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The framework is evaluated through a replication-based design study that characterises the operating characteristics of the before-after-control-impact estimator used to audit scheduler performance, under a declared variance structure with between-cluster standard deviation 6.0, residual standard deviation 4.5 and intraclass correlation 0.64. Power was estimated across 2000 design cells spanning cluster counts of 8, 16, 24 and 32 and effect sizes of 3, 5 and 8 percentage points. The analysis indicates that 54 clusters are required to detect a 5-percentage-point effect at 80% power, and that the minimum detectable effect declines steeply as cluster count rises from 8 to 32. The contribution is a formal safety guarantee for irrigation decision support that remains valid when the infiltration model is wrong, together with an audit design that makes the guarantee empirically checkable.","依赖土壤湿度预报的灌溉调度算法容易受到未建模入渗的影响，即水分通过优先路径绕过根区的过程，而基于阻力的土壤模型无法表征这一过程。该框架通过一项基于重复的设计研究进行评估，该研究刻画了用于审计调度器性能的前后对照影响估计量的运行特性，其所依据的声明方差结构为：组间标准差6.0、残差标准差4.5、组内相关系数0.64。功效估计覆盖2000个设计单元，涵盖聚类数8、16、24和32以及效应量3、5和8个百分点。分析表明，在80%功效下检测5个百分点效应需要54个聚类，且最小可检测效应随聚类数从8增至32而急剧下降。本文的贡献在于为灌溉决策支持提供了一种正式的安全保证，该保证在入渗模型错误时仍然有效，同时提出了一种使该保证可经实证检验的审计设计。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z","论文",false,{"impact":173,"substance":321,"depth":361,"authority":416,"freshness":583,"relevant":455,"comment":584},9,"该研究提出在入渗模型失配条件下仍有效的灌溉决策安全保证框架，并给出可审计的试验设计，方法新颖、结论可靠，但属细分方法学研究，产业影响有限，适合作为专业精选而非头条。",[586],{"name":578,"url":575},[588,589,590,591,592],"智慧农业","农业人工智能","灌溉决策","安全保证","试验设计",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[595],{"code":24,"slug":25,"name":26,"path":27,"parent_code":7},{"status":597,"locked":581,"version":4,"method":598,"evidence":599},"classified","rules",{"candidates":600,"agricultural_evidence":603},[601,608,614,620],{"code":152,"score":602,"supported":603,"title":604,"abstract":605,"tags":607},15,true,[153],[606,153],"灌溉",[590],{"code":24,"score":416,"supported":603,"title":609,"abstract":611,"tags":613},[610],"artificial intelligence",[612],"decision support",[589],{"code":144,"score":615,"supported":603,"title":616,"abstract":617,"tags":619},6,[],[618,145],"土壤",[],{"code":16,"score":455,"supported":581,"title":621,"abstract":622,"tags":623},[],[],[588],[625,626],"灌溉调度 安全保证","农业人工智能 安全保证 智慧农业 灌溉决策","灌溉调度安全保证-5591","10.5281\u002Fzenodo.23543665",{"doi":628,"openalex_id":630,"authors":631,"venue":578,"cited_by_count":424,"oa_url":575,"card":636,"direction":640,"ingested_from":642},"W7223131205",[632,634],{"name":633,"orcid":11},"Nassima Benkhelifa",{"name":635,"orcid":11},"Yacine Aït Ahmed",{"tldr":637,"method":638,"finding":639,"direction":640,"opportunity":641},"提出分层保形风险控制，为未建模入渗下的灌溉调度提供安全保证。","分层保形风险控制与基于重复设计的BACI审计，2000个设计单元功效分析。","检测5个百分点效应需54个集群，最小可检测效应随集群数增加陡降。","农业人工智能与决策模型","可将保形风险控制扩展到其他未建模扰动下的农业决策安全保证与审计设计。","openalex","2026-10-22T11:21:10.283561Z",{"id":645,"title":646,"url":647,"summary":648,"summary_zh":649,"content":11,"source_name":650,"source_url":647,"published_at":651,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":652,"score_detail":653,"sources":656,"tags":658,"primary_topic":664,"secondary_topics":665,"classification":666,"search_phrases":689,"slug":692,"view_count":424,"doi":693,"paper":694,"created_at":710},5575,"Wetland vegetation dynamics and its linkage with climatic, hydrological, and land-use\u002F land cover changes in the Foket floodplain of the Fetam River Watershed, Northwestern Ethiopia","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44274-026-01136-x","Timely monitoring of wetland changes is vital for effective conservation and management of the landscape. This study, therefore, examines vegetation dynamics and their climatic, hydrological, and land-use drivers in the Foket floodplain wetland, Upper Blue Nile basin, Ethiopia. The LULC analysis was employed based on 1985, 2002, and 2020 cloud-free Landsat images. The maximum likelihood classification algorithm was applied to classify the images into eight LULC classes. The spatial and temporal dynamics of the floodplain’s surface water were further analyzed using the Global Surface Water Explorer (1984–2020), focusing on water occurrence, seasonality, transitions, and changes in surface-water dynamics. The Normalized Difference Vegetation Index (NDVI) was used to assess the temporal dynamics of wetland vegetation, while annual rainfall, temperature, and evapotranspiration data were used to examine the climatic context of vegetation change. The results reveal that the area coverage of water body and wetland decreased by 63.2% and 29%, respectively, over the study period. In contrast, cultivated land, settlement, and eucalyptus plantation had expanded by 39.8%, 280.6%, and 380%, respectively, at the expense of wetland, woodland, and shrubland. Surface-water dynamics showed a substantial decline in seasonally inundated areas and changes in the spatial distribution and persistence of surface water. This indicates the reduction of the floodplain’s hydrological connectivity. The NDVI analysis also revealed a significant increasing of wetland vegetation over 1985–2020\u002F21. Vegetation growth was very fast during 1985–2000, slowed down between 2001 and 2012, and dropped slightly from 2013 to 2020\u002F21. Analysis of climatic variables showed no major change in annual rainfall or evapotranspiration, whereas temperature exhibited a significant upward trend. The overall findings revealed the association of the floodplain vegetation dynamics with land-use land cover, hydrological, and climatic changes. This indicates that land-use land cover, hydrological, and climatic changes have contributed to the degradation of the floodplain vegetation, highlighting the urgent need for integrated management interventions that regulate agricultural expansion, grazing, and water diversion while maintaining hydrological connectivity and wetland vegetation. Clinical trial number Not applicable (NA).","及时监测湿地变化对于景观的有效保护和管理至关重要。因此，本研究考察了埃塞俄比亚上青尼罗河流域福凯特洪泛平原湿地的植被动态及其气候、水文和土地利用驱动因素。基于1985年、2002年和2020年无云Landsat影像进行土地利用\u002F土地覆盖（LULC）分析，采用最大似然分类算法将影像分为八个LULC类别。进一步利用全球地表水探索器（1984—2020年）分析洪泛平原地表水的时空动态，重点关注水的出现频率、季节性、转换及地表水动态变化。采用归一化差异植被指数（NDVI）评估湿地植被的时间动态，同时利用年降水量、气温和蒸散发数据考察植被变化的气候背景。结果表明，研究期间水体和湿地的面积覆盖率分别下降了63.2%和29%。相比之下，耕地、居民点和桉树种植园分别扩张了39.8%、280.6%和380%，侵占了湿地、林地和灌丛。地表水动态显示季节性淹没区域大幅减少，地表水的空间分布和持续性发生变化，表明洪泛平原水文连通性降低。NDVI分析还揭示1985—2020\u002F21年间湿地植被显著增加。植被生长在1985—2000年间非常迅速，2001—2012年间放缓，2013—2020\u002F21年间略有下降。气候变量分析显示年降水量或蒸散发无重大变化，而气温呈显著上升趋势。总体研究结果揭示了洪泛平原植被动态与土地利用\u002F土地覆盖、水文和气候变化的关联。这表明土地利用\u002F土地覆盖、水文和气候变化共同导致了洪泛平原植被退化，凸显了迫切需要综合管理干预措施，以调控农业扩张、放牧和引水，同时维持水文连通性和湿地植被。临床试验编号：不适用（NA）。","Discover Environment","2026-10-20T00:00:00Z",65,{"impact":173,"substance":508,"depth":654,"authority":416,"freshness":583,"relevant":455,"comment":655},16,"基于Landsat与NDVI的湿地植被动态实证研究，数据扎实但属区域案例，国际参考价值有限，不宜进入每日精选。",[657],{"name":650,"url":647},[659,660,661,662,663],"NDVI","埃塞俄比亚","土地利用变化","湿地遥感","水文连通性",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":667},{"candidates":668,"agricultural_evidence":603},[669,675,681,685],{"code":152,"score":615,"supported":603,"title":670,"abstract":671,"tags":674},[],[672,673],"蒸散发","evapotranspiration",[],{"code":184,"score":676,"supported":603,"title":677,"abstract":678,"tags":680},3,[],[679],"气候变化",[],{"code":176,"score":455,"supported":581,"title":682,"abstract":683,"tags":684},[],[],[661],{"code":32,"score":455,"supported":581,"title":686,"abstract":687,"tags":688},[],[],[659],[690,691],"土地利用变化 埃塞俄比亚 水文连通性 湿地遥感","土地利用变化 埃塞俄比亚","土地利用变化埃塞俄比亚水文连通性湿地遥感-5575","10.1007\u002Fs44274-026-01136-x",{"doi":693,"openalex_id":695,"authors":696,"venue":650,"cited_by_count":424,"oa_url":703,"card":704,"direction":708,"ingested_from":642},"W7223064056",[697,700],{"name":698,"orcid":699},"Workiyie Worie Assefa","https:\u002F\u002Forcid.org\u002F0000-0002-4029-9022",{"name":701,"orcid":702},"Belachew Getnet Eneyew","https:\u002F\u002Forcid.org\u002F0000-0003-1196-9004","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44274-026-01136-x.pdf",{"tldr":705,"method":706,"finding":707,"direction":708,"opportunity":709},"分析埃塞俄比亚Foket洪泛湿地植被动态及其气候、水文与土地利用驱动因素。","用Landsat影像做最大似然分类，结合全球地表水数据与NDVI及气候数据分析。","水体与湿地面积大幅减少，耕地、居民点和桉树种植扩张，温度显著上升。","农业遥感与作物表型","可结合多源遥感与水文连通性指标，量化湿地退化对农业灌溉与乡村生态服务的影响。","2026-10-22T11:20:42.476484Z",{"id":712,"title":713,"url":714,"summary":715,"summary_zh":716,"content":11,"source_name":717,"source_url":714,"published_at":579,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":718,"score_detail":719,"sources":721,"tags":723,"primary_topic":727,"secondary_topics":728,"classification":731,"search_phrases":782,"slug":785,"view_count":424,"doi":786,"paper":787,"created_at":811},5564,"Dynamic thermal imaging for crop water stress detection across phenological stages: Enhancing irrigation scheduling precision","https:\u002F\u002Fdoi.org\u002F10.14719\u002Fpst.17728","Thermal remote sensing and derived indices such as the crop water stress index (CWSI) can assess crop water status and support precision irrigation. However, most operational and artificial intelligence (AI)-based approaches rely on fixed, season-long thresholds to interpret canopy–air temperature differences and often overlook the influence of crop phenology. This review synthesises evidence from grapevine, wheat, maize, potato and several other crops on how developmental stage affects the non-water-stressed baseline (NWSB), CWSI thresholds and irrigation-scheduling algorithms. It covers CWSI theory and estimation practices; crop-specific, phenology-dependent behaviour of baselines and thresholds; a comparison of threshold-based, machine learning, Internet of Things (IoT), digital twin and Food and Agriculture Organization (FAO)-56 approaches with respect to crop phenology; and a conceptual framework for phenology-aware scheduling. Across the reviewed crops, baseline behaviour generally varied systematically across the growing season, the relationship between CWSI and crop water status generally strengthened after canopy closure and CWSI measured during reproductive stages was generally most closely related to yield. A quantitative audit of 56 AI-, thermal-imaging-, or CWSI-based studies found that 78.6 % either did not explicitly incorporate crop phenology or relied on day of year as a temporal proxy, whereas only 5.4 % explicitly encoded phenological stage. The proposed framework considers phenology explicitly in baseline estimation, threshold setting and data fusion or machine learning for irrigation scheduling; the framework will require multi-year, multi-site field validation before operational use. Future research should prioritise standardised phenology definitions and long-term, multi-location studies to establish and validate stage-specific parameters.","热红外遥感及其衍生的作物水分胁迫指数（crop water stress index, CWSI）等指标可评估作物水分状况并支持精准灌溉。然而，大多数业务化方法和基于人工智能（artificial intelligence, AI）的方法依赖固定的全生育期阈值来解释冠层—空气温差，且往往忽视作物物候的影响。本文综述了葡萄、小麦、玉米、马铃薯及其他若干作物在发育阶段如何影响非水分胁迫基线（non-water-stressed baseline, NWSB）、CWSI阈值和灌溉调度算法的相关证据。综述内容涵盖CWSI理论与估算实践；基线和阈值的作物特异性、物候依赖性行为；基于阈值、机器学习、物联网（Internet of Things, IoT）、数字孪生及联合国粮农组织（Food and Agriculture Organization, FAO）-56等方法在作物物候方面的比较；以及物候感知调度的概念框架。在所综述的作物中，基线行为在整个生长季通常呈系统性变化，CWSI与作物水分状况之间的关系在冠层封垄后总体增强，且在生殖阶段测得的CWSI与产量的关系总体最为密切。对56项基于AI、热成像或CWSI的研究进行的定量审查发现，78.6%的研究要么未明确纳入作物物候，要么依赖年积日作为时间代理变量，而仅5.4%的研究明确编码了物候阶段。所提出的框架在基线估算、阈值设定以及用于灌溉调度的数据融合或机器学习中明确考虑物候；该框架在投入业务应用前尚需多年、多站点的田间验证。未来研究应优先建立标准化的物候定义，并开展长期、多地点研究以建立和验证阶段特异性参数。","Plant Science Today",79,{"impact":361,"substance":321,"depth":361,"authority":416,"freshness":583,"relevant":455,"comment":720},"系统综述热成像与CWSI在物候期感知灌溉中的应用，含56项研究量化审计，方法学价值突出，但属综述类论文，影响偏学术层面。",[722],{"name":717,"url":714},[588,589,724,725,726],"遥感","作物水分胁迫","精准灌溉",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[729,730],{"code":24,"slug":25,"name":26,"path":27,"parent_code":7},{"code":48,"slug":49,"name":50,"path":51,"parent_code":7},{"status":597,"locked":581,"version":4,"method":598,"evidence":732},{"candidates":733,"agricultural_evidence":603},[734,738,744,751,758,763,767,771,777],{"code":152,"score":602,"supported":603,"title":735,"abstract":736,"tags":737},[153],[606,153],[726],{"code":24,"score":385,"supported":603,"title":739,"abstract":740,"tags":743},[],[741,742,610],"机器学习","machine learning",[589],{"code":48,"score":583,"supported":603,"title":745,"abstract":746,"tags":750},[],[747,748,749],"物联网","internet of things","IoT",[],{"code":16,"score":752,"supported":603,"title":753,"abstract":754,"tags":757},7,[],[755,756],"数字孪生","digital twin",[588],{"code":32,"score":752,"supported":603,"title":759,"abstract":760,"tags":762},[],[724,761],"remote sensing",[724],{"code":216,"score":615,"supported":603,"title":764,"abstract":765,"tags":766},[],[218,217],[],{"code":224,"score":615,"supported":603,"title":768,"abstract":769,"tags":770},[],[226,225],[],{"code":240,"score":615,"supported":603,"title":772,"abstract":773,"tags":776},[],[774,775],"马铃薯","potato",[],{"code":286,"score":676,"supported":603,"title":778,"abstract":779,"tags":781},[],[780],"葡萄",[],[783,784],"热成像 作物水分胁迫","CWSI 灌溉调度","热成像作物水分胁迫-5564","10.14719\u002Fpst.17728",{"doi":786,"openalex_id":788,"authors":789,"venue":717,"cited_by_count":424,"oa_url":714,"card":805,"direction":810,"ingested_from":642},"W7223088921",[790,793,796,799,802],{"name":791,"orcid":792},"R M Jeya","https:\u002F\u002Forcid.org\u002F0009-0001-3621-8533",{"name":794,"orcid":795},"P. C. Prabu","https:\u002F\u002Forcid.org\u002F0000-0002-7237-9481",{"name":797,"orcid":798},"K P Ragunath","https:\u002F\u002Forcid.org\u002F0000-0002-7851-4437",{"name":800,"orcid":801},"P. Kannan","https:\u002F\u002Forcid.org\u002F0000-0001-7003-3535",{"name":803,"orcid":804},"P. M. Shanmugam","https:\u002F\u002Forcid.org\u002F0000-0002-6706-8419",{"tldr":806,"method":807,"finding":808,"direction":708,"opportunity":809},"综述物候期对热成像CWSI阈值的影响，提出物候感知灌溉调度框架。","综述葡萄、小麦、玉米等作物的热遥感CWSI研究，并审计56项AI\u002F热成像研究。","78.6%研究未显式纳入物候，仅5.4%编码物候期；CWSI与产量在生殖期关联最强。","可开展多站点多年物候期特异性CWSI阈值标定与标准化物候定义研究。","智慧农业 \u002F 农业物联网","2026-10-22T11:20:24.526683Z",{"id":813,"title":814,"url":815,"summary":816,"summary_zh":817,"content":11,"source_name":818,"source_url":815,"published_at":579,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":819,"score_detail":820,"sources":823,"tags":825,"primary_topic":828,"secondary_topics":829,"classification":832,"search_phrases":878,"slug":881,"view_count":424,"doi":882,"paper":883,"created_at":901},5553,"Artificial Intelligence–Driven Precision Agriculture Systems: Engineering Frameworks for Climate-Resilient Food Production","https:\u002F\u002Fdoi.org\u002F10.53982\u002Fajerd.2026.01.14-j","Climate change, soil issues, water scarcity, and the increasing need for food worldwide mean we need smart farming systems that can manage resources flexibly. Old farming methods used the same inputs and simple rules for decisions. AI can help us manage resources better by adapting and optimizing them as we deal with complex environmental factors. This paper looks closely at AI-powered precision agriculture systems designed to make food production more resilient to changing weather. The authors reviewed research from 2021 to 2026 in agricultural engineering, computer engineering, and environmental systems. The authors examined how machine learning, deep learning, reinforcement learning, computer vision, robotics, and IoT sensors are used for predicting crop yields, spotting diseases, improving irrigation, managing nutrients, and automating field tasks. Our analysis shows that hybrid deep learning models (CNN-LSTM) are better than single models for predicting crop yields over space and time. Reinforcement learning algorithms are also better at adjusting irrigation cycles when weather is unpredictable. Using edge computing for system design reduces delays and improves real-time decision-making compared to traditional cloud-based systems. However, there are still big challenges with understanding how AI models work, having enough diverse data, ensuring cybersecurity, setting common standards, and making these systems affordable, especially in developing countries. To tackle these problems, we suggest a framework that combines AI analysis, distributed sensor networks, adaptive controls, and climate risk assessments. The authors provided critical insights into essential research gaps and outline a technological roadmap towards achieving sustainable, resilient and intelligent agricultural systems.","气候变化、土壤问题、水资源短缺以及全球日益增长的粮食需求，意味着我们需要能够灵活管理资源的智能农业系统。传统农业方法对相同的投入采用固定模式，并依赖简单规则进行决策。人工智能可以帮助我们更好地管理资源，通过适应和优化资源利用来应对复杂的环境因素。本文深入探讨了人工智能驱动的精准农业系统，旨在使粮食生产对不断变化的天气更具韧性。作者综述了2021年至2026年间农业工程、计算机工程和环境系统领域的研究。作者考察了机器学习、深度学习、强化学习、计算机视觉、机器人技术及物联网传感器如何被用于作物产量预测、病害识别、灌溉优化、养分管理和田间作业自动化。我们的分析表明，混合深度学习模型（CNN-LSTM）在时空作物产量预测方面优于单一模型。在天气不可预测的情况下，强化学习算法在调整灌溉周期方面也表现更优。与传统基于云的系统相比，采用边缘计算进行系统设计可降低延迟并改善实时决策能力。然而，在理解人工智能模型的工作原理、获取足够多样化的数据、确保网络安全、制定通用标准以及使这些系统具备可负担性方面，仍存在重大挑战，尤其是在发展中国家。为应对这些问题，我们提出了一个融合人工智能分析、分布式传感器网络、自适应控制和气候风险评估的框架。作者对关键研究空白提供了重要见解，并勾勒了实现可持续、韧性和智能农业系统的技术路线图。","ABUAD Journal of Engineering Research and Development (AJERD)",80,{"impact":361,"substance":321,"depth":361,"authority":821,"freshness":583,"relevant":455,"comment":822},13,"系统综述AI驱动精准农业的工程框架与技术路线，方法梳理扎实、结论有参考价值，但属综述类论文，产业落地影响有限。",[824],{"name":818,"url":815},[588,589,747,826,827],"精准农业","气候韧性",{"code":24,"slug":25,"name":26,"path":27,"parent_code":7},[830,831],{"code":48,"slug":49,"name":50,"path":51,"parent_code":7},{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},{"status":597,"locked":581,"version":4,"method":598,"evidence":833},{"candidates":834,"agricultural_evidence":603},[835,843,848,854,859,864,868,873],{"code":24,"score":361,"supported":603,"title":836,"abstract":837,"tags":842},[610],[838,741,839,742,840,841],"深度学习","计算机视觉","deep learning","computer vision",[589],{"code":16,"score":654,"supported":603,"title":844,"abstract":846,"tags":847},[845],"precision agriculture",[826,845],[588,826],{"code":48,"score":385,"supported":603,"title":849,"abstract":850,"tags":853},[],[747,851,749,852],"边缘计算","edge computing",[747],{"code":152,"score":583,"supported":603,"title":855,"abstract":856,"tags":858},[],[606,857,153],"水资源",[],{"code":184,"score":752,"supported":603,"title":860,"abstract":861,"tags":863},[],[679,862],"climate change",[827],{"code":144,"score":615,"supported":603,"title":865,"abstract":866,"tags":867},[],[618,145],[],{"code":256,"score":676,"supported":603,"title":869,"abstract":870,"tags":872},[],[871],"间作",[],{"code":96,"score":676,"supported":603,"title":874,"abstract":875,"tags":877},[],[876],"养分管理",[],[879,880],"AI 精准农业 气候韧性","CNN-LSTM 作物产量预测","AI精准农业气候韧性-5553","10.53982\u002Fajerd.2026.01.14-j",{"doi":882,"openalex_id":884,"authors":885,"venue":818,"cited_by_count":424,"oa_url":815,"card":896,"direction":810,"ingested_from":642},"W7223121456",[886,889,891,893],{"name":887,"orcid":888},"Olumayowa J. Iyanda","https:\u002F\u002Forcid.org\u002F0000-0002-5340-9884",{"name":890,"orcid":11},"Oluwadare OYEBODE",{"name":892,"orcid":11},"Iretiayo Adelaiye",{"name":894,"orcid":895},"Ayomide Afolabi","https:\u002F\u002Forcid.org\u002F0000-0002-5171-886X",{"tldr":897,"method":898,"finding":899,"direction":640,"opportunity":900},"综述2021-2026年AI驱动精准农业系统，提出气候韧性粮食生产工程框架。","综述机器学习、深度学习、强化学习、计算机视觉、机器人与物联网在精准农业中的应用。","CNN-LSTM混合模型和强化学习在产量预测与灌溉调度上优于单一方法，边缘计算提升实时性。","可研究边缘计算与强化学习结合的轻量级灌溉决策系统，并探索发展中国家低成本部署与标准化路径。","2026-10-22T11:20:18.151376Z",{"id":903,"title":904,"url":905,"summary":906,"summary_zh":907,"content":11,"source_name":578,"source_url":905,"published_at":579,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":908,"score_detail":909,"sources":911,"tags":913,"primary_topic":917,"secondary_topics":918,"classification":921,"search_phrases":947,"slug":950,"view_count":424,"doi":951,"paper":952,"created_at":962},5552,"INTEGRATING IoT, REMOTE SENSING, AND ARTIFICIAL INTELLIGENCE FOR SMART IRRIGATION: A REVIEW OF ARCHITECTURES, METHODS, AND CHALLENGES","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23531020","This research paper reviews the integration of Internet of Things (IoT), remote sensing, and Artificial Intelligence (AI) in smart irrigation systems. It discusses system architectures, intelligent irrigation techniques, automated water management, key challenges, and future research opportunities to improve water-use efficiency and promote sustainable agriculture.","本文综述了物联网（Internet of Things, IoT）、遥感与人工智能（Artificial Intelligence, AI）在智能灌溉系统中的融合应用，探讨了系统架构、智能灌溉技术、自动化水资源管理、关键挑战及未来研究方向，以提升用水效率并促进可持续农业发展。",75,{"impact":361,"substance":508,"depth":654,"authority":416,"freshness":583,"relevant":455,"comment":910},"系统综述物联网、遥感与AI融合的智能灌溉架构与方法，属智慧农业细分领域有实质增量的国际综述，值得入选。",[912],{"name":578,"url":905},[589,914,724,915,916],"农业物联网","智慧灌溉","节水农业",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[919,920],{"code":48,"slug":49,"name":50,"path":51,"parent_code":7},{"code":32,"slug":33,"name":34,"path":35,"parent_code":7},{"status":597,"locked":581,"version":4,"method":598,"evidence":922},{"candidates":923,"agricultural_evidence":603},[924,929,933,937,941],{"code":152,"score":925,"supported":603,"title":926,"abstract":927,"tags":928},19,[153],[606,857,153],[915,916],{"code":48,"score":361,"supported":603,"title":930,"abstract":931,"tags":932},[749],[747,748,749],[914],{"code":32,"score":602,"supported":603,"title":934,"abstract":935,"tags":936},[761],[724,761],[724],{"code":24,"score":416,"supported":603,"title":938,"abstract":939,"tags":940},[610],[610],[589],{"code":192,"score":615,"supported":603,"title":942,"abstract":943,"tags":946},[],[944,945],"可持续农业","sustainable agriculture",[],[948,949],"IoT 遥感 AI 智能灌溉","农业人工智能 农业物联网 智慧灌溉 节水农业","IoT遥感AI智能灌溉-5552","10.5281\u002Fzenodo.23531020",{"doi":951,"openalex_id":953,"authors":954,"venue":578,"cited_by_count":424,"oa_url":905,"card":957,"direction":810,"ingested_from":642},"W7223090389",[955],{"name":956,"orcid":11},"Patil",{"tldr":958,"method":959,"finding":960,"direction":810,"opportunity":961},"综述物联网、遥感与人工智能融合的智能灌溉系统架构、方法与挑战。","文献综述，梳理IoT、遥感与AI集成的系统架构与智能灌溉技术。","融合三者可提升用水效率并推动可持续农业，但仍面临关键挑战。","可针对多源数据融合的实时灌溉决策模型与边缘部署开展实证研究。","2026-10-22T11:20:18.028252Z",{"id":964,"title":965,"url":966,"summary":967,"summary_zh":968,"content":11,"source_name":969,"source_url":966,"published_at":579,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":718,"score_detail":970,"sources":972,"tags":974,"primary_topic":980,"secondary_topics":981,"classification":983,"search_phrases":1003,"slug":1006,"view_count":424,"doi":1007,"paper":1008,"created_at":1028},5541,"Year-round modeling of soil water-heat-salt transport and crop growth under film-mulched drip irrigation with freeze-thaw cycles","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105024","Context Soil water-heat-salt migration and crop growth in film-mulched drip irrigation fields in seasonally frozen regions are influenced by partial mulching and drip irrigation during the growth period, as well as soil freeze-thaw processes during the fallow period. Understanding year-round soil water-heat-salt dynamics and crop growth is essential for sustainable agricultural water use. Objective However, existing year-round models often use one-dimensional (1D) approaches during the growth period, which neglect horizontal salt migration under partial mulching and drip irrigation, leading to an overestimation of salt leaching efficiency. This limitation can be addressed by developing a year-round model that incorporates the distinct dynamics of both growth and fallow periods. Methods In this study, we developed a year-round coupled model, CAWM-S, by integrating the previously developed Crop and Water Model based on HYDRUS-2D (CAWM-H2D) with the SHAW model, which considers soil freeze-thaw processes. The key features of CAWM-S include detailed depiction of 2D soil water-heat-salt migration, crop growth and yield formation, and energy balance at the film-mulched soil surface during the growth period, as well as the redistribution of soil water-salt due to freeze-thaw processes in the fallow period. The model was calibrated and validated using monitored data from two consecutive year-round periods in a film-mulched drip irrigation cotton field in southern Xinjiang, a region with seasonal frozen soils, under different irrigation water salinity levels. This validation is treatment-wise and limited to the same site and two-year period; independent validation across other sites, years, crops, and irrigation systems remains necessary. Results and conclusions The simulated results for soil water, temperature, salinity, crop growth indicators, and yield generally matched the measured data across the two years with varying salinity levels, with treatment-averaged R 2 values ranging from 0.48 to 0.98 and NSE values 0.42 to 0.97. Furthermore, we analyzed the effects of different irrigation volume and salinity combinations on soil desalination rates, evapotranspiration and its components, crop yield, and water productivity, revealing a quadratic relationship between optimal irrigation volume and water salinity under film-mulched drip irrigation. Validation results show that CAWM-S effectively quantifies coupled soil water-heat-salt dynamics and crop growth, and predicts salt redistribution across year-round cycles in seasonally frozen regions. Significance It provides an effective tool for supporting sustainable agriculture by aiding water saving, control of soil salinization and improvement of crop water productivity in the film-mulched drip irrigation fields within seasonally frozen regions.","背景 季节性冻土区覆膜滴灌农田的土壤水热盐迁移与作物生长，受生育期内部分覆膜和滴灌以及休止期土壤冻融过程的影响。理解全年土壤水热盐动态及作物生长对于农业可持续用水至关重要。目的 然而，现有全年模型在生育期多采用一维（1D）方法，忽略了部分覆膜滴灌条件下的水平盐分迁移，导致对盐分淋洗效率的高估。这一局限可通过开发兼顾生育期与休止期不同动态特征的全年模型加以解决。方法 本研究将前期开发的基于HYDRUS-2D的作物与水分模型（CAWM-H2D）与考虑土壤冻融过程的SHAW模型相耦合，构建了全年耦合模型CAWM-S。CAWM-S的主要特点包括：详细刻画生育期二维土壤水热盐迁移、作物生长与产量形成以及覆膜土壤表面能量平衡，同时描述休止期冻融过程引起的土壤水盐再分布。模型采用南疆季节性冻土区覆膜滴灌棉田连续两个全年周期的监测数据，在不同灌溉水矿化度水平下进行率定与验证。该验证按处理进行，且仅限于同一站点和两年时段；仍需在其他站点、年份、作物及灌溉系统下开展独立验证。结果与结论 在两个不同矿化度水平的年份中，土壤水分、温度、盐分、作物生长指标及产量的模拟结果与实测数据总体吻合，处理平均R²为0.48~0.98，NSE为0.42~0.97。此外，分析了不同灌水量与矿化度组合对土壤脱盐率、蒸散及其组分、作物产量和水分生产率的影响，揭示了覆膜滴灌条件下最优灌水量与灌溉水矿化度之间的二次关系。验证结果表明，CAWM-S能够有效量化土壤水热盐耦合动态与作物生长，并预测","Agricultural Systems",{"impact":654,"substance":321,"depth":361,"authority":345,"freshness":583,"relevant":455,"comment":971},"构建了覆盖冻融期的全年水热盐与作物生长耦合模型，方法有新意、验证数据扎实，对盐碱地滴灌节水有实用价值，但属单点两年验证的学术成果，产业影响有限。",[973],{"name":969,"url":966},[975,976,977,978,979],"棉花","盐碱地治理","节水灌溉","覆膜滴灌","土壤水盐运移",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[982],{"code":144,"slug":145,"name":146,"path":147,"parent_code":128},{"status":597,"locked":581,"version":4,"method":598,"evidence":984},{"candidates":985,"agricultural_evidence":603},[986,990,994,999],{"code":152,"score":361,"supported":603,"title":987,"abstract":988,"tags":989},[153],[606,153,673],[977],{"code":144,"score":602,"supported":603,"title":991,"abstract":992,"tags":993},[145],[618,145],[976],{"code":248,"score":400,"supported":603,"title":995,"abstract":996,"tags":998},[],[997],"cotton",[975],{"code":192,"score":676,"supported":603,"title":1000,"abstract":1001,"tags":1002},[],[945],[],[1004,1005],"南疆 覆膜滴灌 棉花","CAWM-S 模型 冻融","南疆覆膜滴灌棉花-5541","10.1016\u002Fj.agsy.2026.105024",{"doi":1007,"openalex_id":1009,"authors":1010,"venue":969,"cited_by_count":424,"oa_url":966,"card":1023,"direction":708,"ingested_from":642},"W7223120642",[1011,1014,1016,1019,1021],{"name":1012,"orcid":1013},"Dong Lin","https:\u002F\u002Forcid.org\u002F0000-0001-8433-9658",{"name":1015,"orcid":11},"Tongkai Guo",{"name":1017,"orcid":1018},"Zunqiu Xu","https:\u002F\u002Forcid.org\u002F0000-0002-9393-3605",{"name":1020,"orcid":11},"Wenping Bi",{"name":1022,"orcid":11},"Xiaomin Mao",{"tldr":1024,"method":1025,"finding":1026,"direction":708,"opportunity":1027},"构建全年耦合模型CAWM-S，模拟覆膜滴灌棉田水热盐运移与作物生长。","将HYDRUS-2D的CAWM-H2D与冻融模型SHAW耦合，用南疆两年监测数据","模型精度较高（R²0.48-0.98），揭示最优灌溉量与灌水盐度呈二次关系。","可扩展至多站点、多作物与不同灌溉制度的独立验证，并耦合遥感数据实现区域尺度模拟。","2026-10-22T11:20:12.238655Z",{"id":1030,"title":1031,"url":1032,"summary":1033,"summary_zh":1034,"content":11,"source_name":1035,"source_url":1032,"published_at":1036,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":45,"score_detail":1037,"sources":1040,"tags":1042,"primary_topic":1043,"secondary_topics":1044,"classification":1046,"search_phrases":1076,"slug":1079,"view_count":424,"doi":1080,"paper":1081,"created_at":1096},5496,"Multi-Crop Irrigation Need Classification Based on Machine Learning with an Indonesian-Language GenAI-UX Recommendation Layer","https:\u002F\u002Fdoi.org\u002F10.30871\u002Fjaic.v10i5.13774","Inefficient irrigation water use remains a critical challenge in Indonesian agriculture, and the complexity of raw sensor data hinders adoption by smallholder farmers who lack data-analysis skills. This study develops an intelligent irrigation Decision Support System that integrates interpretable Machine Learning with an Indonesian-language GenAI-UX recommendation layer, using a publicly available multi-crop irrigation scheduling dataset (501 records, nine crops) with an analytical focus on paddy and maize. Four components are combined into one pipeline: (i) irrigation-need classification compared across six algorithms; (ii) regression of a continuous water-requirement score; (iii) sensor-anomaly detection using Isolation Forest cross-validated with the Interquartile Range method; and (iv) a rule-based natural-language recommendation layer whose operating point is optimized by a Genetic Algorithm. Validity was safeguarded through stratified five-fold cross-validation and leakage-controlled preprocessing. Gradient Boosting achieved the best classification performance (F1-score 0.980; cross-validated F1 0.963), Random Forest Regressor reached R square of 0.807, Isolation Forest agreed with IQR outliers at 95.2%, and the Genetic Algorithm attained a confidence of 0.993 within realistic agronomic bounds. In an illustrative usability evaluation, the GenAI-UX interface obtained the highest System Usability Scale score (Good category). The results indicate that pairing accurate, interpretable models with a language-based delivery layer can transform complex sensor data into actionable irrigation recommendations, lowering the adoption barrier for non-technical users. Field validation with real respondents and edge deployment are identified as the next steps.","灌溉用水效率低下仍是印度尼西亚农业面临的一项关键挑战，而原始传感器数据的复杂性阻碍了缺乏数据分析技能的小农户采用相关技术。本研究开发了一种智能灌溉决策支持系统（Decision Support System），将可解释的机器学习与印度尼西亚语生成式人工智能用户体验（GenAI-UX）推荐层相结合，使用公开可用的多作物灌溉调度数据集（501条记录，九种作物），并以水稻和玉米为分析重点。四个组件被整合为一条流水线：（i）在六种算法之间比较灌溉需求分类；（ii）对连续需水量得分进行回归；（iii）使用孤立森林（Isolation Forest）进行传感器异常检测，并与四分位距（IQR）方法交叉验证；（iv）基于规则的自然语言推荐层，其操作点由遗传算法优化。通过分层五折交叉验证和防泄漏预处理保障了有效性。梯度提升（Gradient Boosting）取得了最佳分类性能（F1分数0.980；交叉验证F1为0.963），随机森林回归器（Random Forest Regressor）达到R平方0.807，孤立森林与IQR异常值的一致率为95.2%，遗传算法在现实农艺范围内达到0.993的置信度。在一项示例性可用性评估中，GenAI-UX界面获得了最高的系统可用性量表（System Usability Scale）得分（良好类别）。结果表明，将准确、可解释的模型与基于语言的交付层相结合，能够将复杂的传感器数据转化为可操作的灌溉建议，从而降低非技术用户的采用门槛。与真实受访者进行田间验证以及边缘部署被确定为下一步工作。","Journal of Applied Informatics and Computing","2026-10-19T00:00:00Z",{"impact":416,"substance":508,"depth":1038,"authority":416,"freshness":173,"relevant":455,"comment":1039},17,"方法组合完整、指标扎实的农业AI决策支持论文，但属印尼小农户场景的实验室级研究，公共影响有限，适合作为技术参考而非每日精选头条。",[1041],{"name":1035,"url":1032},[588,589,210,226,590],{"code":24,"slug":25,"name":26,"path":27,"parent_code":7},[1045],{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},{"status":597,"locked":581,"version":4,"method":598,"evidence":1047},{"candidates":1048,"agricultural_evidence":603},[1049,1053,1057,1062,1066,1072],{"code":24,"score":361,"supported":603,"title":1050,"abstract":1051,"tags":1052},[742],[741,742,612],[589],{"code":152,"score":602,"supported":603,"title":1054,"abstract":1055,"tags":1056},[153],[606,153],[590],{"code":208,"score":752,"supported":603,"title":1058,"abstract":1059,"tags":1061},[],[210,1060],"paddy",[210],{"code":224,"score":752,"supported":603,"title":1063,"abstract":1064,"tags":1065},[],[226,225],[226],{"code":496,"score":615,"supported":603,"title":1067,"abstract":1068,"tags":1071},[],[1069,1070],"小农户","smallholder",[],{"code":16,"score":455,"supported":581,"title":1073,"abstract":1074,"tags":1075},[],[],[588],[1077,1078],"印尼 多作物 灌溉决策","GenAI 灌溉推荐","印尼多作物灌溉决策-5496","10.30871\u002Fjaic.v10i5.13774",{"doi":1080,"openalex_id":1082,"authors":1083,"venue":1035,"cited_by_count":424,"oa_url":1032,"card":1091,"direction":640,"ingested_from":642},"W7223016583",[1084,1087,1089],{"name":1085,"orcid":1086},"Muhammad Rusdi","https:\u002F\u002Forcid.org\u002F0000-0002-1048-5000",{"name":1088,"orcid":11},"Zaenuddin Zaenuddin",{"name":1090,"orcid":11},"Hendra Sanjaya",{"tldr":1092,"method":1093,"finding":1094,"direction":810,"opportunity":1095},"构建融合可解释机器学习与印尼语GenAI推荐层的智能灌溉决策支持系统。","六种分类算法、回归、孤立森林异常检测与遗传算法优化规则推荐层。","梯度提升分类F1达0.980，GenAI界面可用性最佳，降低非技术用户使用门槛。","可探索多语言本地化GenAI推荐层与边缘部署，并开展真实农户田间验证。","2026-10-21T23:30:46.441864Z",{"id":1098,"title":1099,"url":1100,"summary":1101,"summary_zh":1102,"content":11,"source_name":1103,"source_url":1100,"published_at":651,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1104,"score_detail":1105,"sources":1107,"tags":1109,"primary_topic":1112,"secondary_topics":1113,"classification":1116,"search_phrases":1162,"slug":1165,"view_count":424,"doi":1166,"paper":1167,"created_at":1190},5483,"Soil Salinity under Climate Change in Pakistan: Emerging Challenges and Sustainable Management Approaches for Agriculture","https:\u002F\u002Fdoi.org\u002F10.71317\u002Fkjard.2.10.2026.883","Soil salinity is a major constraint to agricultural productivity, soil health, and food security in Pakistan, particularly under changing climatic conditions. Rising temperatures, increased evapotranspiration, irregular precipitation, droughts, flooding, and sea-level rise can intensify salt accumulation and alter soil–water interactions. This review examines the emerging challenges associated with climate change and soil salinity in Pakistan, focusing on their impacts on soil properties, crop physiology, agricultural production, and rural livelihoods. It discusses the mechanisms of soil salinity and sodicity, their spatial distribution, and the interactions among climate variability, irrigation practices, groundwater quality, and secondary salinization. Furthermore, sustainable management approaches are evaluated, including gypsum application, organic amendments, integrated nutrient management, efficient irrigation, drainage improvement, and appropriate leaching strategies. Climate-resilient approaches, such as conventional crop breeding, modern biotechnology, halophyte utilization, plant growth-promoting microorganisms, and mycorrhizal associations, are also explored. The review highlights the potential of remote sensing, geographic information systems, precision agriculture, and predictive modelling to support salinity monitoring and site-specific management. Despite these opportunities, important challenges remain, including insufficient long-term monitoring, limited region-specific data, economic constraints, and gaps in farmer awareness and institutional coordination. Addressing these challenges requires integrated research, effective agricultural policies, improved extension services, and collaboration among researchers, policymakers, and farming communities. Prioritizing locally adapted, economically feasible, and environmentally sustainable interventions can strengthen agricultural resilience, restore salt-affected soils, and protect freshwater resources. Overall, integrating climate adaptation with sustainable soil and water management is essential for maintaining agricultural productivity and improving long-term food security in Pakistan.","土壤盐渍化是制约巴基斯坦农业生产力、土壤健康和粮食安全的主要因素，在气候变化条件下尤为突出。气温升高、蒸散加剧、降水不规律、干旱、洪水以及海平面上升可能加剧盐分积累并改变土壤—水相互作用。本文综述了巴基斯坦气候变化与土壤盐渍化相关的新兴挑战，重点关注其对土壤性质、作物生理、农业生产和农村生计的影响。文章讨论了土壤盐渍化和钠质化的机制、其空间分布，以及气候变率、灌溉实践、地下水质量和次生盐渍化之间的相互作用。此外，评估了可持续管理途径，包括施用石膏、有机改良、综合养分管理、高效灌溉、排水改良和适宜的淋洗策略。还探讨了气候韧性方法，如常规作物育种、现代生物技术、盐生植物利用、植物促生微生物和菌根共生。本文强调了遥感、地理信息系统、精准农业和预测建模在支持盐渍化监测和因地制宜管理方面的潜力。尽管存在这些机遇，重要挑战依然存在，包括长期监测不足、区域特定数据有限、经济制约以及农民意识和制度协调方面的差距。应对这些挑战需要综合研究、有效的农业政策、改进的推广服务以及研究人员、政策制定者和农业社区之间的协作。优先采取适应当地、经济可行且环境可持续的干预措施，可增强农业韧性、修复盐渍化土壤并保护淡水资源。总体而言，将气候适应与可持续水土管理相结合，对于维持巴基斯坦农业生产力和改善长期粮食安全至关重要。","Kashmir Journal of Academic Research and Development",66,{"impact":821,"substance":361,"depth":602,"authority":416,"freshness":173,"relevant":455,"comment":1106},"综述性论文，系统梳理气候变化下巴基斯坦土壤盐渍化成因与可持续治理路径，兼具遥感与精准农业视角，对盐碱地治理议题有参考价值，但属区域性综述、非突破性成果。",[1108],{"name":1103,"url":1100},[679,976,1110,915,1111],"遥感监测","土壤盐渍化",{"code":184,"slug":185,"name":186,"path":187,"parent_code":128},[1114,1115],{"code":144,"slug":145,"name":146,"path":147,"parent_code":128},{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},{"status":597,"locked":581,"version":4,"method":598,"evidence":1117},{"candidates":1118,"agricultural_evidence":603},[1119,1125,1129,1133,1137,1143,1147,1153,1157],{"code":184,"score":361,"supported":603,"title":1120,"abstract":1121,"tags":1124},[862],[679,1122,1123,862],"气候适应","干旱",[679],{"code":144,"score":602,"supported":603,"title":1126,"abstract":1127,"tags":1128},[145],[618,145],[976],{"code":152,"score":385,"supported":603,"title":1130,"abstract":1131,"tags":1132},[],[606,857,153,673],[915],{"code":32,"score":752,"supported":603,"title":1134,"abstract":1135,"tags":1136},[],[724,761],[1110],{"code":263,"score":615,"supported":603,"title":1138,"abstract":1139,"tags":1142},[],[1140,1141],"粮食安全","food security",[],{"code":16,"score":615,"supported":603,"title":1144,"abstract":1145,"tags":1146},[],[826,845],[],{"code":40,"score":615,"supported":603,"title":1148,"abstract":1149,"tags":1152},[],[1150,1151],"地理信息","geographic information",[],{"code":96,"score":676,"supported":603,"title":1154,"abstract":1155,"tags":1156},[],[876],[],{"code":542,"score":676,"supported":603,"title":1158,"abstract":1159,"tags":1161},[],[1160],"农业政策",[],[1163,1164],"巴基斯坦 土壤盐渍化","盐碱地 遥感监测","巴基斯坦土壤盐渍化-5483","10.71317\u002Fkjard.2.10.2026.883",{"doi":1166,"openalex_id":1168,"authors":1169,"venue":1103,"cited_by_count":424,"oa_url":1100,"card":1185,"direction":708,"ingested_from":642},"W7222999158",[1170,1172,1174,1176,1178,1180,1183],{"name":1171,"orcid":11},"Asifa Naz",{"name":1173,"orcid":11},"Muhammad Abu Baker Siddiq",{"name":1175,"orcid":11},"Syed Asghar Hussain Shah",{"name":1177,"orcid":11},"Shahrish Nawaz",{"name":1179,"orcid":11},"Muhmmad Irfan",{"name":1181,"orcid":1182},"Rizwana Kausar","https:\u002F\u002Forcid.org\u002F0000-0002-1339-3312",{"name":1184,"orcid":11},"Muhammad Nouman Khalid",{"tldr":1186,"method":1187,"finding":1188,"direction":708,"opportunity":1189},"综述气候变化下巴基斯坦土壤盐渍化的挑战与可持续管理途径。","文献综述，整合盐渍化机制、空间分布及遥感GIS与预测模型应用。","需将气候适应与水土管理结合，优先本地化、经济可行的干预措施。","可填补长期盐渍化监测与区域数据空白，发展遥感+预测模型的精准分区治理。","2026-10-21T23:30:23.059448Z",{"id":1192,"title":1193,"url":1194,"summary":1195,"summary_zh":1196,"content":11,"source_name":578,"source_url":1194,"published_at":1197,"category":580,"cover_url":11,"hotness":447,"is_selected":581,"score":1198,"score_detail":1199,"sources":1202,"tags":1206,"primary_topic":1208,"secondary_topics":1209,"classification":1211,"search_phrases":1238,"slug":1241,"view_count":424,"doi":1242,"paper":1243,"created_at":1260},5474,"Real-World Impact: Transforming Agriculture with Technology A Multi-Stakeholder Review of Smart Monitoring, Precision Irrigation, and Digital Value-Chain Integration","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23510500","There's a deliberate and significant transition from input to information. This article combines peer-reviewed evidence and public-sector data on six interrelated technology clusters that are fundamentally changing on-farm and off-farm decision making artificial intelligence (AI) based Farm Management Platforms, Internet of Things (IoT) smart irrigation, aerial and satellite crop monitoring, blockchain-enabled supply-chain digitisation, sustainability and carbon-tracking instruments, and farm data analytics dashboards. In the literature examined, precision tools have been correlated with 15% to 30% gains in crop yields, 30% to 55% of water saved during irrigation, and 10% to 20% of operational costs reduced, all with a range of variability based on the crop, the geographical region, and the size of the farm. It examines the mechanisms of these effects on the one hand and the differential rates of benefit, on the other, between large commercial farms and smallholders, and the policy and infrastructural conditions that drive actual adoption. It also highlights areas of current evidence which are lacking, such as limited long horizon field trials, poor interoperability standards, and lack of social outcome data. The article ends with a discussion on how to turn pilots into lasting, system-level change in food production, both from the government and enterprise side, as well as from the perspective of small and medium producers.","从投入要素到信息的转变是有意为之且意义重大的。本文结合经同行评审的证据与公共部门数据，聚焦六个相互关联、正在从根本上改变农场内外决策方式的技术集群：基于人工智能（AI）的农场管理平台、物联网（IoT）智能灌溉、航空与卫星作物监测、区块链赋能的供应链数字化、可持续性与碳追踪工具，以及农场数据分析仪表盘。在所考察的文献中，精准工具与作物产量提升15%至30%、灌溉用水节约30%至55%、运营成本降低10%至20%相关联，且这些效果因作物、地理区域和农场规模而存在不同程度的差异。本文一方面考察这些效应的作用机制，另一方面分析大型商业农场与小农户之间受益程度的差异，以及驱动实际采用的政策与基础设施条件。文章还指出了当前证据的薄弱之处，如缺乏长期田间试验、互操作性标准不完善以及社会成效数据缺失。文章最后讨论了如何从政府与企业两侧，以及中小生产者视角出发，将试点项目转化为粮食生产中持久、系统层面的变革。","2026-11-25T00:00:00Z",73,{"impact":321,"substance":1200,"depth":1038,"authority":821,"freshness":424,"relevant":455,"comment":1201},21,"多利益相关方综述整合六类技术集群的量化效益与采纳差异，信息增量足、产业参考价值高，但发布于一个月后，时效性不足，暂不宜进入每日精选。",[1203,1204],{"name":578,"url":1194},{"name":578,"url":1205},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23527988",[588,589,914,1207,726],"区块链溯源",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[1210],{"code":48,"slug":49,"name":50,"path":51,"parent_code":7},{"status":597,"locked":581,"version":4,"method":598,"evidence":1212},{"candidates":1213,"agricultural_evidence":603},[1214,1218,1222,1226,1230,1234],{"code":152,"score":602,"supported":603,"title":1215,"abstract":1216,"tags":1217},[153],[606,153],[726],{"code":48,"score":385,"supported":603,"title":1219,"abstract":1220,"tags":1221},[],[747,748,749],[914],{"code":24,"score":400,"supported":603,"title":1223,"abstract":1224,"tags":1225},[],[610],[589],{"code":496,"score":676,"supported":603,"title":1227,"abstract":1228,"tags":1229},[],[1069],[],{"code":465,"score":455,"supported":581,"title":1231,"abstract":1232,"tags":1233},[],[],[1207],{"code":16,"score":455,"supported":581,"title":1235,"abstract":1236,"tags":1237},[],[],[588],[1239,1240],"Zenodo 智慧农业 多利益相关方综述","精准灌溉 物联网 区块链 供应链","Zenodo智慧农业多利益相关方综述-5474","10.5281\u002Fzenodo.23510500",{"doi":1242,"openalex_id":1244,"authors":1245,"venue":578,"cited_by_count":424,"oa_url":1194,"card":1254,"direction":810,"ingested_from":642},"W7223034914",[1246,1249,1251],{"name":1247,"orcid":1248},"A. Shaji George","https:\u002F\u002Forcid.org\u002F0000-0002-8677-3682",{"name":1250,"orcid":11},"Dr.T.Baskar",{"name":1252,"orcid":1253},"P. Balaji Srikaanth","https:\u002F\u002Forcid.org\u002F0000-0003-4717-7367",{"tldr":1255,"method":1256,"finding":1257,"direction":1258,"opportunity":1259},"综述六大农业数字技术集群对农场决策的变革及实际效益与采纳差异。","综合同行评议证据与公共部门数据，多利益相关方综述六类技术。","精准技术可增产15-30%、节水30-55%、降本10-20%，但小农获益不均。","数字乡村与农业信息化","缺乏长期田间试验、互操作标准与社会效益数据，小农采纳机制是研究空白。","2026-10-21T23:30:08.684798Z",{"id":1262,"title":1263,"url":1264,"summary":1265,"summary_zh":1266,"content":11,"source_name":1267,"source_url":1264,"published_at":1036,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1268,"score_detail":1269,"sources":1271,"tags":1273,"primary_topic":1278,"secondary_topics":1279,"classification":1280,"search_phrases":1296,"slug":1299,"view_count":424,"doi":1300,"paper":1301,"created_at":1330},5399,"Spatial Heterogeneity and Nonlinear Environmental Associations of Positive Climatic Moisture Deficit with Implications for Sustainable Water Resource Assessment: A Case Study of Anyang","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010595","Positive climatic moisture deficit (CMD+) characterizes the seasonal imbalance between precipitation supply and atmospheric water demand, yet its spatial heterogeneity and associations with environmental and human-related factors remain insufficiently understood. Taking Anyang, China, as a case study, we calculated annual CMD+ for 2000–2020 using 1 km monthly precipitation and potential evapotranspiration data and applied an extreme gradient boosting (XGBoost)–SHapley Additive exPlanations (SHAP) framework to the corresponding long-term mean fields to examine climatological spatial heterogeneity. Five predictors were considered, including elevation, normalized difference vegetation index (NDVI), irrigation fraction, built-up fraction, and population density. Nested spatial-block cross-validation showed good model generalization. Long-term mean CMD+ was generally lower in the western mountainous area and higher across the central and eastern plains. The digital elevation model (DEM) accounted for 66.10% of the normalized mean absolute SHAP importance, followed by NDVI (13.47%) and irrigation fraction (9.72%). A DEM-excluded sensitivity model retained a spatial cross-validated R2 of 0.781, compared with 0.898 for the full model. SHAP dependence analysis revealed pronounced nonlinear responses, with primary local model response transition points at approximately 297.1 m for DEM, 0.812 for NDVI, and 23.1% for irrigation fraction. The strongest pairwise SHAP interaction occurred between NDVI and irrigation fraction, accounting for 21.87% of total pairwise interaction strength. These results show that the spatial heterogeneity of CMD+ in Anyang is closely associated with topographic background, while vegetation status and irrigated agriculture provide additional nonlinear and interactive explanatory information. The identified spatial patterns and model-response transitions provide spatial information for understanding regional climatic moisture deficits and for subsequent sustainable water resource assessment.","正向气候水分亏缺（CMD+）刻画了降水供给与大气水分需求之间的季节性失衡，但其空间异质性及其与环境因素和人为因素的关联仍缺乏充分认识。以中国安阳为案例区，本研究利用1 km月降水量与潜在蒸散量数据计算了2000—2020年的年CMD+，并将极端梯度提升（XGBoost）—SHapley加性解释（SHAP）框架应用于相应的长期均值场，以考察气候态空间异质性。研究考虑了5个预测因子，包括高程、归一化植被指数（NDVI）、灌溉面积比例、建成区比例和人口密度。嵌套空间分块交叉验证表明模型具有良好的泛化能力。长期平均CMD+总体表现为西部山区较低、中部和东部平原较高。数字高程模型（DEM）占归一化平均绝对SHAP重要性的66.10%，其次为NDVI（13.47%）和灌溉面积比例（9.72%）。剔除DEM的敏感性模型保持了0.781的空间交叉验证R²，而完整模型为0.898。SHAP依赖分析揭示了显著的非线性响应，主要局部模型响应转变点分别约为DEM 297.1 m、NDVI 0.812和灌溉面积比例23.1%。最强的成对SHAP交互作用出现在NDVI与灌溉面积比例之间，占总成对交互强度的21.87%。结果表明，安阳CMD+的空间异质性与地形背景密切相关，而植被状况和灌溉农业提供了额外的非线性和交互解释信息。所识别的空间格局和模型响应转变点为理解区域气候水分亏缺及后续可持续水资源评估提供了空间信息。","Sustainability",64,{"impact":173,"substance":361,"depth":654,"authority":821,"freshness":583,"relevant":455,"comment":1270},"以安阳为案例，用遥感与XGBoost-SHAP揭示气候水分亏缺的空间异质性，方法有新意、结论可靠，但属区域案例研究，公共影响有限。",[1272],{"name":1267,"url":1264},[1274,741,1275,1276,1277],"农业遥感","灌溉管理","水资源评估","气候干旱",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1281},{"candidates":1282,"agricultural_evidence":603},[1283,1288,1292],{"code":152,"score":361,"supported":603,"title":1284,"abstract":1286,"tags":1287},[1285],"water resource",[606,857,153,1285,673],[1275],{"code":24,"score":455,"supported":581,"title":1289,"abstract":1290,"tags":1291},[],[],[741],{"code":32,"score":455,"supported":581,"title":1293,"abstract":1294,"tags":1295},[],[],[1274],[1297,1298],"安阳 气候水分亏缺 遥感","XGBoost SHAP 水资源评估","安阳气候水分亏缺遥感-5399","10.3390\u002Fsu182010595",{"doi":1300,"openalex_id":1302,"authors":1303,"venue":1267,"cited_by_count":424,"oa_url":1264,"card":1325,"direction":1258,"ingested_from":642},"W7222973420",[1304,1306,1309,1312,1315,1317,1319,1321,1323],{"name":1305,"orcid":11},"Yan Li",{"name":1307,"orcid":1308},"Xiaohua Yang","https:\u002F\u002Forcid.org\u002F0000-0001-8387-5213",{"name":1310,"orcid":1311},"Dehui Bian","https:\u002F\u002Forcid.org\u002F0000-0001-6921-1875",{"name":1313,"orcid":1314},"Qi Wang","https:\u002F\u002Forcid.org\u002F0000-0002-3156-9246",{"name":1316,"orcid":11},"Lequn Gu",{"name":1318,"orcid":11},"Ailing Zhang",{"name":1320,"orcid":11},"Wei Gao",{"name":1322,"orcid":11},"Wenjie Qi",{"name":1324,"orcid":11},"Yayun Ma",{"tldr":1326,"method":1327,"finding":1328,"direction":708,"opportunity":1329},"以安阳为例，用XGBoost-SHAP分析2000—2020年气候水分亏缺的空间异质性及其环境关联。","1 km月降水与潜在蒸散数据计算CMD+，结合XGBoost-SHAP与嵌套空间","CMD+西部山区低、中东部平原高；高程贡献66.1%，NDVI与灌溉比例呈显著非线性交互。","可引入多源遥感与作物种植结构，探究CMD+非线性阈值对灌溉需水与水资源配置的传导机制。","2026-10-20T23:30:23.927575Z",{"id":1332,"title":1333,"url":1334,"summary":1335,"summary_zh":1336,"content":11,"source_name":1337,"source_url":1334,"published_at":1036,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1338,"score_detail":1339,"sources":1341,"tags":1343,"primary_topic":1347,"secondary_topics":1348,"classification":1350,"search_phrases":1367,"slug":1370,"view_count":424,"doi":1371,"paper":1372,"created_at":1391},5392,"Wetland Loss Associated with Hydro-Agricultural Development in North African Floodplains: Insights from a Historical Cartographic Analysis of the Gharb Plain (Morocco)","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fd18100642","Mediterranean floodplain wetlands are among the most productive ecosystems, yet they are increasingly threatened by agricultural intensification and hydrological modifications. In North Africa, most of these wetlands have been converted to agricultural lands using an extensive ‘drainage–irrigation’ process that has irreversibly degraded them. This study documents this loss through the illustrative example of the Gharb Plain in the northwest of Morocco. The agricultural development process of this plain, initiated in 1927 and only recently completed, is documented by both historical maps and remote sensing data, which we combined to reconstruct the simultaneous wetland decline and agriculture extension. The results reveal a dramatic decline in marshland ecosystems, covering about 88% of the original marshlands in less than one cycle. Several wetlands, including large ones, have entirely disappeared, particularly within the Sebou and Baht river floodplains. To ensure their human occupation, the drainage process and river canalization have been supported by a large program of dam construction upstream of the Gharb Plain. The wetland loss estimate highlights the substantial ecological costs of agricultural intensification and underscores the need for integrated management strategies balancing food production and patrimony conservation. Future research should focus on wetland restoration, ecosystem service assessment, and climate-resilient water management in Mediterranean floodplains.","地中海洪泛平原湿地是最具生产力的生态系统之一，却日益受到农业集约化与水文改造的威胁。在北非，大多数此类湿地已通过大规模的“排水—灌溉”过程被转变为农业用地，并因此遭到不可逆的退化。本研究以摩洛哥西北部加尔卜平原（Gharb Plain）为例，记录了这一丧失过程。该平原的农业开发进程始于1927年，直至近期才告完成，我们结合历史地图与遥感数据，重建了湿地衰退与农业扩张同步发生的过程。结果表明，沼泽生态系统急剧减少，在不到一个周期内约88%的原生沼泽地消失。包括大型湿地在内的多处湿地已完全消失，尤其是在塞布河（Sebou）与巴赫特河（Baht）洪泛平原内。为保障人类占用，排水过程与河流渠化得到了加尔卜平原上游大规模水坝建设计划的支持。湿地丧失的估算凸显了农业集约化所带来的巨大生态代价，并强调需要制定兼顾粮食生产与遗产保护的综合管理策略。未来研究应聚焦于湿地恢复、生态系统服务评估以及地中海洪泛平原的气候韧性水资源管理。","Diversity",76,{"impact":654,"substance":1200,"depth":361,"authority":821,"freshness":173,"relevant":455,"comment":1340},"该研究结合历史地图与遥感数据，量化了北非洪泛平原湿地因农业开发而丧失的情况，方法扎实、结论明确，对农业生态与土地管理有参考价值，但属区域性案例研究，公共影响有限。",[1342],{"name":1337,"url":1334},[1344,1110,1345,661,1346],"生态修复","灌溉农业","湿地保护",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[1349],{"code":176,"slug":177,"name":178,"path":179,"parent_code":128},{"status":597,"locked":581,"version":4,"method":598,"evidence":1351},{"candidates":1352,"agricultural_evidence":603},[1353,1357,1363],{"code":152,"score":385,"supported":603,"title":1354,"abstract":1355,"tags":1356},[],[606,857,153],[1345],{"code":176,"score":583,"supported":603,"title":1358,"abstract":1359,"tags":1362},[],[1360,1361],"生态系统服务","ecosystem service",[661,1346,1344],{"code":32,"score":752,"supported":603,"title":1364,"abstract":1365,"tags":1366},[],[724,761],[1110],[1368,1369],"Gharb平原 湿地 遥感","摩洛哥 湿地 灌溉","Gharb平原湿地遥感-5392","10.3390\u002Fd18100642",{"doi":1371,"openalex_id":1373,"authors":1374,"venue":1337,"cited_by_count":424,"oa_url":1334,"card":1386,"direction":708,"ingested_from":642},"W7222966485",[1375,1378,1380,1383],{"name":1376,"orcid":1377},"Mohamed Dakki","https:\u002F\u002Forcid.org\u002F0000-0002-8042-3972",{"name":1379,"orcid":11},"Said El Falah",{"name":1381,"orcid":1382},"Ibrahim Makrane","https:\u002F\u002Forcid.org\u002F0009-0002-9201-206X",{"name":1384,"orcid":1385},"Ismail Mansouri","https:\u002F\u002Forcid.org\u002F0000-0002-3679-6050",{"tldr":1387,"method":1388,"finding":1389,"direction":708,"opportunity":1390},"用历史地图与遥感重建摩洛哥Gharb平原1927年以来的湿地丧失与农业扩张过程。","历史地图与遥感数据结合，重建湿地退缩与农田扩张的时空过程。","不到一个开发周期内约88%的原生沼泽消失，大型湿地完全丧失。","可延伸至地中海洪泛平原湿地恢复优先区识别与生态系统服务权衡研究。","2026-10-20T23:30:19.135602Z",{"id":1393,"title":1394,"url":1395,"summary":1396,"summary_zh":1397,"content":11,"source_name":578,"source_url":1395,"published_at":1036,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1398,"score_detail":1399,"sources":1401,"tags":1403,"primary_topic":1408,"secondary_topics":1409,"classification":1411,"search_phrases":1446,"slug":1449,"view_count":424,"doi":1450,"paper":1451,"created_at":1461},5381,"Climate-Smart Floriculture: Strategies for Sustainable Flower Production Under a Changing Climate","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23467834","Floriculture is a high-value horticultural sector comprising cut flowers, potted flowering plants, foliage plants, ornamental bulbs and nursery plants. The sector is increasingly exposed to climate variability through rising temperature, drought, irregular rainfall, extreme weather events, elevated atmospheric CO₂ and changing pest and disease pressure. These stresses can influence vegetative growth, flowering, flower quality, production scheduling and postharvest performance, thereby affecting the economic value of ornamental crops. Climate-smart floriculture provides an integrated framework for improving resilience while maintaining productivity and resource-use efficiency. Key strategies include climate-resilient cultivar selection, efficient irrigation, soil-moisture conservation, protected cultivation, microclimate regulation, integrated pest management and precision technologies. Genetic improvement offers a long-term approach for developing cultivars capable of maintaining desirable ornamental traits under environmental stress, whereas protected cultivation can buffer crops against external climatic fluctuations. Efficient irrigation, rainwater harvesting and improved soil management can reduce vulnerability to water scarcity, while integrated pest management can address climate-associated changes in pest and disease pressure. Precision agriculture, controlled-environment agriculture and machine-learning-based decision systems offer additional opportunities for real-time monitoring and resource optimisation. However, technological adoption is influenced by investment costs, knowledge availability, extension services, market access and supportive policies. This article discusses the major climate-related risks to floriculture and evaluates integrated strategies for developing productive, resource-efficient and climate-resilient flower production systems.","花卉产业是一个高附加值的园艺部门，包括切花、盆栽开花植物、观叶植物、观赏球根植物和苗木。该产业日益受到气候变率的威胁，表现为气温升高、干旱、降雨不规律、极端天气事件、大气CO₂浓度升高以及病虫害压力变化。这些胁迫可影响营养生长、开花、花卉品质、生产调度和采后性能，进而影响观赏作物的经济价值。气候智慧型花卉产业提供了一个综合框架，可在保持生产力和资源利用效率的同时提高韧性。关键策略包括气候韧性品种选择、高效灌溉、土壤水分保持、设施栽培、微气候调控、病虫害综合治理和精准技术。遗传改良为培育能够在环境胁迫下保持理想观赏性状的品种提供了长期途径，而设施栽培可缓冲作物免受外部气候波动的影响。高效灌溉、雨水收集和改善的土壤管理可降低对水资源短缺的脆弱性，而病虫害综合治理可应对气候相关的病虫害压力变化。精准农业、受控环境农业和基于机器学习的决策系统为实时监测和资源优化提供了额外机会。然而，技术采用受到投资成本、知识可得性、推广服务、市场准入和支持性政策的影响。本文讨论了花卉产业面临的主要气候相关风险，并评估了发展高产、资源高效和气候韧性花卉生产系统的综合策略。",77,{"impact":361,"substance":508,"depth":1038,"authority":821,"freshness":583,"relevant":455,"comment":1400},"系统综述花卉业气候风险与综合应对策略，具行业参考价值，但属综述性论文、非突破性成果。",[1402],{"name":578,"url":1395},[826,1404,1405,1406,1407],"病虫害防控","气候智慧农业","花卉产业","设施园艺",{"code":302,"slug":303,"name":304,"path":305,"parent_code":271},[1410],{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},{"status":597,"locked":581,"version":4,"method":598,"evidence":1412},{"candidates":1413,"agricultural_evidence":603},[1414,1421,1425,1430,1434,1438,1442],{"code":302,"score":361,"supported":603,"title":1415,"abstract":1417,"tags":1420},[1416],"floriculture",[1418,1419,1416],"花卉","ornamental",[1406],{"code":152,"score":583,"supported":603,"title":1422,"abstract":1423,"tags":1424},[],[606,857,153],[],{"code":184,"score":752,"supported":603,"title":1426,"abstract":1427,"tags":1429},[],[1123,1428],"drought",[1405],{"code":16,"score":752,"supported":603,"title":1431,"abstract":1432,"tags":1433},[],[826,845],[826],{"code":144,"score":615,"supported":603,"title":1435,"abstract":1436,"tags":1437},[],[618,145],[],{"code":24,"score":676,"supported":603,"title":1439,"abstract":1440,"tags":1441},[],[741],[],{"code":324,"score":455,"supported":581,"title":1443,"abstract":1444,"tags":1445},[],[],[1407],[1447,1448],"花卉 可持续生产 气候变化","气候智慧农业 病虫害防控 精准农业 花卉产业","花卉可持续生产气候变化-5381","10.5281\u002Fzenodo.23467834",{"doi":1450,"openalex_id":1452,"authors":1453,"venue":578,"cited_by_count":424,"oa_url":1395,"card":1456,"direction":810,"ingested_from":642},"W7222973900",[1454],{"name":1455,"orcid":11},"Shriya Gupta1 and Harish Kumar2",{"tldr":1457,"method":1458,"finding":1459,"direction":810,"opportunity":1460},"综述气候智慧型花卉生产策略，评估气候变化风险与综合适应措施。","文献综述，整合抗逆品种、灌溉、保护地栽培、IPM与精准技术。","综合策略可提升花卉气候韧性，但技术采纳受成本、知识与政策制约。","花卉领域精准农业与机器学习决策应用少，可研究低成本智能环境调控与品种-技术协同。","2026-10-20T23:30:08.681802Z",{"id":1463,"title":1464,"url":1465,"summary":1466,"summary_zh":1467,"content":11,"source_name":1468,"source_url":1465,"published_at":1036,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":329,"score_detail":1469,"sources":1471,"tags":1473,"primary_topic":1475,"secondary_topics":1476,"classification":1478,"search_phrases":1497,"slug":1500,"view_count":424,"doi":1501,"paper":1502,"created_at":1520},5378,"IoT-Enabled Smart Irrigation Using ESP32 and LoRa for Precision Water Management in Connectivity-Limited Regions","https:\u002F\u002Fdoi.org\u002F10.3390\u002Felectronics15204831","In this paper, a new method for irrigation systems in agriculture has been reported. This work aims to design and implement a smart irrigation system based on the ESP32 platform and Internet of Things (IoT) technologies for optimizing water usage management. With the rapid growth of Internet of Things (IoT) technologies, where devices are connected and can be controlled through the internet, it is now feasible to design smart irrigation systems based on real-time environmental data to deliver optimal water use with minimal human intervention. In Sahara areas, where communication networks and internet connections are lacking, alternative communication protocols are necessary for data transfer. LoRa technology based on the SX1278 transceiver provides long-range, low-power communication that can achieve multi-kilometer ranges (up to 10–15 km in rural areas) under ideal conditions: line-of-sight, high antenna height, low data rate, and open rural environments between distributed sensor nodes and a central gateway. However, this theoretical range cannot be assumed in practice. Field tests under standard farm deployment conditions (ground-level placement and vegetation interference) showed that the link was lost at approximately 120 m, which validates the system at the scale of a field plot. This project used Arduino (version 2.3.7) software to program the NodeMCU (ESP32) board to link the board with the Blynk cloud application. The project is used to monitor the temperature, humidity, and soil moisture and do the command for the irrigation system, with master and slave cards using LoRa technology as a communication tool to replace communication systems like WiFi or cellular networks in deserted or remote areas, which might not offer sufficient coverage or could be too expensive to build. To address this challenge, this paper presents the design and implementation of a smart irrigation system based on the ESP32 microcontroller and LoRa (SX1278) technology, with the long-term objective of helping in the modernization of traditional agriculture and environmental sustainability. Extending the coverage to larger fields and Sahara areas would require elevated antennas, optimized LoRa parameters (spreading factor and bandwidth), multi-hop relay nodes, or multiple gateways; these strategies are proposed as future work.","本文报道了一种农业灌溉系统的新方法。本工作旨在设计和实现一种基于ESP32平台和物联网（Internet of Things, IoT）技术的智能灌溉系统，以优化用水管理。随着物联网技术的快速发展，设备得以互联并可通过互联网进行控制，如今基于实时环境数据设计智能灌溉系统，以在最少人工干预下实现最优用水已成为可能。在撒哈拉地区，由于缺乏通信网络和互联网连接，数据传输需要采用替代通信协议。基于SX1278收发器的LoRa技术可提供远距离、低功耗通信，在理想条件下（视距传输、天线高度较高、低数据速率以及分布式传感器节点与中心网关之间开阔的农村环境），其通信距离可达数公里（农村地区可达10–15 km）。然而，这一理论距离在实际中并不能假定成立。在标准农田部署条件下（地面放置和植被干扰）进行的现场测试表明，链路在约120 m处即发生中断，这验证了系统在田块尺度上的可行性。本项目使用Arduino（版本2.3.7）软件对NodeMCU（ESP32）开发板进行编程，将开发板与Blynk云应用相连接。该项目用于监测温度、湿度和土壤水分，并向灌溉系统发送指令，主从卡采用LoRa技术作为通信工具，以替代WiFi或蜂窝网络等通信系统——这些系统在荒漠或偏远地区可能覆盖不足，或建设成本过高。为应对这一挑战，本文提出了基于ESP32微控制器和LoRa（SX1278）技术的智能灌溉系统的设计与实现，其长期目标是助力传统农业的现代化和环境可持续性。要将覆盖范围扩展至更大田块和撒哈拉地区，需要架高天线、优化LoRa参数（扩频因子和带宽）、采用多跳中继节点或部署多个网关；这些策略被提出作为未来工作。","Electronics",{"impact":416,"substance":361,"depth":654,"authority":821,"freshness":173,"relevant":455,"comment":1470},"面向无网络覆盖地区的ESP32+LoRa智能灌溉系统，含实地链路测试数据，方法有参考价值但属细分技术进展，未达每日精选门槛。",[1472],{"name":1468,"url":1465},[588,747,826,977,1474],"LoRa",{"code":48,"slug":49,"name":50,"path":51,"parent_code":7},[1477],{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},{"status":597,"locked":581,"version":4,"method":598,"evidence":1479},{"candidates":1480,"agricultural_evidence":603},[1481,1485,1489,1493],{"code":48,"score":361,"supported":603,"title":1482,"abstract":1483,"tags":1484},[749],[747,748,749],[747],{"code":152,"score":602,"supported":603,"title":1486,"abstract":1487,"tags":1488},[153],[606,153],[977],{"code":144,"score":615,"supported":603,"title":1490,"abstract":1491,"tags":1492},[],[618,145],[],{"code":16,"score":69,"supported":581,"title":1494,"abstract":1495,"tags":1496},[],[],[588,826],[1498,1499],"ESP32 LoRa 智能灌溉","SX1278 精准灌溉","ESP32LoRa智能灌溉-5378","10.3390\u002Felectronics15204831",{"doi":1501,"openalex_id":1503,"authors":1504,"venue":1468,"cited_by_count":424,"oa_url":1465,"card":1515,"direction":810,"ingested_from":642},"W7222959710",[1505,1507,1509,1512],{"name":1506,"orcid":11},"Hanfoug Salah",{"name":1508,"orcid":11},"Riad Saidi",{"name":1510,"orcid":1511},"Abdelaziz Aouiche","https:\u002F\u002Forcid.org\u002F0000-0003-1378-7941",{"name":1513,"orcid":1514},"Yazeed Alkhrijah","https:\u002F\u002Forcid.org\u002F0000-0001-7352-003X",{"tldr":1516,"method":1517,"finding":1518,"direction":810,"opportunity":1519},"基于ESP32与LoRa构建智能灌溉系统，在无网络覆盖区实现精准用水管理。","ESP32采集温湿度和土壤水分，经LoRa(SX1278)传输至网关并接入Bly","实际农田条件下LoRa链路仅约120米即中断，远低于理论公里级。","可研究多跳中继、天线高度与扩频参数优化，提升偏远农田LoRa组网覆盖与可靠性。","2026-10-20T23:30:08.464791Z",{"id":1522,"title":1523,"url":1524,"summary":1525,"summary_zh":1526,"content":11,"source_name":1527,"source_url":1524,"published_at":1528,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1198,"score_detail":1529,"sources":1531,"tags":1533,"primary_topic":1536,"secondary_topics":1537,"classification":1539,"search_phrases":1576,"slug":1579,"view_count":424,"doi":11,"paper":1580,"created_at":1595},5312,"Agricultural Production under Climate Change in Afghanistan: Impacts, Challenges and Adaptation Options (A Review)","https:\u002F\u002Fesrj.edu.af\u002Fesrj\u002Farticle\u002Fview\u002F123","Climate change poses serious challenges to agriculture in Afghanistan, a country largely dependent on rainfed farming and highly vulnerable to water scarcity, drought, and temperature extremes. Understanding the impacts of climate variability and identifying effective adaptation strategies are essential to sustain agricultural productivity and ensure food security. This systematic review synthesizes empirical, modeling, and review studies on climate change effects on Afghan agriculture, assesses adaptation measures, and integrates regional experiences from Pakistan, Iran, Tajikistan, and Uzbekistan. A structured literature search was conducted using peer-reviewed articles, institutional reports, and regional studies published between 2000 and 2025. Studies were selected based on relevance to Afghan agro-ecological systems, climate stressors, and adaptation strategies. We extracted data using a structured table format following PRISMA guidelines, combining national and regional evidence. Findings indicate that water scarcity, prolonged drought, rising temperatures, and erratic precipitation are the main stressors affecting major crops, including wheat, barley, chickpea, maize, and cotton. Yield reductions ranged from 12% to 25% across provinces. Adaptation strategies such as Climate-Smart Agriculture (CSA), efficient irrigation (drip and sprinkler), rainwater harvesting, mulching, and drought- or heat-tolerant crop varieties were most effective. Regional evidence confirms the transferability of these measures under similar agro-climatic conditions. In conclusion, climate change significantly threatens agricultural productivity in Afghanistan. Evidence-based adaptation strategies, supported by coordinated policy and capacity-building initiatives, can enhance resilience, protect rural livelihoods, and ensure sustainable food security.","气候变化对阿富汗农业构成严峻挑战，该国农业在很大程度上依赖雨养耕作，极易受到水资源短缺、干旱和极端温度的影响。理解气候变异的影响并确定有效的适应策略，对于维持农业生产力和保障粮食安全至关重要。本系统综述综合了关于气候变化对阿富汗农业影响的实证研究、模拟研究和综述研究，评估了适应措施，并整合了巴基斯坦、伊朗、塔吉克斯坦和乌兹别克斯坦的区域经验。采用结构化文献检索方法，检索了2000年至2025年间发表的同行评审论文、机构报告和区域研究。研究依据其与阿富汗农业生态系统、气候胁迫因子和适应策略的相关性进行筛选。我们遵循PRISMA指南，采用结构化表格格式提取数据，综合了国家层面和区域层面的证据。研究结果表明，水资源短缺、持续干旱、气温上升和降水不稳定是影响主要作物（包括小麦、大麦、鹰嘴豆、玉米和棉花）的主要胁迫因子。各省产量降幅在12%至25%之间。气候智慧型农业（CSA）、高效灌溉（滴灌和喷灌）、雨水收集、覆盖栽培以及耐旱或耐热作物品种等适应策略最为有效。区域证据证实了这些措施在相似农业气候条件下的可推广性。总之，气候变化显著威胁阿富汗的农业生产力。以协调政策和能力建设举措为支撑的循证适应策略能够增强韧性、保护农村生计并确保可持续的粮食安全。","ESRJ","2026-10-16T00:00:00Z",{"impact":361,"substance":508,"depth":1038,"authority":416,"freshness":615,"relevant":455,"comment":1530},"系统综述整合2000-2025年证据，量化减产12%-25%并提出可迁移的适应策略，对区域农业气候韧性研究有参考价值，但非国内三农政策或产业事件，时效性一般。",[1532],{"name":1527,"url":1524},[588,1140,679,1534,1535],"适应性策略","水资源短缺",{"code":184,"slug":185,"name":186,"path":187,"parent_code":128},[1538],{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},{"status":597,"locked":581,"version":4,"method":598,"evidence":1540},{"candidates":1541,"agricultural_evidence":603},[1542,1546,1550,1554,1558,1562,1566,1571],{"code":184,"score":361,"supported":603,"title":1543,"abstract":1544,"tags":1545},[862],[679,1123,862,1428],[679],{"code":152,"score":583,"supported":603,"title":1547,"abstract":1548,"tags":1549},[],[606,857,153],[],{"code":263,"score":752,"supported":603,"title":1551,"abstract":1552,"tags":1553},[],[1140,1141],[1140],{"code":216,"score":615,"supported":603,"title":1555,"abstract":1556,"tags":1557},[],[218,217],[],{"code":224,"score":615,"supported":603,"title":1559,"abstract":1560,"tags":1561},[],[226,225],[],{"code":248,"score":615,"supported":603,"title":1563,"abstract":1564,"tags":1565},[],[975,997],[],{"code":16,"score":400,"supported":603,"title":1567,"abstract":1568,"tags":1570},[],[1569],"smart agriculture",[588],{"code":176,"score":676,"supported":603,"title":1572,"abstract":1573,"tags":1575},[],[1574],"农业生态",[],[1577,1578],"阿富汗 气候变化","气候智慧型农业 灌溉","阿富汗气候变化-5312",{"doi":11,"openalex_id":1581,"authors":1582,"venue":1527,"cited_by_count":424,"oa_url":1524,"card":1589,"direction":810,"ingested_from":642},"W7222907396",[1583,1585,1587],{"name":1584,"orcid":11},"Mohammad Shafiq Faieq",{"name":1586,"orcid":11},"Mustafa Abid",{"name":1588,"orcid":11},"Abdul khalil Afghani",{"tldr":1590,"method":1591,"finding":1592,"direction":1593,"opportunity":1594},"系统综述气候变化对阿富汗农业的影响、挑战与适应策略。","按PRISMA检索2000-2025年文献，整合阿富汗及周边四国区域证据。","水资源短缺与干旱致主要作物减产12%-25%，气候智慧型农业与节水灌溉最有效。","农业绿色发展与碳","可研究气候智慧型农业措施在阿富汗及周边干旱区的本地化适配与推广机制。","2026-10-19T23:30:11.285828Z",{"id":1597,"title":1598,"url":1599,"summary":1600,"summary_zh":11,"content":1601,"source_name":1602,"source_url":11,"published_at":1603,"category":1604,"cover_url":11,"hotness":385,"is_selected":581,"score":1605,"score_detail":1606,"sources":1608,"tags":1610,"primary_topic":1615,"secondary_topics":1616,"classification":1617,"search_phrases":1628,"slug":1631,"view_count":424,"doi":11,"paper":11,"created_at":1632},5292,"福建省农科院联合开展福清三星村\"生态种植\"实验 三年渐进破解库区水质与种粮矛盾","https:\u002F\u002Fwww.faas.cn\u002Fcms\u002Fhtml\u002Ffjsnykxy\u002F2026-10-15\u002F1462192328.html","2023年7月福建\"一闸三线\"工程全线通水,东张水库从灌溉型水库升级为向平潭供水的调节库,水质要求从农业灌溉标准跃升为饮用水标准;由自然部东南丘陵土地整治野外科学观测研究站、福建省农科院资环所罗旭辉团队制定\"第一年无肥无药、第二年控肥控药,第三年逐步恢复产能\"的渐进式技术路线,形成\"政府+企业+科研+合作社\"四方协作模式。","三星村稻田的试验，不只是简单的农业经济账，更是生态账、社会账。三星村，人均耕地仅有0.2-0.3亩。单纯依靠卖稻谷，农业对家庭收入贡献有限。项目最大的难点，不是施肥用药的技术参数，而是转变村民固有认知。\n\n项目实施以来，农户看着一批批游客慕名来到家门口，想法渐渐从追求最高产量，转向兼顾田间环境与水库水质。“田间环境，本身就是宝贵资源，守护库区水质也与村庄发展息息相关。生态种植方式需要一个长期的过程，如果能在期间提升群众获得感，我们后续的技术落地、环境管护都会顺畅很多。”罗旭辉说。\n\n对于“无废乡村”理念，团队也在这片田野开展了实践。据罗旭辉介绍，乡村层面主要聚焦几大指标，涵盖化肥农药减量、粪污资源化利用、农药包装废弃物回收转运体系、秸秆综合利用等。谈及这套模式未来如何持续，他提出两个基础前提：第一，水稻生态种植必须持续开展，网红流量依托稻田本体，田地不能改作他用；第二，村庄人居环境要长期维护，守住干净整洁底色。在此基础上，持续叠加体验业态，拉长游览周期，进一步把流量做稳。\n\n种植本土作物打造打卡点，核心逻辑是把生态治理、粮食生产、乡村发展三者结合，推动群众思想观念转变。据了解，福建省农科院现有一百余个科技示范基地，将推动更多示范点实现技术落地、群众认可，让乡村找到保护与发展的平衡点。（资环所通讯员：陈钟佃）","福建省农业科学院(2026-10-15)","2026-10-15T00:00:00Z","报道",62,{"impact":654,"substance":345,"depth":821,"authority":821,"freshness":615,"relevant":455,"comment":1607},"省级科研机构主导的生态种植与库区水质协同试验，有实地进展与理念转变细节，但属单点示范，公共影响有限，可作一般资讯而非每日精选。",[1609],{"name":1602,"url":1599},[210,1611,1612,1613,1614],"生态种植","库区水质","无废乡村","科技示范基地",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1618},{"candidates":1619,"agricultural_evidence":603},[1620,1624],{"code":152,"score":676,"supported":603,"title":1621,"abstract":1622,"tags":1623},[],[606],[],{"code":208,"score":455,"supported":581,"title":1625,"abstract":1626,"tags":1627},[],[],[210],[1629,1630],"福建省农科院 福清三星村 生态种植","东张水库 水稻 生态种植","福建省农科院福清三星村生态种植-5292","2026-10-19T00:07:42.151069Z",{"id":1634,"title":1635,"url":1636,"summary":1637,"summary_zh":11,"content":11,"source_name":969,"source_url":1636,"published_at":1638,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1639,"score_detail":1640,"sources":1642,"tags":1644,"primary_topic":1647,"secondary_topics":1648,"classification":1650,"search_phrases":1665,"slug":1668,"view_count":424,"doi":1669,"paper":1670,"created_at":1688},5229,"Integrating HYDRUS-2D and AquaCrop for simulating soil water–salt dynamics and crop growth under film-mulched drip irrigation","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.105017","Integrating HYDRUS-2D and AquaCrop for simulating soil water–salt dynamics and crop growth under film-mulched drip irrigation。Agricultural Systems","2026-10-17T00:00:00Z",82,{"impact":361,"substance":321,"depth":925,"authority":345,"freshness":583,"relevant":455,"comment":1641},"耦合HYDRUS-2D与AquaCrop模拟覆膜滴灌下水盐与作物生长，方法有创新、结论可靠，属农业信息化与节水灌溉领域值得精选的论文。",[1643],{"name":969,"url":1636},[1645,977,978,1646],"作物模型","水盐调控",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[1649],{"code":144,"slug":145,"name":146,"path":147,"parent_code":128},{"status":597,"locked":581,"version":4,"method":598,"evidence":1651},{"candidates":1652,"agricultural_evidence":603},[1653,1657,1661],{"code":152,"score":416,"supported":603,"title":1654,"abstract":1655,"tags":1656},[153],[153],[977],{"code":144,"score":524,"supported":603,"title":1658,"abstract":1659,"tags":1660},[145],[145],[],{"code":24,"score":455,"supported":581,"title":1662,"abstract":1663,"tags":1664},[],[],[1645],[1666,1667],"HYDRUS-2D AquaCrop 覆膜滴灌","土壤水盐 作物生长 模拟","HYDRUS-2DAquaCrop覆膜滴灌-5229","10.1016\u002Fj.agsy.2026.105017",{"doi":1669,"openalex_id":1671,"authors":1672,"venue":969,"cited_by_count":424,"oa_url":1636,"card":11,"direction":11,"ingested_from":642},"W7222801463",[1673,1675,1677,1679,1681,1684,1686],{"name":1674,"orcid":11},"Yunfeng Li",{"name":1676,"orcid":11},"Jun Wang",{"name":1678,"orcid":11},"Hexiang Zheng",{"name":1680,"orcid":11},"Delong Tian",{"name":1682,"orcid":1683},"Jie Ren","https:\u002F\u002Forcid.org\u002F0000-0001-8795-0372",{"name":1685,"orcid":11},"Hao Liu",{"name":1687,"orcid":11},"Jingsheng Sun","2026-10-18T23:30:04.248249Z",{"id":1690,"title":1691,"url":1692,"summary":1693,"summary_zh":1694,"content":11,"source_name":578,"source_url":1692,"published_at":1528,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":424,"score_detail":1695,"sources":1697,"tags":1699,"primary_topic":1703,"secondary_topics":1704,"classification":1705,"search_phrases":1716,"slug":1719,"view_count":424,"doi":1720,"paper":1721,"created_at":1741},5152,"Intersectional Barriers in Rural Water Governance: Gender, Educational Inequality, and Technocratic Exclusion in Grassroots Groundwater Management","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23410313","Participatory groundwater governance is premised on the assumption that community-based institutions facilitate equitable resource management and sustainable aquifer stewardship. However, formal participation does not necessarily translate into substantive decision-making authority, particularly for socially and educationally marginalized groups. This study examines gendered participation and potential epistemic exclusion in the implementation of the Atal Bhujal Yojana (Atal Jal) in Kachchh District, Gujarat, India. Drawing on administrative training records covering 2,206 capacity-building events and 49,551 participant attendances across 196 Gram Panchayats between 2021–2022 and 2024–2025, the study investigates variations in female participation across administrative locations and training modules. The analysis is informed by common-pool resource theory, feminist political ecology, intersectionality, and Agarwal’s framework of participatory exclusions. Reported findings indicate that female participants accounted for 25.11% of total recorded attendances, below the programme’s 33% institutional gender benchmark. Participation varied considerably across talukas, ranging from 18.71% in Anjar to 32.71% in Bhachau. Thematic disaggregation further indicates that female participation was relatively high in foundational sensitization and water-budgeting sessions but lower in technical and asset-intensive modules, including smart agriculture and domestic water efficiency. Field observations from 18 training sessions also suggest that physical attendance did not consistently translate into opportunities to operate monitoring equipment or engage directly with technical information. The findings identify a potential gap between institutional inclusion and substantive participation. The study argues that gender-responsive groundwater governance requires accessible pedagogical methods, meaningful technical responsibilities for women, context-sensitive training arrangements, and monitoring indicators that assess agency rather than attendance alone. These findings offer practical insights for strengthening inclusive and sustainable community-based resource governance.","参与式地下水治理的前提假设是，基于社区的制度能够促进公平的资源管理和可持续的含水层管护。然而，形式上的参与并不必然转化为实质性的决策权，对于社会和教育边缘化群体而言尤其如此。本研究考察印度古吉拉特邦卡奇县实施阿塔尔·布贾尔计划（Atal Bhujal Yojana，简称Atal Jal）过程中的性别化参与及潜在的认识论排斥。研究基于2021—2022年至2024—2025年间覆盖196个村务委员会（Gram Panchayats）、2，206场能力建设活动和49，551人次参与者出席的行政培训记录，考察女性参与在不同行政区域和培训模块间的差异。分析以公共池塘资源理论、女性主义政治生态学、交叉性理论以及阿加瓦尔（Agarwal）的参与性排斥框架为理论基础。研究结果显示，女性参与者占总记录出席人次的25.11%，低于该计划33%的制度性性别基准。各乡（taluka）之间的参与率差异显著，从安贾尔的18.71%到巴乔的32.71%不等。按主题分类进一步表明，女性参与在基础宣传和水资源预算课程中相对较高，但在技术和资产密集型模块（包括智慧农业和生活用水效率）中较低。来自18场培训课程的实地观察还表明，实际出席并未 consistently 转化为操作监测设备或直接接触技术信息的机会。研究结果揭示了制度性包容与实质性参与之间可能存在的差距。研究认为，促进性别敏感的地下水治理需要可及的教学方法、赋予女性有意义的技术职责、情境敏感的培训安排，以及评估能动性而非仅看出席情况的监测指标。这些发现为加强包容性和可持续的社区资源治理提供了实践启示。",{"impact":424,"substance":424,"depth":424,"authority":424,"freshness":424,"relevant":424,"comment":1696},"研究印度农村地下水治理中的性别与教育排斥，属社会治理议题，与三农信息化、智慧农业无直接关联。",[1698],{"name":578,"url":1692},[1700,1701,1702],"地下水治理","性别参与","社区治理",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1706},{"candidates":1707,"agricultural_evidence":603},[1708,1712],{"code":16,"score":615,"supported":603,"title":1709,"abstract":1710,"tags":1711},[],[588,1569],[],{"code":152,"score":676,"supported":603,"title":1713,"abstract":1714,"tags":1715},[],[857],[],[1717,1718],"Kachchh 地下水管理","地下水治理 性别参与 社区治理","Kachchh地下水管理-5152","10.5281\u002Fzenodo.23410313",{"doi":1720,"openalex_id":1722,"authors":1723,"venue":578,"cited_by_count":424,"oa_url":1692,"card":1736,"direction":810,"ingested_from":642},"W7222752970",[1724,1726,1728,1730,1732,1734],{"name":1725,"orcid":11},"Haresh Vaghela",{"name":1727,"orcid":11},"Dr. Chirag P. Patel",{"name":1729,"orcid":11},"Dr. Jignesh B. Tala",{"name":1731,"orcid":11},"Kumarsawan Shakya",{"name":1733,"orcid":11},"Harpalsinh Jadeja",{"name":1735,"orcid":11},"Dipti S. Kapuria",{"tldr":1737,"method":1738,"finding":1739,"direction":1258,"opportunity":1740},"研究印度地下水治理项目中女性参与培训的性别与教育不平等障碍。","分析2206场培训、49551人次参与记录及18场实地观察。","女性参与率25.11%低于33%基准，且多限于基础模块，技术参与不足。","可研究培训参与数据如何转化为性别敏感的治理效能评估指标。","2026-10-17T23:30:08.822091Z",{"id":1743,"title":1744,"url":1745,"summary":1746,"summary_zh":1747,"content":11,"source_name":1748,"source_url":1745,"published_at":1528,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1605,"score_detail":1749,"sources":1751,"tags":1753,"primary_topic":1758,"secondary_topics":1759,"classification":1760,"search_phrases":1775,"slug":1778,"view_count":424,"doi":1779,"paper":1780,"created_at":1790},5145,"GREEN ENTREPRENEURSHIP FOR POVERTY ALLEVIATION IN CLIMATE-VULNERABLE AREA OF BORNO STATE","https:\u002F\u002Fdoi.org\u002F10.56160\u002Fjaeess.12.2.3","Borno State, Northeast Nigeria, faces a complex nexus of climate vulnerability, poverty, and insurgency that undermines livelihoods and resilience. This study explores the potential of green entrepreneurship as a complementary strategy for poverty alleviation and climate adaptation. Drawing on six focus group discussions with farmers, traders, and artisans, and ten key‑informant interviews with experts, data were thematically analysed using NVivo 12. Findings reveal strong community interest in ventures such as solar irrigation, climate‑smart agriculture, waste recycling, and energy‑efficient technologies, but progress is constrained by finance gaps, inadequate technical skills, weak infrastructure, and fragmented policy. The study proposes a four‑pillar framework (finance, capacity, policy, and markets) that integrates community aspirations with expert recommendations. This framework emphasizes blended finance, context‑specific training, coordinated policy support, and market development as mutually reinforcing strategies. Green entrepreneurship, therefore, should be treated not as a stand‑alone solution but as part of a broader resilience pathway in fragile, climate‑vulnerable settings.","尼日利亚东北部的博尔诺州面临着气候脆弱性、贫困与叛乱交织的复杂困局，三者共同削弱了当地民众的生计与韧性。本研究探讨绿色创业作为减贫与气候适应补充策略的潜力。研究基于与农民、商贩和手工业者开展的六次焦点小组讨论，以及对专家的十次关键知情人访谈，采用NVivo 12对数据进行主题分析。研究发现，社区对太阳能灌溉、气候智慧型农业、废物回收和节能技术等创业活动表现出浓厚兴趣，但进展受到融资缺口、技术技能不足、基础设施薄弱和政策碎片化的制约。本研究提出一个四支柱框架（融资、能力、政策和市场），将社区诉求与专家建议相结合。该框架强调混合融资、因地制宜的培训、协调一致的政策支持和市场开发作为相互强化的策略。因此，绿色创业不应被视为孤立的解决方案，而应作为气候脆弱地区更广泛韧性路径的组成部分。","JOURNAL OF AGRICULTURAL ECONOMICS ENVIRONMENT AND SOCIAL SCIENCES",{"impact":173,"substance":361,"depth":602,"authority":416,"freshness":583,"relevant":455,"comment":1750},"聚焦尼日利亚博尔诺州气候脆弱区绿色创业减贫的质性研究，提出四支柱框架，方法规范但属区域案例，对国内三农信息化参考价值有限。",[1752],{"name":1748,"url":1745},[1122,1754,1755,1756,1757],"尼日利亚","绿色创业","减贫","博尔诺州",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1761},{"candidates":1762,"agricultural_evidence":603},[1763,1767,1771],{"code":152,"score":615,"supported":603,"title":1764,"abstract":1765,"tags":1766},[],[606,153],[],{"code":184,"score":400,"supported":603,"title":1768,"abstract":1769,"tags":1770},[],[1122],[1122],{"code":16,"score":676,"supported":603,"title":1772,"abstract":1773,"tags":1774},[],[1569],[],[1776,1777],"博尔诺州 绿色创业","尼日利亚 气候脆弱区 减贫","博尔诺州绿色创业-5145","10.56160\u002Fjaeess.12.2.3",{"doi":1779,"openalex_id":1781,"authors":1782,"venue":1748,"cited_by_count":424,"oa_url":11,"card":1785,"direction":810,"ingested_from":642},"W7222395646",[1783],{"name":1784,"orcid":11},"W M Bukar",{"tldr":1786,"method":1787,"finding":1788,"direction":1593,"opportunity":1789},"研究尼日利亚博尔诺州绿色创业扶贫与气候适应潜力。","6组焦点小组讨论与10位关键知情人访谈，NVivo 12主题分析。","社区对太阳能灌溉等有兴趣，但受资金、技能、基建和政策制约，提出四支柱框架。","可在气候脆弱冲突区量化绿色创业对减贫与韧性的因果效应，并试点混合融资机制。","2026-10-17T23:30:08.327914Z",{"id":1792,"title":1793,"url":1794,"summary":1795,"summary_zh":1796,"content":11,"source_name":1797,"source_url":1794,"published_at":1528,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":1338,"score_detail":1798,"sources":1800,"tags":1802,"primary_topic":1807,"secondary_topics":1808,"classification":1809,"search_phrases":1838,"slug":1841,"view_count":424,"doi":1842,"paper":1843,"created_at":1856},5139,"Association between digital agricultural technology promotion and farmers’ adoption of extreme climate adaptation technologies: evidence from chili pepper farmers in Guizhou Province, China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1914305","Adaptation technologies are important for reducing the risks associated with extreme climatic events, particularly in mountainous areas where complex topography can increase agricultural vulnerability. Digital Agricultural Technology Promotion (DATP) provides an increasingly important channel through which farmers access information related to climate adaptation technologies. However, empirical evidence on the association between DATP and farmers’ adoption of such technologies in mountainous areas remains limited. Using survey data from 846 chili pepper farmers in Guizhou Province, China, this study employs baseline regression, mediation analysis, moderation analysis, and heterogeneity analysis to examine the association between DATP and farmers’ adoption of extreme climate adaptation technologies. The results show that DATP is significantly and positively associated with both adoption degree and sustained adoption willingness. Mediation analysis identifies three potential pathways consistent with this association: broader information access channels, greater information trust, and stronger information application ability. Moderation analysis further shows that benefit and risk expectation confirmation significantly condition the association between DATP and adaptation behavior. Heterogeneity analysis indicates that the positive association is strongest for water resource management and biological control technologies and is relatively stronger among pure farmers, farmers with higher digital literacy, and large-scale chili farmers. These findings highlight the relevance of information access, information credibility, digital capabilities, and farmer heterogeneity in understanding digital approaches to climate adaptation in mountainous agricultural areas. The findings provide empirical evidence for developing differentiated digital strategies to support farmers’ climate adaptation.","适应技术对于降低极端气候事件相关风险具有重要意义，在复杂地形加剧农业脆弱性的山区尤为如此。数字农业技术推广（Digital Agricultural Technology Promotion，DATP）为农户获取气候适应技术相关信息提供了日益重要的渠道。然而，关于DATP与山区农户采纳此类技术之间关联的实证证据仍然有限。本研究利用来自中国贵州省846户辣椒种植户的调查数据，采用基准回归、中介分析、调节分析和异质性分析，考察DATP与农户极端气候适应技术采纳之间的关联。结果表明，DATP与采纳程度和持续采纳意愿均呈显著正相关。中介分析识别出与该关联相符的三条潜在路径：更广泛的信息获取渠道、更高的信息信任以及更强的信息应用能力。调节分析进一步表明，收益与风险预期确认显著调节DATP与适应行为之间的关联。异质性分析表明，该正向关联在水资源管理和生物防治技术中最为显著，且在纯农户、数字素养较高的农户和规模化辣椒种植户中相对更强。上述发现凸显了信息获取、信息可信度、数字能力和农户异质性在理解山区农业气候适应数字化路径中的相关性。研究结果为制定差异化数字策略以支持农户气候适应提供了实证依据。","Frontiers in Sustainable Food Systems",{"impact":654,"substance":1200,"depth":1038,"authority":821,"freshness":583,"relevant":455,"comment":1799},"基于846户贵州椒农调查的实证研究，揭示数字农技推广与气候适应技术采纳的关联机制，数据扎实、结论有政策参考价值，值得入选。",[1801],{"name":1797,"url":1794},[1803,1804,1122,1805,1806],"数字农业","农户采纳","贵州农业","辣椒种植",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[],{"status":597,"locked":581,"version":4,"method":598,"evidence":1810},{"candidates":1811,"agricultural_evidence":603},[1812,1816,1820,1824,1829,1834],{"code":152,"score":615,"supported":603,"title":1813,"abstract":1814,"tags":1815},[],[857,1285],[],{"code":184,"score":400,"supported":603,"title":1817,"abstract":1818,"tags":1819},[],[1122],[1122],{"code":16,"score":400,"supported":603,"title":1821,"abstract":1822,"tags":1823},[],[1803],[1803],{"code":279,"score":676,"supported":603,"title":1825,"abstract":1826,"tags":1828},[],[1827],"辣椒",[],{"code":104,"score":676,"supported":603,"title":1830,"abstract":1831,"tags":1833},[],[1832],"生物防治",[],{"code":496,"score":455,"supported":581,"title":1835,"abstract":1836,"tags":1837},[],[],[1804],[1839,1840],"贵州 辣椒 农户 数字农业","数字农业技术推广 气候适应","贵州辣椒农户数字农业-5139","10.3389\u002Ffsufs.2026.1914305",{"doi":1842,"openalex_id":1844,"authors":1845,"venue":1797,"cited_by_count":424,"oa_url":1850,"card":1851,"direction":1258,"ingested_from":642},"W7222443624",[1846,1848],{"name":1847,"orcid":11},"Hongjuan Gao",{"name":1849,"orcid":11},"Han Huiqing","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1914305\u002Fpdf",{"tldr":1852,"method":1853,"finding":1854,"direction":1258,"opportunity":1855},"基于贵州846户椒农调查，分析数字农业技术推广与农户极端气候适应技术采纳的关联。","贵州椒农问卷数据，基线回归、中介、调节与异质性分析。","数字推广显著正向关联采纳程度与持续意愿，信息获取、信任、应用能力为中介路径。","可延伸研究数字推广对不同作物、不同地形区农户气候适应行为的差异化机制与长期效果。","2026-10-17T23:30:06.590477Z",{"id":1858,"title":1859,"url":1860,"summary":1861,"summary_zh":1862,"content":11,"source_name":1863,"source_url":1860,"published_at":1603,"category":580,"cover_url":11,"hotness":385,"is_selected":581,"score":908,"score_detail":1864,"sources":1866,"tags":1868,"primary_topic":1872,"secondary_topics":1873,"classification":1875,"search_phrases":1908,"slug":1911,"view_count":424,"doi":1912,"paper":1913,"created_at":1936},5077,"A Trust-Boundary Reference Architecture for Secure Cyber-Physical Agriculture: Design and Software-Based Proof-of-Concept for Smart Irrigation","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fs26206545","Smart irrigation is an operational technology (OT) problem as much as an Internet of Things (IoT) one: software decisions act directly on valves, pumps, pressure and water delivery, so a spoofed reading or a replayed command has physical consequences. This paper presents a technology-neutral reference architecture that makes those consequences controllable. It is organised into seven functional layers and three cross-cutting planes, six trust-boundary classes that fix which properties must be re-established at each crossing, and an auditable crown-asset inventory with an explicit trust-level rubric. Two governing execution principles enforce this structure: local safety authority, which keeps final actuation permission at the field gateway, remote terminal unit (RTU) or programmable logic controller (PLC), and feedback-aware execution, which treats a command as complete only when independent physical feedback confirms it. Building on process-aware and safety-supervision ideas from industrial control, the architecture makes physical confirmation a mandatory completion condition at the local enforcement point, which catches a fully authorised command that is nonetheless physically unsafe, a failure mode that authorisation checks alone cannot detect. These properties are examined through a deterministic, openly available software proof-of-concept that verifies the design against its own acceptance criteria; it is not a field validation. The software executes six attack and failure scenarios plus one nominal-operation control against an intentionally unsecured negative control and a secure controller, under identical, controlled conditions: the negative control is compromised in all 6 attack scenarios and the secure controller in 0\u002F6, with 0\u002F1 false positives on legitimate operation. Analytically, the design costs 21 bytes and 50–60% additional Long Range Wide Area Network (LoRaWAN) time-on-air per record, and 78% of single-step perturbations of the trust-scoring inputs leave asset classification unchanged: the actuator class (A2) is completely stable, and the gateway\u002FRTU\u002FPLC class (A3) is stable under 6 of 7 admissible perturbations (86%), changing only when its credential\u002Fupdate authority reaches the trust-anchor threshold. A sensor-level mapping from sampling rate, measurement drift and physical fault modes to the edge-verification controls they dictate, provisions for secure time, counter recovery and the choice between fail-closed and fail-open safe states, an illustrative hypothetical worked deployment example, and a transfer of the model to greenhouse, fertigation, livestock-watering and cold-chain settings show how the architecture could be applied in practice.","智能灌溉既是一个物联网(IoT)问题，也是一个运营技术(OT)问题：软件决策直接作用于阀门、水泵、压力和水流输送，因此被欺骗的读数或被重放的命令会产生物理后果。本文提出了一种技术中立的参考架构，使这些后果可控。该架构由七个功能层和三个横切面、六类信任边界(规定每次跨越边界时必须重新建立哪些属性)，以及一份可审计的核心资产清单(配有明确的信任等级评定标准)组成。两条主导性执行原则保障了这一结构：本地安全授权，即将最终执行许可保留在田间网关、远程终端单元(RTU)或可编程逻辑控制器(PLC)处；以及反馈感知执行，即只有当独立的物理反馈予以确认时，才将命令视为完成。该架构以工业控制中的过程感知和安全监督思想为基础，将物理确认设为本地执行点的强制性完成条件，从而能够捕获完全获得授权但在物理上仍不安全的命令——这是仅靠授权检查无法检测到的失效模式。这些特性通过一个确定性、公开可用的软件概念验证进行了检验，该验证依据其自身的验收标准对设计进行评估；这不是现场验证。该软件在相同且受控的条件下，针对一个故意不设防护的阴性对照和一个安全控制器，执行了六种攻击与故障场景以及一项标称运行对照：阴性对照在所有6种攻击场景中均被攻破，而安全控制器为0\u002F6，对合法运行的误报为0\u002F1。分析表明，该设计每条记录额外增加21字节和50–60%的LoRaWAN(LoRaWAN)空中时间，且信任评分输入的78%单步扰动不会改变资产分类：执行器类(A2)完全稳定，网关\u002FRTU\u002FPLC类(A3)在7种可允许扰动中有6种保持稳定(86%)，仅当其凭证\u002F更新权限达到信任锚阈值时才会改变。还提出了从采样率、测量漂移和物理故障模式到其所决定的边缘验证控制的传感器级映射，以及安全时间、计数器恢复和故障关闭与故障打开安全状态之间选择的保障措施。","Sensors",{"impact":416,"substance":321,"depth":361,"authority":345,"freshness":583,"relevant":455,"comment":1865},"面向智慧灌溉的信任边界参考架构论文，方法新颖、含软件验证与量化开销数据，但属概念验证、非田间实证，产业影响有限，可作为技术前沿精选。",[1867],{"name":1863,"url":1860},[1869,588,914,1870,1871],"数字乡村","智能灌溉","网络安全",{"code":152,"slug":153,"name":154,"path":155,"parent_code":128},[1874],{"code":48,"slug":49,"name":50,"path":51,"parent_code":7},{"status":597,"locked":581,"version":4,"method":598,"evidence":1876},{"candidates":1877,"agricultural_evidence":603},[1878,1882,1886,1891,1895,1900,1904],{"code":152,"score":602,"supported":603,"title":1879,"abstract":1880,"tags":1881},[153],[606,153],[1870],{"code":48,"score":385,"supported":603,"title":1883,"abstract":1884,"tags":1885},[],[747,748,749],[914],{"code":324,"score":676,"supported":603,"title":1887,"abstract":1888,"tags":1890},[],[1889],"greenhouse",[],{"code":332,"score":676,"supported":603,"title":1892,"abstract":1893,"tags":1894},[],[333],[],{"code":96,"score":676,"supported":603,"title":1896,"abstract":1897,"tags":1899},[],[1898],"fertigation",[],{"code":56,"score":69,"supported":581,"title":1901,"abstract":1902,"tags":1903},[],[],[1869,1871],{"code":16,"score":455,"supported":581,"title":1905,"abstract":1906,"tags":1907},[],[],[588],[1909,1910],"智能灌溉 信任边界 参考架构","LoRaWAN 灌溉 安全","智能灌溉信任边界参考架构-5077","10.3390\u002Fs26206545",{"doi":1912,"openalex_id":1914,"authors":1915,"venue":1863,"cited_by_count":424,"oa_url":1860,"card":1931,"direction":810,"ingested_from":642},"W7222165876",[1916,1919,1922,1925,1928],{"name":1917,"orcid":1918},"Alvertos Ioannis Mourikis","https:\u002F\u002Forcid.org\u002F0009-0009-2386-2803",{"name":1920,"orcid":1921},"Iosif Polenakis","https:\u002F\u002Forcid.org\u002F0000-0002-6427-5519",{"name":1923,"orcid":1924},"Christos Sarantidis","https:\u002F\u002Forcid.org\u002F0009-0003-9486-8483",{"name":1926,"orcid":1927},"Romanos Kalamatianos","https:\u002F\u002Forcid.org\u002F0009-0000-6939-5424",{"name":1929,"orcid":1930},"Ioannis Karydis","https:\u002F\u002Forcid.org\u002F0000-0002-9470-2729",{"tldr":1932,"method":1933,"finding":1934,"direction":810,"opportunity":1935},"提出面向智慧灌溉的安全参考架构，用软件验证可抵御重放与欺骗攻击。","七层三面参考架构、信任边界分类、确定性软件概念验证与LoRaWAN开销分析。","安全控制器在6种攻击场景下0次被攻破，负控制全部被攻破，且误报率为0。","可研究边缘验证控制与采样率、漂移、故障模式的映射，以及安全时间与失效安全状态选择。","2026-10-16T23:30:08.098924Z",{"technologies":1938,"keywords":1967},[1939,1941,1943,1944,1945,1946,1947,1948,1949,1951,1952,1954,1956,1957,1959,1961,1963,1965],{"name":589,"count":1940},38,{"name":724,"count":1942},24,{"name":826,"count":1200},{"name":1110,"count":361},{"name":747,"count":602},{"name":914,"count":821},{"name":1274,"count":173},{"name":741,"count":752},{"name":1950,"count":408},"GIS",{"name":851,"count":408},{"name":1953,"count":676},"传感器",{"name":1955,"count":69},"农业机器人",{"name":755,"count":69},{"name":1958,"count":69},"无人机遥感",{"name":1960,"count":455},"农业传感器",{"name":1962,"count":455},"多源遥感",{"name":1964,"count":455},"大模型",{"name":1966,"count":455},"联邦学习",[1968,1969,1971,1972,1974,1975,1976,1977,1979,1980,1982,1983],{"name":588,"count":819},{"name":1870,"count":1970},23,{"name":726,"count":1200},{"name":1973,"count":654},"水资源管理",{"name":977,"count":602},{"name":1140,"count":821},{"name":916,"count":821},{"name":1978,"count":524},"土壤墒情",{"name":915,"count":385},{"name":1981,"count":583},"农业水资源",{"name":1275,"count":173},{"name":1803,"count":752}]