direction":77,"opportunity":251},"构建演化博弈框架分析农户采纳数字农业技术的驱动因素与障碍路径。","演化博弈建模与复杂网络分析，梳理采纳影响因素。","通用大模型难以满足专业知识、结果依据与溯源要求，需政策引导。","可结合实证数据检验博弈模型，并探索面向溯源与专业知识的专用农业模型设计。","agent","2026-10-22T00:07:09.498742Z",{"id":255,"title":256,"url":257,"summary":258,"summary_zh":259,"content":9,"source_name":260,"source_url":257,"published_at":261,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":262,"score_detail":263,"sources":267,"tags":269,"primary_topic":274,"secondary_topics":280,"classification":281,"search_phrases":311,"slug":314,"view_count":71,"doi":315,"paper":316,"created_at":333},5491,"Analysis of the Impact of Digital Technology on the Resilience of Anhui’s Agricultural Industry Chain: Threshold Effect of Relative Grain Yield","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010656","Improving the resilience of the agricultural industry chain to frequent external shocks and the intertwined agricultural production risks is critical for ensuring national food security and sustainable agricultural development. Taking the 16 prefecture-level cities in Anhui Province—a major grain-producing region in China—as the research sample, two composite proxy indices were constructed in this study; namely, an agricultural industry chain resilience index built upon aggregate official statistics (rather than direct observed shock-response outcomes) and an index capturing broad rural digital development instead of purely agriculture-specific digital adoption. Based on balanced panel data from 2015 to 2024, two-way fixed-effect, mediation-effect, and panel-threshold models were adopted in this study to examine the association, mediating mechanism, regional heterogeneity, and threshold characteristics conditioned on the relative grain yield. The empirical results show that the rural-oriented digital development index is significantly and robustly positively associated with our composite agricultural industry chain resilience proxy. Although agricultural TFP exhibits a statistically detectable partial mediating pattern in this correlational relationship, the economic magnitude of this indirect channel is extremely modest. As such, this finding indicates a potential theoretical transmission pathway rather than providing definitive empirical evidence for a causal mechanism. The promotion effect exhibits clear regional heterogeneity, with the strongest effect in Northern Anhui, followed by Central Anhui, while the coefficient is positive but insignificant in Southern Anhui. Furthermore, a single-threshold effect of the relative grain yield is identified; that is, the positive association between rural-oriented digital development and resilience proxy cannot be statistically detected when the grain yield remains below the threshold. Only after the agricultural grain yield increases can digital-related rural development release its resilience-related empowering dividends. We note that both composite indices are subject to measurement constraints linked to the local agricultural economic scale and broad rural digital conditions; these limitations are further discussed in the paper. This study provides empirical correlational evidence for the implementation of differentiated digital agriculture policies in major grain-producing provinces.","提升农业产业链对频繁外部冲击与交织叠加的农业生产风险的韧性，对保障国家粮食安全和农业可持续发展至关重要。本研究以中国粮食主产省安徽省的16个地级市为研究样本，构建了两个复合代理指标：一是基于官方统计数据总量（而非直接观测的冲击—响应结果）构建的农业产业链韧性指数，二是刻画农村数字化广泛发展（而非单纯农业领域数字化应用）的指数。基于2015—2024年平衡面板数据，本研究采用双向固定效应模型、中介效应模型和面板门槛模型，考察二者之间的关联、中介机制、区域异质性以及以相对粮食产量为条件变量的门槛特征。实证结果表明，农村导向的数字化发展指数与本研究的农业产业链韧性复合代理指标之间存在显著且稳健的正向关联。尽管农业全要素生产率在这一相关关系中呈现出统计上可检测的部分中介模式，但该间接渠道的经济量级极为有限。因此，这一发现指示的是一种潜在的理论传导路径，而非为因果机制提供确凿的实证证据。其促进效应表现出明显的区域异质性，皖北效应最强，皖中次之，皖南系数为正但不显著。此外，还识别出相对粮食产量的单一门槛效应，即当粮食产量低于门槛值时，农村导向的数字化发展与韧性代理指标之间的正向关联在统计上无法被检测到；只有在农业粮食产量提高之后，数字相关农村发展才能释放其韧性赋能红利。我们注意到，两个复合指数均受到与地方农业经济规模和农村数字化总体状况相关的测度约束；这些局限性在文中进一步讨论。本研究为粮食主产省实施差异化数字农业政策提供了实证相关性证据。","Sustainability","2026-10-20T00:00:00Z",74,{"impact":19,"substance":264,"depth":265,"authority":111,"freshness":20,"relevant":21,"comment":266},20,17,"基于安徽16市面板数据的实证研究，方法规范、结论有区域异质性价值，但属省级学术论文，公共影响有限，适合作为主题页聚合素材而非头条精选。",[268],{"name":260,"url":257},[26,270,271,272,273],"数字乡村","粮食安全","农业产业链韧性","安徽农业",{"code":275,"slug":276,"name":277,"path":278,"parent_code":279},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[],{"status":107,"locked":14,"version":34,"method":35,"evidence":282},{"candidates":283,"agricultural_evidence":41},[284,289,293,300,306],{"code":275,"score":40,"supported":41,"title":285,"abstract":286,"tags":288},[],[271,287],"food security",[271],{"code":39,"score":40,"supported":41,"title":290,"abstract":291,"tags":292},[],[26,44],[26],{"code":294,"score":82,"supported":41,"title":295,"abstract":296,"tags":299},"G",[],[297,298],"农村发展","rural development",[],{"code":301,"score":48,"supported":41,"title":302,"abstract":303,"tags":305},"J1",[],[304],"农业政策",[],{"code":307,"score":21,"supported":14,"title":308,"abstract":309,"tags":310},"I6",[],[],[270],[312,313],"安徽 农业产业链韧性 数字技术","安徽 粮食产量 数字乡村","安徽农业产业链韧性数字技术-5491","10.3390\u002Fsu182010656",{"doi":315,"openalex_id":317,"authors":318,"venue":260,"cited_by_count":71,"oa_url":257,"card":328,"direction":77,"ingested_from":79},"W7223005655",[319,322,324,326],{"name":320,"orcid":321},"Lan Ma","https:\u002F\u002Forcid.org\u002F0000-0003-2468-9917",{"name":323,"orcid":9},"Yuyan Li",{"name":325,"orcid":9},"张国亮",{"name":327,"orcid":9},"Yaoyao Li",{"tldr":329,"method":330,"finding":331,"direction":77,"opportunity":332},"以安徽16市面板数据检验农村数字发展对农业产业链韧性的影响及粮食产量门槛效应。","2015—2024年安徽16市平衡面板，双向固定效应、中介效应与面板门槛模型。","数字发展显著提升产业链韧性，存在粮食相对产量单门槛，且皖北效应最强、皖南不显著。","可细化数字技术指标、引入真实冲击响应韧性测度，并探究门槛形成机制与皖南失效原因。","2026-10-21T23:30:29.219265Z",{"id":335,"title":336,"url":337,"summary":338,"summary_zh":339,"content":9,"source_name":340,"source_url":337,"published_at":261,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":341,"score_detail":342,"sources":345,"tags":347,"primary_topic":352,"secondary_topics":358,"classification":359,"search_phrases":378,"slug":381,"view_count":71,"doi":382,"paper":383,"created_at":398},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)",59,{"impact":20,"substance":18,"depth":343,"authority":152,"freshness":152,"relevant":21,"comment":344},15,"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。",[346],{"name":340,"url":337},[26,348,349,350,351],"价值链","合作社","数字溯源","咖啡产业",{"code":353,"slug":354,"name":355,"path":356,"parent_code":357},"B3","tea-coffee","茶叶与咖啡","\u002Ftopic\u002Fhorticulture\u002Ftea-coffee","B",[],{"status":107,"locked":14,"version":34,"method":35,"evidence":360},{"candidates":361,"agricultural_evidence":41},[362,368,374],{"code":353,"score":343,"supported":41,"title":363,"abstract":365,"tags":367},[364],"coffee",[366,364],"咖啡",[351],{"code":47,"score":369,"supported":41,"title":370,"abstract":371,"tags":373},4,[],[372],"农民合作社",[349],{"code":39,"score":369,"supported":41,"title":375,"abstract":376,"tags":377},[],[44],[26],[379,380],"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":382,"openalex_id":384,"authors":385,"venue":340,"cited_by_count":71,"oa_url":337,"card":392,"direction":397,"ingested_from":79},"W7223041235",[386,388,390],{"name":387,"orcid":9},"Kedir Biftu",{"name":389,"orcid":9},"Kebede Hailu",{"name":391,"orcid":9},"Tadila Tadessa Qajela",{"tldr":393,"method":394,"finding":395,"direction":77,"opportunity":396},"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":400,"title":401,"url":402,"summary":403,"summary_zh":404,"content":9,"source_name":340,"source_url":402,"published_at":261,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":405,"score_detail":406,"sources":408,"tags":410,"primary_topic":414,"secondary_topics":415,"classification":416,"search_phrases":438,"slug":441,"view_count":71,"doi":442,"paper":443,"created_at":454},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":150,"depth":18,"authority":17,"freshness":152,"relevant":21,"comment":407},"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。",[409],{"name":340,"url":402},[26,211,411,412,413],"咖啡产业链","农业合作社","产品溯源",{"code":353,"slug":354,"name":355,"path":356,"parent_code":357},[],{"status":107,"locked":14,"version":34,"method":35,"evidence":417},{"candidates":418,"agricultural_evidence":41},[419,423,429,434],{"code":353,"score":151,"supported":41,"title":420,"abstract":421,"tags":422},[364],[366,364],[],{"code":232,"score":82,"supported":41,"title":424,"abstract":425,"tags":428},[],[426,427],"农业推广","agricultural extension",[],{"code":39,"score":430,"supported":41,"title":431,"abstract":432,"tags":433},5,[],[44],[26,211],{"code":47,"score":48,"supported":41,"title":435,"abstract":436,"tags":437},[],[372],[],[439,440],"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":442,"openalex_id":444,"authors":445,"venue":340,"cited_by_count":71,"oa_url":402,"card":449,"direction":397,"ingested_from":79},"W7223028195",[446,447,448],{"name":387,"orcid":9},{"name":389,"orcid":9},{"name":391,"orcid":9},{"tldr":450,"method":451,"finding":452,"direction":77,"opportunity":453},"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"]