[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2415":3,"related-2415":63},{"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":18,"tags":20,"primary_topic":9,"secondary_topics":24,"classification":25,"search_phrases":40,"slug":43,"view_count":44,"doi":45,"paper":46,"created_at":62},2415,"The role of supply chain intelligence on risk mitigation in manufacturing firms in Uganda","https:\u002F\u002Fdoi.org\u002F10.64080\u002Fndujis.2026.2.2.oct012","Manufacturing firms in Uganda operate within supply chains characterised by high baseline risk exposure, driven by infrastructural deficits, institutional volatility, and limited access to formal risk-management instruments. This narrative review examines the role of supply chain intelligence (SCI) — defined as the systematic acquisition, integration, analysis, and dissemination of supply chain data for risk-oriented decision support — in strengthening risk mitigation capabilities within Uganda’s manufacturing sector. The review is organised around a three-dimensional analytical framework encompassing risk visibility, decision agility, and contextual fit. Drawing on a synthesis of the global SCI literature and the limited but growing body of empirical work from Uganda, the review assesses the conceptual foundations and enabling technologies of SCI, catalogues the risk typologies prevalent in Ugandan manufacturing, evaluates the mechanisms through which SCI translates into risk mitigation outcomes, and analyses the barriers and enablers shaping SCI adoption in developing-country contexts. The evidence indicates that while SCI offers genuine potential for improving risk outcomes, its effectiveness is contingent on alignment with Uganda’s institutional and infrastructural realities. The review identifies a critical gap between the volume of developed-economy SCI research and the near-absence of primary empirical studies grounded in Ugandan manufacturing, and calls for context-specific research that tests SCI interventions under the conditions that characterise Uganda’s supply chain environment.","乌干达的制造企业运行于以高基线风险暴露为特征的供应链之中，其驱动因素包括基础设施赤字、制度波动性以及正规风险管理工具的获取受限。本文献综述考察了供应链智能（SCI）——定义为面向风险决策支持的供应链数据的系统性获取、整合、分析与传播——在增强乌干达制造业风险缓解能力中的作用。综述围绕一个涵盖风险可见性、决策敏捷性与情境适配性的三维分析框架展开。基于对全球SCI文献的综合梳理以及来自乌干达有限但不断增长的实证研究，本文评估了SCI的概念基础与使能技术，梳理了乌干达制造业中普遍存在的风险类型，评价了SCI转化为风险缓解结果的机制，并分析了在发展中国家情境下塑造SCI采纳的障碍与促进因素。证据表明，尽管SCI在改善风险结果方面具有真实潜力，但其有效性取决于能否与乌干达的制度与基础设施现实相契合。综述揭示了发达经济体SCI研究体量与以乌干达制造业为基础的原始实证研究近乎缺失之间的关键差距，并呼吁开展针对具体情境的研究，在乌干达供应链环境所特有的条件下检验SCI干预措施。",null,"Ndejje University Journal Of Interdisciplinary Studies","2026-09-11T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"研究对象为乌干达制造业供应链风险管理，与三农、农业信息化、智慧农业等主题无关，不予入选。",[19],{"name":10,"url":6},[21,22,23],"供应链韧性","制造业风险","乌干达",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":29},"needs_review","2026-10-22.2","rules",{"candidates":30,"agricultural_evidence":14,"reason":39},[31],{"code":32,"score":33,"supported":34,"title":35,"abstract":36,"tags":38},"I2",3,true,[],[37],"decision support",[],"农业相关性需要复核",[41,42],"供应链韧性 制造业风险 乌干达","供应链韧性 制造业风险","供应链韧性制造业风险乌干达-2415",1,"10.64080\u002Fndujis.2026.2.2.oct012",{"doi":45,"openalex_id":47,"authors":48,"venue":10,"cited_by_count":15,"oa_url":53,"card":54,"direction":60,"ingested_from":61},"W7212251500",[49,51],{"name":50,"orcid":9},"Christine Nabanoba",{"name":52,"orcid":9},"Geoffrey Ssebabi Mutumba","https:\u002F\u002Fndejjeuniversity.ac.ug\u002Fwp-content\u002Fuploads\u002F2026\u002F09\u002FThe-role-of-supply-chain-intelligence-on-risk-mitigation-in-manufacturing-firms-in-Uganda-1.pdf",{"tldr":55,"method":56,"finding":57,"direction":58,"opportunity":59},"综述供应链智能在乌干达制造业风险缓解中的作用，指出需情境化研究。","叙述性综述，整合全球SCI文献与乌干达有限实证，构建三维分析框架。","SCI有效但依赖乌干达制度与基础设施现实，缺乏本地实证研究。","数字乡村与农业信息化","可借鉴其情境化框架，研究发展中国家农业供应链智能的风险缓解机制与实证空白。","智慧农业 \u002F 农业物联网","openalex","2026-09-14T23:30:09.984273Z",{"total":64,"page":44,"page_size":64,"items":65},6,[66,135,191,244,300,382],{"id":67,"title":68,"url":69,"summary":70,"summary_zh":71,"content":9,"source_name":72,"source_url":69,"published_at":73,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":74,"score_detail":75,"sources":81,"tags":83,"primary_topic":9,"secondary_topics":88,"classification":89,"search_phrases":119,"slug":122,"view_count":15,"doi":123,"paper":124,"created_at":134},5545,"Regional digital finance and food supply-chain management resilience: evidence on the regional-to-firm conversion gap in China’s emerging listed food enterprises","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1948192","Food supply chains face climate shocks, logistics disruption, food-safety incidents and volatile demand, yet the relevance of regional digital finance for firm-level resilience remains uncertain. This study examines the association between a province-level digital-finance environment and an accounting-based food supply-chain resilience proxy among emerging listed food enterprises in China. Using public data for 122 eligible firms, we construct annual resistance, recovery and stability measures from revenue, operating cash flow and net margin; the common two-way fixed-effects sample contains 732 firm-year observations from 119 firms during 2017–2023. Regional digital finance is measured as a province-level external financial environment rather than firm-level digital transformation or adoption. Operational capability and regional consumption capacity are accounting- and province-level proxies and do not directly observe supplier coordination, traceability, cold-chain performance, or product-level demand. The preferred estimate is close to zero [beta = −0.005, SE = 0.063, 95% CI (−0.128, 0.117)]. Alternative covariance estimators, outcome definitions and timing specifications do not establish a stable positive within-firm association. The proxy-based operational-capability pathway and the conditional consumption-capacity association are likewise not established. Equivalence tests at 0.05 and 0.10 SCR-standard-deviation bounds are not significant, and the approximate 80% minimum detectable effect is 1.575 SCR standard deviations. The evidence therefore cannot distinguish a small contextual association from limited within-firm statistical precision. The findings support a bounded regional-to-firm conversion interpretation: regional finance may widen resource availability, but whether it is associated with resilience depends on unobserved operational conversion routines and food-sector coordination conditions.","食品供应链面临气候冲击、物流中断、食品安全事件和需求波动，但区域数字金融与企业层面韧性之间的关联仍不确定。本研究考察省级数字金融环境与中国新兴上市食品企业基于会计的食品供应链韧性代理指标之间的关联。利用122家合格企业的公开数据，我们从营业收入、经营现金流和净利润率构建年度抵抗能力、恢复能力和稳定性指标；共同双向固定效应样本包含2017—2023年间119家企业的732个企业—年度观测值。区域数字金融被衡量为省级外部金融环境，而非企业层面的数字化转型或采用。运营能力和区域消费能力为会计层面和省级层面的代理变量，并不直接观测供应商协调、可追溯性、冷链绩效或产品层面需求。首选估计值接近于零[beta = −0.005，SE = 0.063，95% CI（−0.128，0.117）]。替代协方差估计量、结果定义和时序设定均未能确立稳定的企业内正向关联。基于代理变量的运营能力路径和条件性消费能力关联同样未能确立。在0.05和0.10个SCR标准差边界上的等价性检验不显著，约80%的最小可检测效应为1.575个SCR标准差。因此，证据无法区分微小的情境性关联与有限的企业内统计精度。研究结果支持有界的情境到企业转化解释：区域金融可能拓宽资源可得性，但其是否与韧性相关联取决于未观测到的运营转化惯例和食品行业协调条件。","Frontiers in Sustainable Food Systems","2026-10-21T00:00:00Z",69,{"impact":76,"substance":77,"depth":78,"authority":79,"freshness":13,"relevant":44,"comment":80},8,21,17,13,"基于122家上市食品企业的严谨实证研究，发现区域数字金融与企业韧性关联接近于零，对数字乡村金融政策有边界性提示价值，但属细分学术结论，公共影响有限。",[82],{"name":72,"url":69},[84,85,21,86,87],"数字乡村","数字金融","农业企业","食品供应链",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":90},{"candidates":91,"agricultural_evidence":14,"reason":39},[92,98,104,109,114],{"code":93,"score":33,"supported":34,"title":94,"abstract":95,"tags":97},"E3",[],[96],"冷链",[],{"code":99,"score":33,"supported":34,"title":100,"abstract":101,"tags":103},"E4",[],[102],"食品安全",[],{"code":105,"score":44,"supported":14,"title":106,"abstract":107,"tags":108},"G2",[],[],[86],{"code":110,"score":44,"supported":14,"title":111,"abstract":112,"tags":113},"G3",[],[],[85],{"code":115,"score":44,"supported":14,"title":116,"abstract":117,"tags":118},"I6",[],[],[84],[120,121],"区域数字金融 食品供应链韧性","中国上市食品企业 供应链韧性","区域数字金融食品供应链韧性-5545","10.3389\u002Ffsufs.2026.1948192",{"doi":123,"openalex_id":125,"authors":126,"venue":72,"cited_by_count":15,"oa_url":69,"card":129,"direction":58,"ingested_from":61},"W7223086503",[127],{"name":128,"orcid":9},"Jieyu Zhao",{"tldr":130,"method":131,"finding":132,"direction":58,"opportunity":133},"检验省级数字金融环境与中国新兴上市食品企业供应链韧性之间的关系。","基于122家上市食品企业2017–2023年公开数据，构建双向固定效应模型与等价","区域数字金融与企业供应链韧性无稳定正相关，估计值接近零且不显著。","可研究区域金融资源如何经企业运营惯例转化为供应链韧性，并补充冷链、溯源等微观数据。","2026-10-22T11:20:15.297878Z",{"id":136,"title":137,"url":138,"summary":139,"summary_zh":140,"content":9,"source_name":72,"source_url":138,"published_at":141,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":142,"score_detail":143,"sources":148,"tags":150,"primary_topic":155,"secondary_topics":160,"classification":161,"search_phrases":171,"slug":174,"view_count":15,"doi":175,"paper":176,"created_at":190},4977,"Institutional capacity, FTA network breadth, and trade efficiency in China’s aquatic-product imports: evidence from a true random-effects stochastic frontier gravity model","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1963840","China’s rapidly expanding aquatic-product imports raise an important economic question: how fully do established supplier relationships realize the trade capacity supported by market scale, production capacity, and institutional conditions? Using a balanced panel of 16 major suppliers over 2013–2022, this study estimates a true random-effects stochastic frontier gravity model that separates persistent supplier heterogeneity from time-varying trade inefficiency. The results identify two distinct margins. China’s fishery-sector scale and supplier total aquatic-animal production expand the conditional import frontier, while stronger China-side logistics-service competence and broader supplier external FTA networks are associated with lower trade inefficiency and stronger frontier realization. The FTA-network relationship remains particularly consistent across alternative time controls, LPI annualization, supplier economic and governance controls, and broader PPML samples. Mean JLMS trade efficiency rises from 58.00% in 2013 to 89.21% in 2022. In 2022, observed imports of USD 18.41 billion correspond to a conditional frontier of approximately USD 20.65 billion, leaving a USD 2.24 billion conditional gap concentrated in a small number of large-frontier relationships. An efficiency–frontier matrix further distinguishes core high-realization suppliers, large-frontier relationships with greater room for realization, and efficient smaller suppliers that contribute diversification. These findings show that trade-capacity formation and trade-capacity realization are complementary dimensions of resilient aquatic-food supply chains.","中国水产品进口的快速扩张提出了一个重要经济问题：既有的供应关系在多大程度上实现了由市场规模、生产能力和制度条件所支撑的贸易潜力？本研究使用2013—2022年16个主要供应国的平衡面板数据，估计了一个真实随机效应随机前沿引力模型，将持续的供应国异质性与时变贸易非效率分离。结果识别出两个不同的边际。中国渔业部门规模与供应国水生动物总产量扩展了条件进口前沿，而中国侧更强的物流服务能力与供应国更广泛的外部FTA网络则与更低的贸易非效率和更强的前沿实现相关联。FTA网络关系在替代性时间控制、LPI年度化、供应国经济与治理控制变量以及更广泛的PPML样本中尤为一致。JLMS贸易效率均值从2013年的58.00%上升至2022年的89.21%。2022年，观测进口额为184.1亿美元，对应条件前沿约为206.5亿美元，留下22.4亿美元的条件缺口，集中分布于少数大前沿关系中。效率—前沿矩阵进一步区分了核心高实现供应国、具有更大实现空间的大前沿关系，以及促进多元化的高效较小供应国。这些发现表明，贸易能力形成与贸易能力实现是韧性水生食品供应链的互补维度。","2026-10-14T00:00:00Z",80,{"impact":144,"substance":145,"depth":144,"authority":79,"freshness":146,"relevant":44,"comment":147},18,22,9,"基于随机前沿引力模型量化中国水产品进口效率与FTA网络作用，方法新颖、数据扎实，对渔业贸易与供应链研究有参考价值。",[149],{"name":72,"url":138},[21,151,152,153,154],"渔业经济","水产品进口","贸易效率","自由贸易协定",{"code":156,"slug":157,"name":158,"path":159,"parent_code":9},"D","aquaculture","渔业水产","\u002Ftopic\u002Faquaculture",[],{"status":162,"locked":14,"version":27,"method":28,"evidence":163},"partial",{"candidates":164,"agricultural_evidence":34},[165],{"code":156,"score":64,"supported":34,"title":166,"abstract":167,"tags":170},[],[168,169],"水产","渔业",[],[172,173],"中国 水产品进口 贸易效率","FTA网络 水产 供应链","中国水产品进口贸易效率-4977","10.3389\u002Ffsufs.2026.1963840",{"doi":175,"openalex_id":177,"authors":178,"venue":72,"cited_by_count":15,"oa_url":138,"card":184,"direction":188,"ingested_from":61},"W7221751994",[179,181],{"name":180,"orcid":9},"Wei Yang",{"name":182,"orcid":183},"Kunlin Tang","https:\u002F\u002Forcid.org\u002F0009-0006-6237-3613",{"tldr":185,"method":186,"finding":187,"direction":188,"opportunity":189},"用随机效应随机前沿引力模型测算中国水产品进口贸易效率，并分析制度能力与FTA网络的影响。","2013–2022年16个主要供应国的平衡面板，真实随机效应随机前沿引力模型与J","中国渔业规模与供应国产量扩大进口前沿，物流能力与FTA网络广度降低贸易低效；平均效率由58%升至89","农业人工智能与决策模型","可将贸易效率—前沿矩阵思路迁移到农产品进口风险预警，结合FTA网络与物流指标构建供应链韧性决策模型。","2026-10-15T23:30:06.422355Z",{"id":192,"title":193,"url":194,"summary":195,"summary_zh":196,"content":9,"source_name":72,"source_url":194,"published_at":197,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":198,"score_detail":199,"sources":202,"tags":204,"primary_topic":9,"secondary_topics":209,"classification":210,"search_phrases":222,"slug":225,"view_count":44,"doi":226,"paper":227,"created_at":243},4872,"Forest-food supply chain resilience in mountain outdoor regions: a reconfigurability perspective","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1962537","Introduction Forest-based food supply chains face ecological seasonality, dispersed production, perishability, and uneven transport access. This study examines how organizational capabilities combine to support forest-based food supply-chain resilience (FFSCR) from a reconfigurability perspective. Methods The analysis draws on 409 managerial questionnaires nested within 50 firms in Zhangjiajie, Xishuangbanna, and Changbai Mountain. Measurement quality was evaluated at the respondent level, and construct scores were aggregated to the firm level, supported by ICC(1) values of 0.251–0.342 and ICC(2) values of 0.732–0.809. Necessary Condition Analysis (NCA) and fuzzy-set Qualitative Comparative Analysis (fsQCA) were applied to examine necessary constraints and sufficient configurations. Results Reconfiguration readiness was the only condition meeting both the substantive and statistical NCA criteria ( d = 0.123, p \u003C 0.001) and the fsQCA necessity criterion (consistency = 0.921; coverage = 0.848). Five intermediate configurations generated high FFSCR, with overall consistency of 0.945 and coverage of 0.883. Reconfiguration readiness appeared in all five configurations, while partner resilience was a core condition in four. Robustness checks using 90th\u002F70th\u002F10th-percentile recalibration reproduced the five configurations (consistency = 0.950; coverage = 0.886) and maintained the necessity of reconfiguration readiness (NCA d = 0.110, p \u003C 0.001; fsQCA consistency = 0.926). Discussion Reconfiguration readiness functions as an enabling constraint rather than a sufficient condition on its own. Relational, agile, financial, flexible, and technological capabilities provide alternative mechanisms through which firms convert readiness into resilient supply-chain performance.","引言 林源食品供应链面临生态季节性、生产分散性、易腐性以及运输可达性不均等挑战。本研究从可重构性视角出发，考察组织能力如何组合以支撑林源食品供应链韧性（forest-based food supply-chain resilience, FFSCR）。方法 分析基于张家界、西双版纳和长白山地区50家企业中嵌套的409份管理者问卷。测量质量在受访者层面进行评估，并将构念得分聚合至企业层面，得到ICC(1)值为0.251–0.342、ICC(2)值为0.732–0.809的支持。采用必要条件分析（Necessary Condition Analysis, NCA）与模糊集定性比较分析（fuzzy-set Qualitative Comparative Analysis, fsQCA）检验必要约束条件与充分组态。结果 可重构准备度是唯一同时满足NCA实质性与统计性标准（d = 0.123, p \u003C 0.001）以及fsQCA必要性标准（一致性 = 0.921；覆盖度 = 0.848）的条件。五种中间组态产生了高FFSCR，总体一致性为0.945，覆盖度为0.883。可重构准备度出现在全部五种组态中，而合作伙伴韧性在四种组态中为核心条件。采用第90\u002F70\u002F10百分位重新校准的稳健性检验复现了这五种组态（一致性 = 0.950；覆盖度 = 0.886），并维持了可重构准备度的必要性（NCA d = 0.110, p \u003C 0.001；fsQCA一致性 = 0.926）。讨论 可重构准备度发挥使能约束的作用，而非自身即为充分条件。关系能力、敏捷能力、财务能力、灵活能力与技术能力提供了替代机制，使企业将准备度转化为韧性供应链绩效。","2026-10-13T00:00:00Z",74,{"impact":200,"substance":145,"depth":144,"authority":79,"freshness":146,"relevant":44,"comment":201},12,"基于三地50家企业409份问卷的fsQCA实证研究，方法规范、结论有新意，但属细分领域学术成果，公共影响有限，适合作为专业向精选。",[203],{"name":72,"url":194},[21,205,206,207,208],"林下经济","农业经营主体","fsQCA","森林食品",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":211},{"candidates":212,"agricultural_evidence":14,"reason":39},[213,217],{"code":105,"score":44,"supported":14,"title":214,"abstract":215,"tags":216},[],[],[206],{"code":218,"score":44,"supported":14,"title":219,"abstract":220,"tags":221},"G4",[],[],[205],[223,224],"张家界 西双版纳 长白山 森林食品","森林食品 供应链韧性 组织能力","张家界西双版纳长白山森林食品-4872","10.3389\u002Ffsufs.2026.1962537",{"doi":226,"openalex_id":228,"authors":229,"venue":72,"cited_by_count":15,"oa_url":194,"card":238,"direction":58,"ingested_from":61},"W7221622529",[230,232,234,236],{"name":231,"orcid":9},"Qianlan Chen",{"name":233,"orcid":9},"Huan Liang",{"name":235,"orcid":9},"Xi Deng",{"name":237,"orcid":9},"Yuelin Ren",{"tldr":239,"method":240,"finding":241,"direction":58,"opportunity":242},"基于可重构视角，研究山区林下食品供应链韧性如何由多种组织能力组合形成。","409份管理者问卷、50家企业，用NCA与fsQCA分析必要条件与充分组态。","可重构准备度是唯一必要条件，五条组态路径均含该条件，伙伴韧性在四条中为核心。","可将可重构准备度与数字技术能力结合，探索山区林下食品供应链的数字化韧性组态机制。","2026-10-14T23:30:07.087827Z",{"id":245,"title":246,"url":247,"summary":248,"summary_zh":249,"content":9,"source_name":250,"source_url":247,"published_at":251,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":252,"score_detail":253,"sources":256,"tags":258,"primary_topic":263,"secondary_topics":269,"classification":270,"search_phrases":284,"slug":287,"view_count":15,"doi":288,"paper":289,"created_at":299},4654,"The Role of Indigenous Knowledge in Climate-Smart Agriculture: A Case Study of Weather Forecasting in Uganda","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23283885","The Role of Indigenous Knowledge in Climate-Smart Agriculture: A Case Study of Weather Forecasting in Uganda。Zenodo (CERN European Organization for Nuclear Research)","本土知识在气候智慧型农业中的作用：乌干达天气预报案例研究。Zenodo（CERN欧洲核子研究组织）","Zenodo (CERN European Organization for Nuclear Research)","2026-10-10T00:00:00Z",67,{"impact":200,"substance":144,"depth":254,"authority":79,"freshness":76,"relevant":44,"comment":255},16,"非洲本土知识与气候智慧农业结合的案例研究，对国内农业气象信息化有借鉴价值，但地域相关性有限。",[257],{"name":250,"url":247},[259,260,23,261,262],"智慧农业","气候智慧农业","传统知识","气象预报",{"code":264,"slug":265,"name":266,"path":267,"parent_code":268},"I1","smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture","I",[],{"status":271,"locked":14,"version":27,"method":28,"evidence":272},"classified",{"candidates":273,"agricultural_evidence":34},[274,279],{"code":264,"score":200,"supported":34,"title":275,"abstract":277,"tags":278},[276],"smart agriculture",[276],[259],{"code":280,"score":44,"supported":14,"title":281,"abstract":282,"tags":283},"H7",[],[],[260],[285,286],"乌干达 气象预报 传统知识","气候智慧农业 土著知识","乌干达气象预报传统知识-4654","10.5281\u002Fzenodo.23283885",{"doi":288,"openalex_id":290,"authors":291,"venue":250,"cited_by_count":15,"oa_url":247,"card":294,"direction":60,"ingested_from":61},"W7221309644",[292],{"name":293,"orcid":9},"Academians Publishers",{"tldr":295,"method":296,"finding":297,"direction":58,"opportunity":298},"研究乌干达土著知识在气候智慧型农业天气预测中的作用。","案例研究，结合土著知识与气候智慧型农业。","土著天气预测知识对气候智慧型农业有重要价值。","可将土著天气预测知识与现代气象数据融合，开发本地化农业决策支持系统。","2026-10-11T23:30:07.345273Z",{"id":301,"title":302,"url":303,"summary":304,"summary_zh":305,"content":9,"source_name":306,"source_url":303,"published_at":307,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":308,"score_detail":309,"sources":311,"tags":313,"primary_topic":317,"secondary_topics":323,"classification":334,"search_phrases":365,"slug":368,"view_count":33,"doi":369,"paper":370,"created_at":381},3613,"AI-Assisted Demand Forecasting and Production Scheduling for High-Volume Food Manufacturing in Saudi Arabia: A Food Security Framework for Vision 2030","https:\u002F\u002Fdoi.org\u002F10.64388\u002Firev10i3-1723457","High-volume food manufacturing in Saudi Arabia is increasingly exposed to volatile demand, short product life cycles, promotion-driven peaks, imported input dependencies, capacity bottlenecks, and the operational consequences of seasonal and religious events. These conditions make demand forecasting and production scheduling inseparable rather than sequential planning tasks. This review synthesizes research published between 2020 and 2025 on artificial intelligence-assisted demand forecasting, perishable-product planning, finite-capacity scheduling, digital-twin-enabled decision support, and food supply-chain resilience. The study develops an integrated framework in which demand sensing produces probabilistic forecasts that are translated into production decisions through capacity, shelf-life, sanitation, changeover, labour, inventory, and service constraints. Evidence indicates that machine-learning and deep-learning methods can improve forecast accuracy when promotions, weather, calendar events, regional variation, and censored demand are represented appropriately, while optimization models can convert these signals into feasible schedules that reduce changeovers, waste, shortages, and unstable resource use [1-8]. The review also identifies a persistent implementation gap: forecasting studies often stop at predictive accuracy, whereas scheduling studies frequently assume demand inputs are fixed and reliable. The proposed framework closes this gap by linking forecast uncertainty, rolling-horizon scheduling, execution feedback, and food-security outcomes. For Saudi manufacturers, the value of this integration lies not only in lower cost, but also in improving product availability, freshness, localized processing capacity, shock recovery, and evidence-based management under Vision 2030. The paper concludes with a staged implementation roadmap and research priorities for explainability, cross-site scheduling, event-aware forecasting, data governance, and resilient planning.","沙特阿拉伯的大规模食品制造日益面临需求波动、产品生命周期短、促销驱动的峰值、进口原料依赖、产能瓶颈以及季节性和宗教事件的运营影响。这些条件使得需求预测与生产调度成为不可分割的任务，而非顺序规划任务。本文综述了2020年至2025年间发表的相关研究，涵盖人工智能辅助需求预测、易腐产品规划、有限产能调度、数字孪生赋能的决策支持以及食品供应链韧性。研究构建了一个集成框架，其中需求感知产生概率预测，并通过产能、保质期、卫生、换产、劳动力、库存和服务约束转化为生产决策。证据表明，当促销、天气、日历事件、区域差异和截尾需求得到适当表征时，机器学习和深度学习方法能够提高预测精度，而优化模型可将这些信号转化为可行的调度方案，从而减少换产、浪费、缺货和不稳定的资源使用[1-8]。本综述还指出了一个持续存在的实施缺口：预测研究往往止步于预测精度，而调度研究则常常假设需求输入是固定且可靠的。所提出的框架通过将预测不确定性、滚动时域调度、执行反馈和食品安全结果联系起来，弥合了这一缺口。对于沙特制造商而言，这种集成的价值不仅在于降低成本，还在于改善产品可得性、新鲜度、本地化加工能力、冲击恢复能力以及“2030愿景”下的循证管理。本文最后提出了分阶段实施路线图以及可解释性、跨厂区调度、事件感知预测、数据治理和韧性规划方面的研究优先事项。","Iconic Research and Engineering Journals","2026-09-25T00:00:00Z",60,{"impact":200,"substance":144,"depth":254,"authority":64,"freshness":76,"relevant":44,"comment":310},"综述性论文，提出AI需求预测与生产排程整合框架，对智慧农业与粮食安全有参考价值，但属境外研究且期刊权威性一般。",[312],{"name":306,"url":303},[259,314,315,21,316],"农业人工智能","粮食安全","生产调度",{"code":318,"slug":319,"name":320,"path":321,"parent_code":322},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[324,330],{"code":325,"slug":326,"name":327,"path":328,"parent_code":329},"E1","food-processing","加工与食品制造","\u002Ftopic\u002Ffood-supply\u002Ffood-processing","E",{"code":32,"slug":331,"name":332,"path":333,"parent_code":268},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",{"status":271,"locked":14,"version":27,"method":28,"evidence":335},{"candidates":336,"agricultural_evidence":34},[337,343,350,355,361],{"code":325,"score":338,"supported":34,"title":339,"abstract":341,"tags":342},11,[340],"food manufacturing",[340],[],{"code":32,"score":13,"supported":34,"title":344,"abstract":345,"tags":349},[],[346,347,348,37],"深度学习","机器学习","artificial intelligence",[314],{"code":318,"score":146,"supported":34,"title":351,"abstract":353,"tags":354},[352],"food security",[],[315],{"code":264,"score":356,"supported":34,"title":357,"abstract":358,"tags":360},4,[],[359],"数字孪生",[259],{"code":99,"score":33,"supported":34,"title":362,"abstract":363,"tags":364},[],[102],[],[366,367],"沙特阿拉伯 食品制造 需求预测","Vision 2030 粮食安全","沙特阿拉伯食品制造需求预测-3613","10.64388\u002Firev10i3-1723457",{"doi":369,"openalex_id":371,"authors":372,"venue":306,"cited_by_count":15,"oa_url":375,"card":376,"direction":60,"ingested_from":61},"W7214295236",[373],{"name":374,"orcid":9},"Atif Maqbool Syed","https:\u002F\u002Fwww.irejournals.com\u002Fformatedpaper\u002F1723457.pdf",{"tldr":377,"method":378,"finding":379,"direction":188,"opportunity":380},"综述2020-2025年AI需求预测与生产调度研究，提出沙特食品制造整合框架以保障Vision 20","文献综述2020-2025年AI预测、易腐品规划、有限产能调度与数字孪生研究。","预测研究止于精度、调度研究假设需求固定，整合框架可弥合实施鸿沟并提升粮食安全。","可研究事件感知预测与滚动调度耦合、跨工厂协同及可解释AI在食品供应链韧性中的应用。","2026-09-27T23:30:14.516185Z",{"id":383,"title":384,"url":385,"summary":386,"summary_zh":387,"content":9,"source_name":388,"source_url":385,"published_at":389,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":390,"score_detail":391,"sources":394,"tags":396,"primary_topic":399,"secondary_topics":400,"classification":401,"search_phrases":433,"slug":436,"view_count":411,"doi":437,"paper":438,"created_at":450},3549,"Artificial Intelligence-Based Innovations for Environmental Management in Uganda: A Scoping Review of Current Innovations","https:\u002F\u002Fdoi.org\u002F10.64643\u002Fjatir.141025","Uganda's extraordinary biodiversity, encompassing the Albertine Rift's endangered primate populations, East Africa's most significant freshwater wetland systems, and montane forest corridors of global conservation significance, is under compound and steadily accelerating environmental stress from widespread deforestation, wetland encroachment, agricultural expansion, climate variability, and persistently inadequate environmental governance capacity.Simultaneously, artificial intelligence technologies are undergoing rapid global deployment across environmental monitoring, predictive modelling, natural resource management, and climate adaptation domains, raising the question of whether these innovations are reaching contexts such as Uganda.This scoping review systematically maps the emerging landscape of artificial intelligence applications in environmental management in Uganda, examining which specific technologies have been deployed or piloted, across which environmental domains, by which actor types, and with what documented outcomes or limitations.A systematic search of peer-reviewed literature, grey literature, policy documents, and institutional reports published between 2020 and 2026 was conducted across five databases, ultimately yielding just 18 studies and reports meeting inclusion criteria after careful screening of 247 initial records identified.Findings reveal that artificial intelligence applications in Ugandan environmental management remain genuinely promising yet geographically and thematically concentrated, with remote sensing and machine learning applications for land cover change detection and forest monitoring constituting the single dominant application cluster identified.Applications in wetland management, water quality monitoring, wildlife protection, and climate adaptation do exist but remain isolated, under-resourced, and poorly integrated into government environmental governance frameworks.Critical cross-cutting barriers, including persistent data infrastructure deficits, digital skills shortages, electricity access constraints, and an underdeveloped AI policy ecosystem, systematically limit the effective translation of global AI innovations into practical, Uganda-specific environmental management solutions.The review concludes by proposing an AI-Environmental Governance Integration Framework","乌干达拥有非凡的生物多样性，涵盖艾伯丁裂谷（Albertine Rift）的濒危灵长类动物种群、东非最重要的淡水湿地系统以及具有全球保护意义的山地森林廊道，然而这些生态系统正面临来自大面积森林砍伐、湿地侵占、农业扩张、气候变率以及长期不足的环境治理能力的复合且持续加速的环境压力。与此同时，人工智能技术正在全球范围内迅速部署于环境监测、预测建模、自然资源管理和气候适应等领域，这引发了一个问题：这些创新是否正在惠及乌干达等地区。本范围综述（scoping review）系统梳理了乌干达环境管理中人工智能应用的新兴图景，考察了哪些具体技术已被部署或试点、涉及哪些环境领域、由哪些类型的行动者实施，以及有哪些已记录的结果或局限。研究对2020年至2026年间发表的同行评审文献、灰色文献、政策文件和机构报告在五个数据库中进行了系统检索，在仔细筛选初步识别的247条记录后，最终仅有18项研究和报告符合纳入标准。研究结果表明，人工智能在乌干达环境管理中的应用确实具有前景，但在地理和主题上高度集中，其中用于土地覆盖变化检测和森林监测的遥感与机器学习应用构成了唯一占主导地位的应用集群。湿地管理、水质监测、野生动物保护和气候适应方面的应用确实存在，但仍然孤立、资源不足，且未能有效纳入政府环境治理框架。关键的跨领域障碍，包括持续存在的数据基础设施赤字、数字技能短缺、电力获取限制以及欠发达的人工智能政策生态系统，系统性地限制了全球人工智能创新向乌干达本土化环境管理解决方案的有效转化。综述最后提出了一个人工智能-环境治理整合框架（AI-Environmental Governance Integration Framework）。","OpenAlex","2026-09-24T00:00:00Z",66,{"impact":76,"substance":392,"depth":78,"authority":200,"freshness":146,"relevant":44,"comment":393},20,"系统梳理乌干达AI环境管理应用的综述论文，方法规范、结论可靠，但属区域性研究且与三农信息化关联偏间接，公共影响有限。",[395],{"name":388,"url":385},[259,314,397,398,23],"环境治理","遥感监测",{"code":32,"slug":331,"name":332,"path":333,"parent_code":268},[],{"status":271,"locked":14,"version":27,"method":28,"evidence":402},{"candidates":403,"agricultural_evidence":34},[404,409,417,424,429],{"code":32,"score":144,"supported":34,"title":405,"abstract":406,"tags":408},[348],[347,407,348],"machine learning",[314],{"code":410,"score":411,"supported":34,"title":412,"abstract":413,"tags":416},"I3",7,[],[414,415],"遥感","remote sensing",[398],{"code":418,"score":64,"supported":34,"title":419,"abstract":420,"tags":423},"H6",[],[421,422],"生物多样性","biodiversity",[],{"code":280,"score":33,"supported":34,"title":425,"abstract":426,"tags":428},[],[427],"气候适应",[],{"code":264,"score":44,"supported":14,"title":430,"abstract":431,"tags":432},[],[],[259],[434,435],"乌干达 人工智能 环境管理","AI 遥感 森林监测","乌干达人工智能环境管理-3549","10.64643\u002Fjatir.141025",{"doi":437,"openalex_id":439,"authors":440,"venue":9,"cited_by_count":15,"oa_url":443,"card":444,"direction":60,"ingested_from":61},"W7214195868",[441],{"name":442,"orcid":9},"Henry Omara","https:\u002F\u002Fjatir.org\u002Fpublishedpapers\u002F141025_PAPER.pdf",{"tldr":445,"method":446,"finding":447,"direction":448,"opportunity":449},"综述乌干达环境管理中AI应用现状，发现应用集中于遥感与森林监测，整体零散且受基础设施制约。","系统检索2020-2026年五个数据库的文献与政策报告，筛选出18项研究做范围综","AI应用有前景但地理与主题集中，湿地、水质、野生动物等领域应用孤立，数据与政策短板明显。","农业遥感与作物表型","可研究低成本遥感与机器学习在乌干达湿地、水质及小农农业环境监测中的落地路径与治理整合。","2026-09-26T23:30:15.512560Z"]