[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3018":3,"related-3018":54},{"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,"search_phrases":31,"slug":34,"view_count":35,"doi":36,"paper":37,"created_at":53},3018,"AGROPORTAL YAGONA PLATFORMASI ORQALI YER RESURSLARI TO‘G‘RISIDAGI MA’LUMOTLARNI INTEGRATSIYALASH: MUAMMOLAR VA YECHIMLAR","https:\u002F\u002Fdoi.org\u002F10.67048\u002Fqxju2026ai128iss7m1054","This scientific article provides a systematic analysis of the current state, achieved results, and existing challenges in implementing digital technologies within the agricultural sector of the Republic of Uzbekistan for 2025–2026. The paper highlights the “Digital Uzbekistan 2030” strategy, the Presidential Decree of August 2025, the unified “Digital Agriculture” platform (Agroportal), and legislative innovations concerning the digitalization of the agricultural support system. Based on statistical data and ongoing projects, prospective directions for the sector’s digital transformation are identified.","本文系统分析了2025—2026年乌兹别克斯坦共和国农业领域数字技术实施的现状、已取得的成果及现有挑战。文章重点阐述了“数字乌兹别克斯坦2030”战略、2025年8月总统令、统一的“数字农业”平台（Agroportal），以及涉及农业支持体系数字化的立法创新。基于统计数据及正在实施的项目，本文明确了该领域数字化转型的前景方向。",null,"Agro ilm","2026-09-18T00:00:00Z","论文",10,false,77,{"impact":17,"substance":18,"depth":19,"authority":13,"freshness":20,"relevant":21,"comment":22},22,20,17,8,1,"系统梳理乌兹别克斯坦农业数字化平台与政策进展，含2025年总统令等实质信息，对农业信息化研究有参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"数字农业","智慧农业","农业政策","农业数据整合","数字乌兹别克斯坦",[32,33],"乌兹别克斯坦 Agroportal 数字农业","数字乌兹别克斯坦 农业数据整合 农业政策 数字农业","乌兹别克斯坦Agroportal数字农业-3018",0,"10.67048\u002Fqxju2026ai128iss7m1054",{"doi":36,"openalex_id":38,"authors":39,"venue":10,"cited_by_count":35,"oa_url":6,"card":46,"direction":50,"ingested_from":52},"W7213649986",[40,43],{"name":41,"orcid":42},"Maxfuza Abdullayeva","https:\u002F\u002Forcid.org\u002F0009-0000-6004-6260",{"name":44,"orcid":45},"Islam Akramov","https:\u002F\u002Forcid.org\u002F0009-0009-1574-1534",{"tldr":47,"method":48,"finding":49,"direction":50,"opportunity":51},"分析乌兹别克斯坦农业数字化现状，聚焦Agroportal平台整合土地资源数据的问题与对策。","基于统计数据和政策文件，系统分析2025-2026年农业数字化进展。","Agroportal平台是土地资源数据整合的关键，但面临数据集成与制度障碍。","数字乡村与农业信息化","可研究土地资源数据跨部门整合的互操作机制与农户采纳影响因素。","openalex","2026-09-20T23:30:28.150963Z",{"total":55,"page":21,"page_size":55,"items":56},6,[57,103,143,177,211,235],{"id":58,"title":59,"url":60,"summary":61,"summary_zh":62,"content":9,"source_name":63,"source_url":60,"published_at":64,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":65,"score_detail":66,"sources":70,"tags":72,"search_phrases":76,"slug":79,"view_count":35,"doi":80,"paper":81,"created_at":102},2782,"Development of a Wearable Sensor-PAM for Continuous Monitoring of Photosynthetic Dynamics","https:\u002F\u002Fdoi.org\u002F10.64898\u002F2026.09.12.751108","Continuous monitoring of photosynthetic performance is essential for understanding plant responses to fluctuating environments and has important applications in plant physiology, field phenotyping, and digital agriculture. However, conventional pulse-amplitude modulation (PAM) fluorometers are primarily designed for point measurements and are not suitable for long-term monitoring while attached to intact leaves. Here, we developed Sensor-PAM, a wearable chlorophyll fluorescence measurement system capable of continuously monitoring photosynthetic dynamics from the abaxial side of a leaf. The system combines a commercially available color sensor with blue LEDs in a compact, low-cost optical design to perform PAM measurements. Chlorophyll fluorescence measured from the abaxial leaf surface showed a strong correlation with conventional adaxial measurements and accurately reflected changes in photosynthetic performance induced by chilling and high-light stress. Measurements obtained using Sensor-PAM also showed good agreement with those from a commercial PAM fluorometer across diverse plant species. Furthermore, the wearable system enabled continuous monitoring of the effective quantum yield of photosystem II [Y(II)] from the same position on the same strawberry leaf for three days under both greenhouse and outdoor conditions, successfully capturing photosynthetic responses to changing irradiance and temperature in real time. These findings establish Sensor-PAM as a wearable platform for continuous chlorophyll fluorescence monitoring, extending conventional PAM fluorometry from point-based measurements to long-term monitoring of photosynthetic dynamics under natural environmental conditions.","连续监测光合性能对于理解植物对波动环境的响应至关重要，在植物生理学、田间表型分析和数字农业中具有重要应用。然而，传统的脉冲振幅调制（PAM）荧光仪主要设计用于单点测量，不适合在附着于完整叶片的情况下进行长期监测。在此，我们开发了Sensor-PAM，一种可穿戴叶绿素荧光测量系统，能够从叶片远轴面连续监测光合动态。该系统将市售颜色传感器与蓝色LED相结合，采用紧凑、低成本的光学设计来执行PAM测量。从叶片远轴面测得的叶绿素荧光与传统近轴面测量结果高度相关，并准确反映了低温胁迫和高光胁迫引起的光合性能变化。使用Sensor-PAM获得的测量结果在不同植物物种中也与商用PAM荧光仪的结果吻合良好。此外，该可穿戴系统能够在温室和户外条件下，对同一片草莓叶片同一位置连续三天监测光系统II有效量子产率[Y(II)]，成功实时捕捉了光合作用对光照和温度变化的响应。这些发现确立了Sensor-PAM作为一种可穿戴叶绿素荧光监测平台，将传统PAM荧光测定从单点测量扩展到自然环境下光合动态的长期监测。","bioRxiv (Cold Spring Harbor Laboratory)","2026-09-17T00:00:00Z",81,{"impact":67,"substance":17,"depth":67,"authority":68,"freshness":13,"relevant":21,"comment":69},18,13,"可穿戴叶绿素荧光监测系统实现叶片光合动态连续监测，方法新颖、数据扎实，对作物表型与数字农业有实用价值，值得进入每日精选。",[71],{"name":63,"url":60},[26,27,73,74,75],"叶绿素荧光","可穿戴传感器","光合表型",[77,78],"可穿戴传感器 叶绿素荧光 光合表型 数字农业","可穿戴传感器 叶绿素荧光","可穿戴传感器叶绿素荧光光合表型数字农业-2782","10.64898\u002F2026.09.12.751108",{"doi":80,"openalex_id":82,"authors":83,"venue":63,"cited_by_count":35,"oa_url":60,"card":96,"direction":100,"ingested_from":52},"W7213448370",[84,87,90,93],{"name":85,"orcid":86},"Ko‐ichiro Miyamoto","https:\u002F\u002Forcid.org\u002F0000-0001-7889-6714",{"name":88,"orcid":89},"Kentaro Ifuku","https:\u002F\u002Forcid.org\u002F0000-0003-0241-8008",{"name":91,"orcid":92},"Tatsuo Yoshinobu","https:\u002F\u002Forcid.org\u002F0000-0001-7993-716X",{"name":94,"orcid":95},"Kaori Kohzuma","https:\u002F\u002Forcid.org\u002F0000-0003-3899-543X",{"tldr":97,"method":98,"finding":99,"direction":100,"opportunity":101},"开发了可穿戴叶绿素荧光系统Sensor-PAM，实现叶片背面光合动态连续监测。","低成本颜色传感器与蓝光LED集成，进行PAM测量并验证。","背面测量与常规正面测量强相关，可连续三天监测草莓叶片Y(II)动态。","农业遥感与作物表型","可穿戴荧光传感器为田间高通量表型提供新手段，可探索多物种长期监测与数据融合。","2026-09-17T23:30:29.467723Z",{"id":104,"title":105,"url":106,"summary":107,"summary_zh":108,"content":9,"source_name":109,"source_url":106,"published_at":110,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":111,"score_detail":112,"sources":115,"tags":117,"search_phrases":121,"slug":124,"view_count":35,"doi":125,"paper":126,"created_at":142},2542,"Discrete Element Method-Based Modeling and Application of Agricultural Materials: A Review","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fagriculture16181958","Discrete element method (DEM) has become an essential tool for analyzing particle-scale behavior and complex interactions in agricultural materials and machinery. This review synthesizes recent advances in DEM-based modeling and applications in agricultural engineering. It systematically examines particle modeling strategies, contact model development, and parameter calibration frameworks for representative materials such as soil, seeds, fertilizers, stalks, and roots. The evolution from simple spherical approximations to multi-sphere, bonded, and 3D scan-based reconstructions is highlighted, along with the shift from classical Hertz–Mindlin models to cohesive, elasto-plastic, and fracture-capable formulations. Calibration methods are traced from empirical assignment to systematic frameworks that integrate design of experiments, response surface methodology, and machine-learning-assisted inverse analysis. These advances in fidelity and accuracy have enabled extensive DEM applications in tillage, seeding, fertilization, and harvesting, with emphasis on equipment optimization, mechanism analysis, and performance prediction. Despite the progress, challenges remain in model standardization, parameter transferability, computational cost, and multiphysics coupling. Future work points to unified modeling frameworks, standardized databases, real-time simulation, and integration with artificial intelligence to support digital agriculture and intelligent machinery. This review aims to serve as a reference for high-fidelity DEM modeling and for advancing the digital transformation of agricultural engineering.","离散元法（DEM）已成为分析农业物料与机械中颗粒尺度行为及复杂相互作用的重要工具。本文综述了基于DEM的建模与农业工程应用的最新进展，系统考察了土壤、种子、肥料、茎秆和根系等代表性物料的颗粒建模策略、接触模型开发及参数标定框架。重点阐述了从简单球形近似到多球体、粘结型及基于三维扫描的重构方法的演变，以及从经典Hertz–Mindlin模型向黏聚、弹塑性及可断裂本构模型的转变。标定方法从经验赋值发展为集成试验设计、响应面法和机器学习辅助反分析的系统框架。这些在保真度和精度方面的进步使得DEM在耕整、播种、施肥和收获等领域得到广泛应用，重点涉及装备优化、机理分析和性能预测。尽管取得了进展，但在模型标准化、参数可迁移性、计算成本和多物理场耦合方面仍存在挑战。未来工作指向统一建模框架、标准化数据库、实时仿真以及与人工智能的融合，以支撑数字农业和智能机械发展。本文旨在为高保真DEM建模及推进农业工程数字化转型提供参考。","Agriculture","2026-09-12T00:00:00Z",76,{"impact":67,"substance":113,"depth":67,"authority":68,"freshness":55,"relevant":21,"comment":114},21,"系统综述离散元法在农业物料建模与装备优化中的进展，方法学价值高，对智能农机与数字农业有参考意义。",[116],{"name":109,"url":106},[26,27,118,119,120],"农业人工智能","农业机械","离散元仿真",[122,123],"农业人工智能 离散元仿真 农业机械 数字农业","农业人工智能 离散元仿真","农业人工智能离散元仿真农业机械数字农业-2542","10.3390\u002Fagriculture16181958",{"doi":125,"openalex_id":127,"authors":128,"venue":109,"cited_by_count":35,"oa_url":106,"card":136,"direction":140,"ingested_from":52},"W7213152558",[129,131,133],{"name":130,"orcid":9},"Xingchi Zhou",{"name":132,"orcid":9},"Yanbin Liu",{"name":134,"orcid":135},"Zhenwei Liang","https:\u002F\u002Forcid.org\u002F0000-0001-6501-4364",{"tldr":137,"method":138,"finding":139,"direction":140,"opportunity":141},"综述农业物料离散元建模的粒子模型、接触模型与参数标定进展及应用。","综述离散元粒子建模、接触模型、标定方法及在耕播收中的应用。","建模从球形向多球\u002F键合\u002F3D重建演进，标定转向机器学习辅助反演。","农业人工智能与决策模型","可探索DEM与AI实时仿真、多物理场耦合及标准化参数数据库构建。","2026-09-15T23:30:36.643241Z",{"id":144,"title":145,"url":146,"summary":147,"summary_zh":148,"content":9,"source_name":149,"source_url":146,"published_at":150,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":111,"score_detail":151,"sources":153,"tags":155,"search_phrases":158,"slug":161,"view_count":35,"doi":162,"paper":163,"created_at":176},2046,"AI-Powered Crop Protection: Transforming Pest Surveillance and Decision-Making Through Digital Agriculture","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fjsrr\u002F2026\u002Fv32i94503","Crop protection is increasingly challenged by changing pest population dynamics, pesticide resistance and the need for more sustainable agricultural production. Artificial intelligence (AI) and digital agriculture offer complementary tools for improving pest surveillance, forecasting and decision-making through automated detection, continuous monitoring and more precise interventions. This review synthesises the applications of machine learning, deep learning, computer vision, Internet of Things-enabled sensing, smart traps, remote sensing, unmanned aerial vehicles, robotics, predictive analytics and intelligent decision support systems in pest management. These approaches support pest identification, population monitoring, outbreak prediction, risk assessment and site-specific management, thereby strengthening the information base required for integrated pest management. The review also examines emerging technologies, including generative AI, foundation models, digital twins, explainable AI, edge intelligence and autonomous agricultural platforms, in relation to future crop protection systems. Despite rapid technological progress, practical deployment remains constrained by limited high-quality datasets, variable field conditions, model generalisation, interoperability, digital infrastructure, cost and farmer adoption. Effective implementation therefore requires transparent, robust and scalable systems that are validated under diverse agricultural conditions and aligned with ecological pest management principles. Overall, integrating AI-enabled surveillance and decision support with integrated pest management can support more timely, adaptive and resource-efficient crop protection while reducing unnecessary interventions.","作物保护正日益受到害虫种群动态变化、农药抗性以及更可持续农业生产需求的挑战。人工智能（AI）与数字农业通过自动检测、持续监测和更精准的干预措施，为改善害虫监测、预测和决策提供了互补性工具。本文综述了机器学习、深度学习、计算机视觉、物联网传感、智能诱捕器、遥感、无人机、机器人技术、预测分析和智能决策支持系统在害虫管理中的应用。这些方法支持害虫识别、种群监测、暴发预测、风险评估和位点特异性管理，从而强化了有害生物综合治理所需的信息基础。本文还探讨了新兴技术，包括生成式人工智能、基础模型、数字孪生、可解释人工智能、边缘智能和自主农业平台，及其在未来作物保护系统中的前景。尽管技术进展迅速，实际部署仍受限于高质量数据集不足、田间条件多变、模型泛化能力、互操作性、数字基础设施、成本以及农民采纳程度等因素。因此，有效实施需要透明、稳健且可扩展的系统，这些系统应在多样化农业条件下得到验证，并与生态害虫管理原则相一致。总体而言，将人工智能驱动的监测与决策支持同有害生物综合治理相结合，可支持更及时、更具适应性和资源效率更高的作物保护，同时减少不必要的干预。","Journal of Scientific Research and Reports","2026-09-09T00:00:00Z",{"impact":67,"substance":18,"depth":19,"authority":68,"freshness":20,"relevant":21,"comment":152},"系统综述AI与数字农业在病虫害监测预警与决策支持中的应用与瓶颈，信息密度高、结论可靠，对智慧植保方向有参考价值，但属综述类论文而非突破性成果，适合进入精选。",[154],{"name":149,"url":146},[26,27,118,156,157],"病虫害监测","精准植保",[159,160],"农业人工智能 病虫害监测 数字农业 智慧农业","农业人工智能 病虫害监测","农业人工智能病虫害监测数字农业智慧农业-2046","10.9734\u002Fjsrr\u002F2026\u002Fv32i94503",{"doi":162,"openalex_id":164,"authors":165,"venue":149,"cited_by_count":35,"oa_url":146,"card":170,"direction":175,"ingested_from":52},"W7212081296",[166,168],{"name":167,"orcid":9},"R. Saritha",{"name":169,"orcid":9},"M. Swathi",{"tldr":171,"method":172,"finding":173,"direction":140,"opportunity":174},"综述AI与数字农业在害虫监测、预测及决策支持中的应用与挑战。","综述机器学习、深度学习、计算机视觉、物联网、遥感、无人机与决策支持系统。","AI可提升害虫识别、暴发预测和精准管理，但受数据、泛化、成本与采纳制约。","可探索生成式AI、数字孪生与边缘智能在田间害虫管理中的可解释、可扩展落地验证。","智慧农业 \u002F 农业物联网","2026-09-10T23:30:09.692422Z",{"id":178,"title":179,"url":180,"summary":181,"summary_zh":182,"content":9,"source_name":109,"source_url":180,"published_at":183,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":184,"score_detail":185,"sources":189,"tags":191,"search_phrases":194,"slug":197,"view_count":35,"doi":198,"paper":199,"created_at":210},1894,"The Artefact Trap: Why Digital Agriculture Research Keeps Missing the Field","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fagriculture16171929","Digital agriculture (sensors, Internet of Things, machine learning, robotics, digital twins) has for fifteen years been sustained by massive investment promising more productive, precise, and sustainable agriculture, yet adoption remains heterogeneous and systemic impact limited despite intense scientific output. The dominant explanation treats this as a diffusion deficit and calls for more farmer training, advisory support, and subsidy; this reading leaves the structure of research itself unexamined and does not, on its own, explain why the gap between announced and delivered performance persists across technology generations. We argue that, alongside diffusion-side and demand-side factors, the paradox has a further, under-recognised upstream component: research design oriented towards technological artefacts rather than guaranteed functions. We develop the case for this complementary reading using Stahel’s performance economy framework and the Product-Service Systems literature. Four contributions follow: a tripartite typology of function (service-, specification-, and process-function) articulated hierarchically explains why research centred on specification-function alone cannot guarantee a service-function; current research is characterised, on the reading developed here, by three cumulative biases and three blind spots, including data governance and the under-representation of the social sciences; a four-axis reorientation agenda is proposed; and the framework is distinguished from Agricultural Innovation Systems, Responsible Research and Innovation, and mission-oriented research by specifying the functional level these leave indeterminate.","数字农业（传感器、物联网、机器学习、机器人技术、数字孪生）十五年来一直依靠巨额投资支撑，承诺实现更具生产力、精准和可持续的农业，然而尽管科学产出密集，技术采纳仍呈现异质性，系统性影响亦有限。主流解释将其视为扩散不足，呼吁加强农民培训、咨询支持和补贴；这一解读未审视研究本身的结构，且单凭自身无法解释为何在技术代际更迭中，宣称性能与实际交付之间的差距持续存在。我们认为，除扩散侧和需求侧因素外，这一悖论还存在一个被低估的上游组成部分：研究设计以技术人工物为导向，而非以保障功能为导向。我们借助Stahel的性能经济框架及产品-服务系统（Product-Service Systems）文献，为这一补充性解读提供论证。由此产生四项贡献：其一，提出功能的三分类型学（服务功能、规格功能与过程功能），并以层级化方式阐明为何仅聚焦于规格功能的研究无法保障服务功能；其二，基于本文的解读，当前研究呈现三种累积性偏差和三个盲点，包括数据治理及社会科学代表性不足；其三，提出四轴重定向议程；其四，通过明确上述框架在功能层面上的未决之处，将其与农业创新系统（Agricultural Innovation Systems）、负责任研究与创新（Responsible Research and Innovation）及使命导向型研究区分开来。","2026-09-06T00:00:00Z",73,{"impact":67,"substance":17,"depth":67,"authority":186,"freshness":187,"relevant":21,"comment":188},12,3,"论文深刻剖析数字农业研究脱离田间的问题，提出功能导向框架，对智慧农业科研方向有重要启示。",[190],{"name":109,"url":180},[26,27,192,193],"技术采纳","研究范式",[195,196],"技术采纳 数字农业 智慧农业 研究范式","技术采纳 数字农业","技术采纳数字农业智慧农业研究范式-1894","10.3390\u002Fagriculture16171929",{"doi":198,"openalex_id":200,"authors":201,"venue":109,"cited_by_count":35,"oa_url":180,"card":205,"direction":175,"ingested_from":52},"W7211897331",[202],{"name":203,"orcid":204},"Jean-Pierre Chanet","https:\u002F\u002Forcid.org\u002F0000-0002-7011-4535",{"tldr":206,"method":207,"finding":208,"direction":140,"opportunity":209},"指出数字农业研究因聚焦技术人工物而非功能，导致落地难，提出以功能为中心的重定向框架。","基于Stahel绩效经济与产品服务系统理论，构建功能三元类型学，分析研究偏差与盲","研究以规格功能为中心无法保证服务功能，需转向功能导向以弥合承诺与实效差距。","可探索将功能导向框架应用于具体农业场景，设计服务功能保障机制，弥补数据治理与社会科学参与空白。","2026-09-08T23:30:12.672902Z",{"id":212,"title":213,"url":214,"summary":215,"summary_zh":9,"content":216,"source_name":217,"source_url":9,"published_at":218,"category":219,"cover_url":9,"hotness":13,"is_selected":14,"score":220,"score_detail":221,"sources":225,"tags":227,"search_phrases":230,"slug":233,"view_count":35,"doi":9,"paper":9,"created_at":234},1664,"泉州市出台 2026 年度泉台农业合作、数字农业创新应用项目实施方案","https:\u002F\u002Fdifang.gmw.cn\u002Ffj\u002F2026-09\u002F04\u002Fcontent_38984928.htm","泉州市农业农村局近日印发 2026 年度泉台农业合作、数字农业创新应用项目实施方案。泉台合作方面支持规模化融合发展基地（补助不超 50%、单项目最高 10 万元）和市级交流对接活动；数字农业创新应用项目聚焦果蔬、水稻、油茶、茶叶、食用菌及禽类养殖等领域，单品种全流程数字化技术集成应用，需为 2026 年新建、总投资 20 万元以上、满足规模要求，可对接市级数字农业平台。","![Image 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11:00\n\n[](https:\u002F\u002Fdifang.gmw.cn\u002Ffj\u002F2026-09\u002F04\u002Fcontent_38984928.htm)[X](javascript:;)[](https:\u002F\u002Fdifang.gmw.cn\u002Ffj\u002F2026-09\u002F04\u002Fcontent_38984928.htm)\n\n**本报讯（融媒体记者范金林）**近日，泉州市农业农村局印发2026年度泉台农业合作、数字农业创新应用项目实施方案，通过专项财政补助扶持，深化泉台农业融合、赋能农业数字化转型，推动全市特色现代农业高质量发展。\n\n泉台农业合作方面，《方案》明确两类重点补助对象。一是规模化融合发展基地，支持农业主体引进台湾果蔬、花卉优质品种及先进种养技术、农资机具，吸纳台资、台籍人才团队落地，基地需满足大棚5亩、露天10亩以上规模。二是市级泉台农业交流对接活动，支持机构承办台湾农产品展销、两岸农业对接交流等活动，搭建供需合作桥梁。两类项目市级补助均不超实际投入的50%，单项目最高补助10万元。\n\n数字农业创新应用项目方面，《方案》聚焦特色种养产业提质升级，重点支持果蔬、水稻、油茶、茶叶、食用菌及禽类养殖等领域，推广单品种全流程、关键环节数字化技术集成应用。《方案》明确严格建设标准，项目需为2026年新建，总投资20万元以上，同时满足露天种植100亩、设施大棚20亩、工厂化栽培10亩以上规模要求，11月底前需完成建设验收，且可对接市级数字农业平台，实现数据传输、视频联网与智能化管控。该类项目同样按实际投入50%予以补助，单项目最高补助10万元。\n\n[ 责编：王礼林 ]\n\n阅读剩余全文（）\n\n![Image 13](https:\u002F\u002Fimg.gmw.cn\u002Fcontent_banner\u002Fcontent_840x120_qrcodes.jpg)\n\n## 相关阅读\n\n*   [![Image 14](https:\u002F\u002Fdifang.gmw.cn\u002Ffj\u002F2026-09\u002F04\u002Fcontent_38984928.htm)](javascript:;)    \n*   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数字农业 智慧农业 泉台合作","农业补助 数字农业","农业补助数字农业智慧农业泉台合作-1664","2026-09-05T00:04:35.663947Z",{"id":236,"title":237,"url":238,"summary":239,"summary_zh":240,"content":9,"source_name":241,"source_url":238,"published_at":242,"category":12,"cover_url":9,"hotness":243,"is_selected":14,"score":244,"score_detail":245,"sources":249,"tags":253,"search_phrases":256,"slug":259,"view_count":35,"doi":260,"paper":261,"created_at":273},1619,"Agricultural Technologies, Food Systems and Climate-Resilient Entrepreneurship in Kwara State, Nigeria: Opportunities, Challenges and Policy Imperatives","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22268616","The agricultural sector which contributes approximately 19-25% of the national GDP is facing increasing challenges from climate changes, food shortages and demographic expansion in Nigeria. The state of Kwara, which is found in Nigeria’s North-Central Agro-ecological region, offers a fascinating case study of how Agri-technology, climate-smart methods, and entrepreneurial creativity may interact to change food system. This paper examines the intersection of climate-smart business, food system resilience, and agricultural technology in Kwara State. The study's findings are supported by empirical research, government policy documents and industry reports that Kwara state is endowed with agricultural potential for commercial production of rice, casava, maize, soybeans and yam. It also revealed that climate change has reduced food accessibility for 94.8% of the farming households, increased food prices by 91.8% and limited access to market for 74.7% of the households. The study outlines the emergence of digital agricultural platforms, state-led mechanization programs and climate adaptation partnerships, such as the Kwara ACReSAL-IITA collaboration. Despite these developments, transformative effects are limited by persistent constraints; such as funding gaps, poor extension services, infrastructural deficits, insecurity and low adaptation of climate-smart technologies. The study recommends a wide-ranging policy framework focusing on blended financing, digital infrastructure, youth agripreneurship, and institutional collaboration to fast-track Kwara state’s transition into a climate-resilient, technology-led agricultural economy. The findings contribute to the broader discussion on agricultural transformation in sub-Saharan Africa and provide useful guidance for development experts, investors, and decision makers. Keywords: Agri-Tch, Climate-Smart Agriculture, Food System, Entrepreneurship, Kwara State, Nigeria, Digital Agriculture, Smallholder Farmers.","农业部门约占尼日利亚国内生产总值的19%至25%，正面临气候变化、粮食短缺和人口扩张带来的日益严峻的挑战。位于尼日利亚中北部农业生态区的夸拉州，为农业技术、气候智能型方法和创业创新如何相互作用以改变粮食体系提供了一个引人注目的案例研究。本文考察了夸拉州气候智能型商业、粮食体系韧性与农业技术之间的交汇点。研究结果得到实证研究、政府政策文件和行业报告的支持，表明夸拉州具备商业化生产水稻、木薯、玉米、大豆和山药等农产品的农业潜力。研究还揭示，气候变化已导致94.8%的农户家庭粮食可及性下降，使91.8%的家庭面临粮价上涨，并限制了74.7%的家庭进入市场的机会。研究概述了数字农业平台、国家主导的机械化项目和气候适应伙伴关系（如夸拉州ACReSAL-IITA合作项目）的出现。尽管取得了这些进展，但资金缺口、推广服务薄弱、基础设施不足、不安全因素以及气候智能型技术采用率低等持续存在的制约因素，限制了变革性效果的发挥。研究建议建立一个广泛的政策框架，重点关注混合融资、数字基础设施、青年农业创业和机构协作，以加快夸拉州向气候韧性、技术主导型农业经济的转型。研究结果为撒哈拉以南非洲农业转型的更广泛讨论做出了贡献，并为发展专家、投资者和决策者提供了有益的指导。关键词：农业技术、气候智能型农业、粮食体系、创业、夸拉州、尼日利亚、数字农业、小农户。","Zenodo (CERN European Organization for Nuclear Research)","2026-09-03T00:00:00Z",25,56,{"impact":186,"substance":67,"depth":246,"authority":20,"freshness":247,"relevant":21,"comment":248},16,2,"聚焦尼日利亚Kwara州农业技术与气候适应创业，提供实证数据，但地域性强且时效性低。",[250,251],{"name":241,"url":238},{"name":241,"url":252},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22268615",[26,27,254,255],"小农户","气候韧性",[257,258],"数字农业 智慧农业 气候韧性 小农户","数字农业 智慧农业","数字农业智慧农业气候韧性小农户-1619","10.5281\u002Fzenodo.22268616",{"doi":260,"openalex_id":262,"authors":263,"venue":241,"cited_by_count":35,"oa_url":238,"card":268,"direction":175,"ingested_from":52},"W7207600170",[264,266],{"name":265,"orcid":9},"Idowu Oluwafemi Sunday",{"name":267,"orcid":9},"Samuel Afuajemi Jonathan",{"tldr":269,"method":270,"finding":271,"direction":50,"opportunity":272},"探讨尼日利亚夸拉州农业技术、气候韧性创业与食品系统的互动，提出政策建议。","基于实证研究、政府政策文件和行业报告进行分析。","气候变化严重影响农户，数字农业平台涌现但受资金、基础设施等制约。","可研究非洲小农气候韧性转型中数字农业平台与混合融资模式的结合路径。","2026-09-04T23:30:09.960124Z"]