[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"daily-2026-09-28":3},{"date":4,"title":5,"highlights":6,"content":12,"items":13},"2026-09-28","农业农村日报 · 2026-09-28",[7,8,9,10,11],"CCTV《新闻联播》【新思想引领新征程】丰收的底气——'十五五'首个中央一号文件部署与全年粮食丰收基础","以农业科技创新支撑农业强国建设——人民日报理论版发表中国农业科学院署名文章","AquaCrop-derived surrogate model for crop yield response to monthly irrigation deficit","Assessment and projection of mangrove blue carbon sink along the Guangdong coastline: integrating remote sensing and modeling techniques","A decision-making method for light regulation of cucumber seedlings considering changes of temperature and CO2 in protected agriculture","---\n*本日报内容整理自公开来源，学术论文元数据来自 OpenAlex 等开放接口；外文资料已译为中文，翻译与摘要仅供参考；引用与决策请以官方原文与正式出版物为准。*",[14,48,72,121,168,210,269,312,351,388,426,460,491,532,558],{"id":15,"title":7,"url":16,"summary":17,"summary_zh":18,"content":19,"source_name":20,"source_url":18,"published_at":21,"category":22,"cover_url":18,"hotness":23,"is_selected":24,"score":25,"score_detail":26,"sources":34,"tags":36,"search_phrases":42,"slug":45,"view_count":46,"doi":18,"paper":18,"created_at":47},3637,"https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fspnk\u002Fmtsp\u002F71668ba989604e8c9cd861f971da2858.htm","9月23日CCTV《新闻联播》'新思想引领新征程'专栏以'丰收的底气'为主题报道：2026年中国农民丰收节全国主场活动在湖北襄阳枣阳东郊村举办；秋粮是全年粮食生产的大头，占播种面积的四分之三；今年夏粮首战告捷产量首次突破3000亿斤，早稻连续6年稳定在560亿斤以上，秋粮也丰收在望；全国建成的高标准农田已覆盖一半多耕地；移动式烘干机等应急救灾农机具加快研制并大规模应用，粮食烘干能力从2021年的34.7%快速提升到现在的68.1%。",null,"央视网消息（新闻联播）：在第九个“中国农民丰收节”到来之际，习近平总书记向全国广大农民和工作在“三农”战线上的同志们致以节日祝贺和诚挚问候，强调扎实推进乡村全面振兴，努力让广大农民生活更加幸福美好。总书记的勉励和嘱托引发热烈反响。大家表示，将辛勤劳作，不懈奋斗，扎实推进乡村全面振兴。\n\n2026年中国农民丰收节全国主场活动今天（9月23日）在湖北襄阳枣阳东郊村举办，庆丰收联欢、农业成果展等丰富多彩的活动，生动展现农业发展的新成效与乡村振兴的新气象。\n\n眼下，我国秋粮陆续进入成熟期。秋粮是全年粮食生产的大头，占播种面积的四分之三。就在今年夏播时，习近平总书记来到山东德州，了解玉米种植等情况。他强调，要积极推广先进适用品种、技术、装备，稳步提高单产和效益，力争全年粮食丰收。\n\n习近平总书记始终把粮食安全作为治国理政的头等大事，确立了“以我为主、立足国内、确保产能、适度进口、科技支撑”的国家粮食安全战略。多年来，总书记根据形势发展变化作出一系列重大决策，推动粮食安全战略不断深化。面对持续增加的粮食需求和复杂严峻的国际形势，他强调，宁可多生产、多储备一些，多了的压力和少了的压力不可同日而语。他要求，必须全方位夯实粮食安全根基，既要抓物质基础，强化藏粮于地、藏粮于技，也要抓机制保障。\n\n今年，我国分类分区高质量推进高标准农田建设。这几天，广东惠东县晚稻长势喜人，而一个多月前晚稻刚栽插完，台风“红霞”在当地登陆，仅仅半天，洪水就通过田间灌排沟渠排了出去，30多万亩晚稻基本没受影响。目前，全国建成的高标准农田已覆盖一半多耕地，有力支撑了农业受灾面积快速下降。年均农作物受灾面积占播种面积比例，由十多年前的16.6%下降到现在的7%左右。\n\n耕地质量提升的同时，集成增产技术也在持续释放增产潜力。眼下，新疆伊犁河谷百万亩玉米正在测产，在这里，百万亩级连片玉米单产水平居全国首位，今年产量有望创新高。\n\n今年，为应对突发频发的极端天气，移动式烘干机等应急救灾农机具加快研制并大规模应用，我国粮食烘干能力从2021年的34.7%，快速提升到现在的68.1%。\n\n仓廪实，天下安。如今，我国粮食产量已经连续两年稳定在1.4万亿斤以上。今年，夏粮首战告捷，产量首次突破3000亿斤，早稻连续6年稳定在560亿斤以上，秋粮也丰收在望。","CCTV-1《新闻联播》（中国农业科学院转载）2026-09-23","2026-09-23T00:00:00Z","报道",10,true,87,{"impact":27,"substance":28,"depth":29,"authority":30,"freshness":31,"relevant":32,"comment":33},28,22,17,15,5,1,"央媒权威报道，含高标准农田覆盖率、受灾比例下降、烘干能力提升等新数据，政策与产业价值突出，值得进入每日精选。",[35],{"name":20,"url":16},[37,38,39,40,41],"高标准农田","粮食安全","农业防灾减灾","秋粮丰收","粮食烘干",[43,44],"中央一号文件 粮食丰收","移动式烘干机 粮食烘干能力","中央一号文件粮食丰收-3637",0,"2026-09-28T00:02:58.608417Z",{"id":49,"title":8,"url":50,"summary":51,"summary_zh":18,"content":52,"source_name":53,"source_url":18,"published_at":21,"category":22,"cover_url":18,"hotness":23,"is_selected":24,"score":54,"score_detail":55,"sources":59,"tags":61,"search_phrases":67,"slug":70,"view_count":46,"doi":18,"paper":18,"created_at":71},3636,"https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Ftpxw\u002F76f0e0b59253478d977bb8ed2153f0e7.htm","9月23日第九个中国农民丰收节当天，人民日报理论版'深入学习贯彻习近平新时代中国特色社会主义思想'专栏发表中国农业科学院署名文章《以科技创新支撑农业强国建设》。文章指出：'十五五'规划纲要设置'加快农业农村现代化 扎实推进乡村全面振兴'专篇，要求'强化农业科技和装备支撑'。要把党中央决策部署落到实处，要锚定高水平农业科技自立自强目标，加快提升农业科技创新体系整体效能。我国人口数量占世界比重约17%但耕地资源仅占9%，人均耕地面积不足世界平均水平的40%，丘陵山区占1\u002F3以上，淡水资源只占6%。","习近平总书记指出：“要完善符合科技创新规律的资源配置方式”。当前，随着新一轮科技革命和产业变革加速突破，人工智能、生物制造、新材料、新能源等领域的重大科技成果不断涌现，向农业农村各领域渗透融合，农业科技创新体系整体效能进一步提升，正展现出更强劲的动能。加快推动农业科技创新，必须充分认识和遵循农业科技创新规律，准确把握农业科技的发展趋势和时代要求。\n\n农业科技创新具有研究周期长、系统复杂性强、区域差异突出等特征。农业科技创新以动植物、微生物等生命体为主要研究对象，是围绕生命体开展的多学科交叉融合研究。比如，水稻新品种培育一般需要10年左右，肉牛新品种培育需要40年左右。这决定了农业科技创新必须遵循生命节律、遗传规律、气候地理等自然规律。同时，农业生产是一个开放的复杂系统，作物种植涉及土、肥、水、种、保、管、工等各个方面，畜禽养殖包括种、料、繁、舍、病、管等诸多环节，各方面各环节相互影响、相互制约，具有很强的系统性。农业科研成果应用受气候类型、水土条件、耕作制度等影响十分显著，“橘生淮南则为橘，生于淮北则为枳”就是生动写照。因此，推进农业科技创新既要坚持长期连续投入，还要注重全链条、多区域系统布局。\n\n农业科技创新必须切实保障粮食和重要农产品稳定安全供给。农业科技创新直接关系老百姓的“米袋子”“菜篮子”，是保障人民基本生活需求、保障国家粮食安全的重要支撑。特别是底盘技术、核心种源、关键农机装备等一旦受制于人，将给国家安全带来重大挑战。农业基础研究、关键核心技术攻关等科研活动投入大、周期长、风险高，直接经济效益不明显，但一个突破性品种可能惠及整个产业，一项绿色技术推广可能改善整个区域生态环境，社会收益巨大，具有显著的正外部性和公益属性。因此，在充分发挥市场在创新资源配置中决定性作用的同时，要更好发挥政府作用，确保聚焦国家战略需求，提供有力有效的科技公共产品。\n\n农业科技创新正由单项技术突破加快转向体系化、全链条协同创新。当前，以基因编辑、生物合成为代表的前沿生物技术不断突破，以人工智能、区块链等为代表的新一代信息技术加速演进，推动农业科技创新对象由传统生命体向“生命体+数据+模型”复合系统拓展，带动农业科技创新模式向数据驱动、智能赋能、场景验证一体化转型，数据要素和智能算法正深度嵌入研发、试验、推广全过程。同时，大面积单产提升需求更加迫切，推动农业科技创新由提供单项产品或技术加快转向因地制宜提供定制化、集成化、场景化的系统解决方案。比如，东北粮食主产区需要集成良种、密植、农机、水肥一体化的增产增效技术方案，西南丘陵山区需要轻简适用、机艺结合、抗灾稳产的技术方案。因此，必须加强有组织科研，加强全产业链攻关，加快推动农业科技创新从“单兵突进”向“体系作战”转变。","中国农业科学院（人民日报理论版）2026-09-23",84,{"impact":56,"substance":57,"depth":29,"authority":30,"freshness":31,"relevant":32,"comment":58},27,20,"国家级科研机构在央媒理论版系统阐述农业科技创新规律与体系化转型方向，权威性与政策信号价值突出，但属理论阐释而非新增政策条款，时效性一般。",[60],{"name":53,"url":50},[62,38,63,64,65,66],"智慧农业","生物育种","农业强国","农业科技创新","有组织科研",[68,69],"中国农业科学院 农业科技创新","人民日报理论版 农业强国","中国农业科学院农业科技创新-3636","2026-09-28T00:02:58.534635Z",{"id":73,"title":9,"url":74,"summary":75,"summary_zh":76,"content":18,"source_name":77,"source_url":74,"published_at":78,"category":79,"cover_url":18,"hotness":23,"is_selected":24,"score":80,"score_detail":81,"sources":87,"tags":89,"search_phrases":94,"slug":97,"view_count":46,"doi":98,"paper":99,"created_at":120},3605,"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104995","Context: The Upper Yellow River Basin faces acute water competition between cascade hydropower operations and large irrigation districts. Traditional multi-objective reservoir operation leads to distorted energy-food benefit trade-offs from oversimplified linear representation of agricultural objectives, while process-based crop models are infeasible for direct embedding into reservoir operation frameworks requiring long-sequence iterative optimization due to excessive computational cost. Objective: This study aims to develop an AquaCrop-derived and computationally efficient agricultural surrogate model that accurately maps monthly water deficits to nonlinear crop yield responses, thereby providing a refined agricultural loss function for reservoir operation frameworks. Methods: Focusing on spring wheat, spring maize, and sunflower in the Hetao Irrigation District, a locally calibrated AquaCrop model was applied to simulate yield responses under full-gradient deficit irrigation scenarios. On this basis, we developed high-order polynomial ridge regression surrogate models driven by growing-season Standardized Precipitation Evapotranspiration Index and monthly irrigation deficit ratios. Finally, the model performance was validated using an offline dual validation framework covering generalization performance and decision consistency, and critical irrigation months and yield-loss thresholds were further quantified. Results and conclusions: The surrogate model achieved a global coefficient of determination above 0.93 across dual held-out test sets, with median yield-loss deviations from the sample-best AquaCrop scheme of less than 2%, and outperformed benchmark irrigation allocation schemes. However, prediction accuracy declined substantially under severe water stress, especially for spring maize. Furthermore, computational efficiency was improved by over five orders of magnitude compared with the process-based model. Under the locally parameterized AquaCrop framework, this study identified April as the most irrigation-sensitive month for spring wheat, May for spring maize, and June for sunflower. Compared with interval median scheme, the surrogate model-recommended scheme delayed physically feasible yield-loss thresholds by 6.7 to 14.7 percentage points, with bootstrap 95% confidence intervals entirely above zero. Significance: This study highlights that the AquaCrop-derived surrogate model bridges the gap between crop modeling and reservoir operation by mapping monthly water-allocation decisions to nonlinear crop yield responses. Aligned with the monthly decision cycle of reservoir operation and with ultra-high computational efficiency, this model is expected to serve as a crucial methodological component for future multi-objective reservoir operation frameworks.","背景：黄河上游流域面临梯级水电运行与大型灌区之间尖锐的水资源竞争。传统多目标水库调度因农业目标的过度简化线性表征，导致能量-粮食效益权衡关系失真；而基于过程的作物模型由于计算成本过高，无法直接嵌入需要长序列迭代优化的水库调度框架。目标：本研究旨在开发一种源自AquaCrop且计算高效的农业代理模型，能够准确刻画月度水分亏缺与作物产量非线性响应之间的映射关系，从而为水库调度框架提供精细化的农业损失函数。方法：以河套灌区的春小麦、春玉米和向日葵为研究对象，采用经本地校准的AquaCrop模型模拟全梯度亏缺灌溉情景下的产量响应。在此基础上，构建了以生长季标准化降水蒸散指数和月度灌溉亏缺比为驱动因子的高阶多项式岭回归代理模型。最后，采用涵盖泛化性能和决策一致性的离线双重验证框架对模型性能进行验证，并进一步量化了关键灌溉月份和产量损失阈值。结果与结论：代理模型在两个独立测试集上的全局决定系数均超过0.93，与样本最优AquaCrop方案相比，产量损失偏差中位数低于2%，且优于基准灌溉配水方案。然而，在重度水分胁迫条件下，预测精度显著下降，春玉米尤为明显。此外，与基于过程的模型相比，计算效率提升了五个数量级以上。在本地参数化的AquaCrop框架下，本研究确定春小麦对灌溉最敏感的月份为4月，春玉米为5月，向日葵为6月。与区间中值方案相比，代理模型推荐方案将物理可行的产量损失阈值推迟了6.7至14.7个百分点，Bootstrap 95%置信区间完全位于零以上。意义：本研究突出表明，源自AquaCrop的代理模型通过映射……弥合了作物建模与水库调度之间的差距。","Agricultural Systems","2026-09-26T00:00:00Z","论文",82,{"impact":82,"substance":83,"depth":82,"authority":84,"freshness":85,"relevant":32,"comment":86},18,23,14,9,"将AquaCrop过程模型转化为高效代理模型，为水库调度提供非线性农业损失函数，方法新颖、验证扎实，对灌区水资源协同管理有实用价值。",[88],{"name":77,"url":74},[62,90,91,92,93],"农业人工智能","作物模型","节水灌溉","河套灌区",[95,96],"河套灌区 春小麦 灌溉亏缺","AquaCrop 代理模型 产量响应","河套灌区春小麦灌溉亏缺-3605","10.1016\u002Fj.agsy.2026.104995",{"doi":98,"openalex_id":100,"authors":101,"venue":77,"cited_by_count":46,"oa_url":74,"card":113,"direction":117,"ingested_from":119},"W7214449839",[102,104,107,109,111],{"name":103,"orcid":18},"任泽岭",{"name":105,"orcid":106},"Binquan Li","https:\u002F\u002Forcid.org\u002F0000-0002-9958-0396",{"name":108,"orcid":18},"Jing Liu",{"name":110,"orcid":18},"Kuang Li",{"name":112,"orcid":18},"Zhongmin Liang",{"tldr":114,"method":115,"finding":116,"direction":117,"opportunity":118},"构建AquaCrop衍生的代理模型，快速映射月度灌溉亏缺与作物产量的非线性响应。","局部校准AquaCrop模拟亏缺灌溉，用SPEI与亏缺比驱动高阶多项式岭回归代理","代理模型R²>0.93、计算效率提升五个数量级，但重旱下春玉米精度明显下降。","农业人工智能与决策模型","可探索极端干旱下代理模型精度衰减的校正方法，并耦合水库调度实现能量-粮食协同优化。","openalex","2026-09-27T23:30:06.912579Z",{"id":122,"title":10,"url":123,"summary":124,"summary_zh":125,"content":18,"source_name":126,"source_url":123,"published_at":127,"category":79,"cover_url":18,"hotness":23,"is_selected":128,"score":129,"score_detail":130,"sources":134,"tags":136,"search_phrases":142,"slug":145,"view_count":46,"doi":146,"paper":147,"created_at":167},3622,"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecolind.2026.115559","Mangrove ecosystems along the Guangdong coastline serve as a vital blue carbon sink, yet their carbon sequestration potential under changing climatic conditions requires rigorous assessment and forward-looking evaluation. This study develops an integrated framework combining remote sensing techniques and spatial modeling approaches to quantify historical changes and project future trajectories of mangrove blue carbon stocks in Guangdong Province, China. Time-series satellite imagery was used to quantify changes in mangrove extent and associated carbon storage over the period 1994 to 2024. Field-validated sediment core data, coupled with the InVEST and CA-Markov models, were utilized to assess historical carbon storage and forecast future challenges along the coastline. Our results reveal substantial spatial variability in mangrove carbon storage across Guangdong. A non-significant increase in mangrove area was observed during the first decade of the study period (1994–2004). In contrast, a significant area expansion of 10.71% occurred between 2014 and 2024, with projections indicating a further increase of 19.45% by 2034. The eastern coast of Guangdong exhibited greater potential for mangrove expansion than the western coast. Based on the projected mangrove extent and the adopted carbon-density framework, the InVEST model estimated a potential 24.62% increase in mangrove carbon storage by 2034 relative to 2024. By explicitly integrating spatiotemporal remote sensing analysis with predictive land-use and carbon storage modeling, this study advances a scalable and transferable framework for assessing mangrove blue carbon dynamics under climate and development pressures. The findings provide critical evidence to inform adaptive coastal management, strengthen Guangdong's carbon neutrality goals, and support nature-based solutions for climate mitigation. Overall, this integrated approach provides a robust scientific basis for coastal spatial planning and offers actionable insights for conserving and enhancing mangrove blue carbon resources along this ecologically and economically important coastline.","广东沿海的红树林生态系统是重要的蓝碳汇，但其在气候变化条件下的碳封存潜力亟需严谨评估与前瞻性预测。本研究构建了一个集成遥感技术与空间建模方法的框架，用以量化广东省红树林蓝碳储量的历史变化并预测其未来演变轨迹。利用时间序列卫星影像量化了1994年至2024年间红树林面积及相关碳储量的变化。结合实地验证的沉积柱数据，并运用InVEST模型和CA-Markov模型，评估了历史碳储量并预测了沿海地区未来面临的挑战。结果表明，广东红树林碳储量存在显著的空间异质性。在研究期的第一个十年（1994—2004年），红树林面积呈非显著性增加。相比之下，2014年至2024年间出现了10.71%的显著面积扩张，预测表明到2034年将进一步增加19.45%。广东东岸的红树林扩张潜力大于西岸。基于预测的红树林面积和所采用的碳密度框架，InVEST模型估算到2034年红树林碳储量较2024年可能增加24.62%。通过明确整合时空遥感分析与土地利用及碳储量预测建模，本研究提出了一个可扩展、可迁移的框架，用于评估气候与发展压力下红树林蓝碳动态。研究结果为适应性海岸管理提供了关键证据，有助于强化广东的碳中和目标，并支持基于自然的气候减缓方案。总体而言，这一集成方法为海岸空间规划提供了坚实的科学依据，并为保护和提升这一具有重要生态和经济价值海岸线的红树林蓝碳资源提供了可操作的见解。","Ecological Indicators","2026-09-25T00:00:00Z",false,81,{"impact":82,"substance":28,"depth":131,"authority":84,"freshness":132,"relevant":32,"comment":133},19,8,"融合遥感与InVEST\u002FCA-Markov模型评估并预测广东红树林蓝碳储量，方法可迁移、数据翔实，对沿海生态管理与碳中和工作有参考价值。",[135],{"name":126,"url":123},[137,138,139,140,141],"遥感监测","碳汇核算","蓝碳","红树林","海岸带管理",[143,144],"广东 红树林 蓝碳","InVEST CA-Markov 碳储量","广东红树林蓝碳-3622","10.1016\u002Fj.ecolind.2026.115559",{"doi":146,"openalex_id":148,"authors":149,"venue":126,"cited_by_count":46,"oa_url":160,"card":161,"direction":165,"ingested_from":119},"W7214279727",[150,153,156,158],{"name":151,"orcid":152},"Hafiz Hassan Javed","https:\u002F\u002Forcid.org\u002F0000-0003-0776-8701",{"name":154,"orcid":155},"You‐Shao Wang","https:\u002F\u002Forcid.org\u002F0000-0001-9565-2666",{"name":157,"orcid":18},"Hao Cheng",{"name":159,"orcid":18},"ABD Ullah","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1470160X26009611\u002Fpdf",{"tldr":162,"method":163,"finding":164,"direction":165,"opportunity":166},"融合遥感与模型评估并预测广东红树林蓝碳储量的历史变化与未来趋势。","时间序列卫星影像、沉积柱数据、InVEST与CA-Markov模型。","2014-2024年红树林面积增10.71%，2034年碳储量或较2024年增24.62%，东岸潜力","农业遥感与作物表型","可延伸至多气候情景下红树林碳汇预测及与碳交易、海岸带规划耦合研究。","2026-09-27T23:30:46.163566Z",{"id":169,"title":11,"url":170,"summary":171,"summary_zh":172,"content":18,"source_name":173,"source_url":170,"published_at":78,"category":79,"cover_url":18,"hotness":23,"is_selected":128,"score":129,"score_detail":174,"sources":176,"tags":178,"search_phrases":182,"slug":185,"view_count":46,"doi":186,"paper":187,"created_at":209},3606,"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biosystemseng.2026.104601","Light serves as the primary energy source for photosynthesis and significantly influences plant morphology and biomass accumulation. In protected agricultural systems, light environment parameters (intensity and spectral quality) critically determine crop productivity. A data-driven framework for light optimisation in cucumber seedlings was developed. First, an artificial neural network was established to predict net photosynthetic rate using empirical data spanning diverse environmental regimes. Then, to jointly maximise photosynthetic efficiency and minimise energy consumption, two key innovations were implemented. The U-chord method was employed to derive target light intensities, and a hybrid cubic spline-global Newton algorithm was designed for spectral quality optimisation. These subsystems were fused through support vector regression to construct adaptive decision-making models for real-time light management. The results showed that the artificial neural network model achieved exceptional Pn prediction accuracy with coefficient of determination > 0.95, root mean square error \u003C 1.6 μmol m −2 s −1 , and mean absolute error ≤ 1.2 μmol m −2 s −1 . The target light intensity points effectively delineated the light-limited phase of the Pn–PPFD response from the light-saturated phase. Final decision-making models showed high generalisability (coefficient of determination > 0.97 for both spectral and intensity decision-making models). Simulations quantified the advantages of the proposed strategy. Compared to conventional maximum Pn-oriented strategies, the proposed method reduced lighting energy consumption by 40-46%, while dynamic spectral adjustments enhanced photosynthetic efficiency by 5% relative to static controls. This study effectively improved the efficiency of light energy utilisation, and provided a theoretical method for light regulation in protected agriculture.","光作为光合作用的主要能量来源，显著影响植物形态和生物量积累。在设施农业系统中，光环境参数（光强与光谱质量）对作物生产力具有决定性作用。本研究开发了一种数据驱动的黄瓜幼苗光优化框架。首先，基于涵盖多种环境条件的经验数据，建立了人工神经网络（artificial neural network）以预测净光合速率。随后，为实现光合效率最大化与能耗最小化的协同优化，实施了两项关键创新：采用U弦法（U-chord method）确定目标光强，并设计了三次样条-全局牛顿混合算法（hybrid cubic spline-global Newton algorithm）用于光谱质量优化。通过支持向量回归（support vector regression）融合各子系统，构建了用于实时光管理的自适应决策模型。结果表明，人工神经网络模型实现了优异的净光合速率预测精度，决定系数>0.95，均方根误差\u003C1.6 μmol m⁻² s⁻¹，平均绝对误差≤1.2 μmol m⁻² s⁻¹。目标光强点有效划分了净光合速率-光合光子通量密度响应曲线中的光限制阶段与光饱和阶段。最终决策模型表现出良好的泛化能力（光谱决策模型与光强决策模型的决定系数均>0.97）。仿真量化了所提策略的优势。与传统最大净光合速率导向策略相比，该方法将补光能耗降低了40%~46%，同时动态光谱调节使光合效率较静态对照提高了5%。本研究有效提升了光能利用效率，为设施农业光调控提供了理论方法。","Biosystems Engineering",{"impact":82,"substance":28,"depth":82,"authority":84,"freshness":85,"relevant":32,"comment":175},"该研究提出数据驱动的设施黄瓜育苗光调控决策方法，节能40-46%且提升光合效率，方法新颖、数据可靠，对智慧农业光环境管理有较高参考价值。",[177],{"name":173,"url":170},[62,90,179,180,181],"设施农业","黄瓜育苗","光环境调控",[183,184],"设施农业 光环境 黄瓜育苗","光合速率 光强 光谱 优化","设施农业光环境黄瓜育苗-3606","10.1016\u002Fj.biosystemseng.2026.104601",{"doi":186,"openalex_id":188,"authors":189,"venue":173,"cited_by_count":46,"oa_url":170,"card":204,"direction":117,"ingested_from":119},"W7214421951",[190,193,196,198,201],{"name":191,"orcid":192},"Pan Gao","https:\u002F\u002Forcid.org\u002F0000-0002-5184-5674",{"name":194,"orcid":195},"Huimin Li","https:\u002F\u002Forcid.org\u002F0009-0001-9124-7628",{"name":197,"orcid":18},"Jinghua Xu",{"name":199,"orcid":200},"Miao Lu","https:\u002F\u002Forcid.org\u002F0000-0001-6539-2170",{"name":202,"orcid":203},"Jin Ping Hu","https:\u002F\u002Forcid.org\u002F0000-0001-5532-6890",{"tldr":205,"method":206,"finding":207,"direction":117,"opportunity":208},"构建数据驱动光调控决策框架，优化黄瓜幼苗光强与光谱以提升光合效率并降低能耗。","人工神经网络预测净光合速率，U弦法确定光强，三次样条-全局牛顿法优化光谱，支持向","模型预测精度高，较传统策略降低能耗40-46%，动态光谱调整提升光合效率5%。","可探索多环境因子耦合的实时闭环光调控，并迁移至其他设施作物验证泛化性。","2026-09-27T23:30:09.843641Z",{"id":211,"title":212,"url":213,"summary":214,"summary_zh":215,"content":18,"source_name":126,"source_url":213,"published_at":127,"category":79,"cover_url":18,"hotness":23,"is_selected":128,"score":216,"score_detail":217,"sources":220,"tags":222,"search_phrases":228,"slug":231,"view_count":46,"doi":232,"paper":233,"created_at":268},3628,"Identifying ecosystem service drivers to inform land use scenario simulation: An InVEST-PLSR-PLUS framework for the Danjiangkou Reservoir Basin, China","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecolind.2026.115581","The Danjiangkou Reservoir Basin is the core water source of the Middle Route of China's South-to-North Water Diversion Project, yet research in this basin has largely focused on static ecosystem service (ES) assessments, leaving the drivers of ES dynamics and their future trajectories poorly understood. This study develops an integrated InVEST–PLSR–PLUS framework that quantifies the spatiotemporal patterns of water yield, soil conservation, and carbon storage, identifies their dominant drivers objectively via Partial Least Squares Regression (PLSR), and projects land-use dynamics to 2030 using the PLUS model parameterized with PLSR-derived drivers rather than empirical selection. The main findings are as follows. (1) From 2010 to 2020, water yield increased markedly (from 79.22 to 895.38 to 166.69–1000.24 mm year −1 ), soil conservation declined (maximum from 941.60 to 641.91 t ha −1 year −1 ), and carbon storage remained stable (maximum around 20.4 t ha −1 year −1 ); high soil conservation and carbon storage values were concentrated in ecological and economic forests, whereas elevated water yield occurred mainly in farmland, orchards, and built-up land. (2) Vegetation and land-use variables dominated ES dynamics: EVI (VIP = 1.609), NDVI (VIP = 1.583), ecological forest area (VIP = 1.553), economic forest area (VIP = 1.476), and farmland area (VIP = 1.445) exerted strong positive effects; among landscape-pattern metrics, the landscape shape index (LSI; VIP = 1.313) was positively associated with all three services, whereas patch-subdivision metrics (PD, ED, IJI) showed negative associations; climatic and socioeconomic variables contributed only marginally (VIP \u003C 0.8, except GDP at 0.864). (3) Under the natural evolution scenario, ecological forest and orchard areas are projected to decrease by 40.89 km 2 and 20.54 km 2 by 2030, while economic forest (+29.63 km 2 ), water area (+24.10 km 2 ), farmland (+1.68 km 2 ), and built-up land (+5.98 km 2 ) expand. These findings demonstrate that vegetation cover and landscape connectivity fundamentally regulate ES provision, and indicate that ecological forest protection, control landscape fragmentation, and regulate built-up land and orchard expansion to safeguard the ecological security of this strategic water-source region.","丹江口库区是中国南水北调中线工程的核心水源区，但该区域的研究多集中于静态生态系统服务（ES）评估，对其动态变化的驱动机制及未来演变趋势的认识仍十分有限。本研究构建了InVEST–PLSR–PLUS集成框架，量化了产水量、土壤保持和碳储量的时空格局，通过偏最小二乘回归（PLSR）客观识别其主导驱动因子，并利用以PLSR-derived驱动因子而非经验选择参数化的PLUS模型，将土地利用动态模拟至2030年。主要结论如下：（1）2010—2020年，产水量显著增加（从79.22增至895.38，再到166.69~1000.24 mm·a⁻¹），土壤保持量下降（最大值从941.60降至641.91 t·ha⁻¹·a⁻¹），碳储量保持稳定（最大值约为20.4 t·ha⁻¹·a⁻¹）；土壤保持和碳储量的高值集中于生态林和经济林，而产水量的高值主要出现在耕地、果园和建设用地。（2）植被和土地利用变量主导了ES动态变化：EVI（VIP=1.609）、NDVI（VIP=1.583）、生态林面积（VIP=1.553）、经济林面积（VIP=1.476）和耕地面积（VIP=1.445）具有较强正向影响；在景观格局指标中，景观形状指数（LSI；VIP=1.313）与三项服务均呈正相关，而斑块细分指标（PD、ED、IJI）呈负相关；气候和社会经济变量的贡献较小（VIP\u003C0.8，GDP为0.864除外）。（3）在自然演变情景下，预计到2030年生态林和果园面积将分别减少40.89 km²和20.54 km²，而经济林（+29.63 km²）、水域（+24.10 km²）、耕地（+1.68 km²）和建设用地（+5.98 km²）将扩张。研究结果表明，植被覆盖和景观连通性从根本上调控着生态系统服务的供给，并指出应保护生态林、控制景观破碎化、调控建设用地和果园扩张，以保障这一战略性水源区的生态安全。",80,{"impact":218,"substance":83,"depth":82,"authority":84,"freshness":85,"relevant":32,"comment":219},16,"以PLSR驱动PLUS模型预测丹江口库区生态系统服务与土地利用变化，方法有创新、数据扎实，对水源区生态安全与农业空间管控有参考价值。",[221],{"name":126,"url":213},[223,224,225,226,227],"遥感","生态系统服务","土地利用模拟","水源地保护","丹江口库区",[229,230],"丹江口水库 生态系统服务","InVEST PLUS 土地利用模拟","丹江口水库生态系统服务-3628","10.1016\u002Fj.ecolind.2026.115581",{"doi":232,"openalex_id":234,"authors":235,"venue":126,"cited_by_count":46,"oa_url":261,"card":262,"direction":117,"ingested_from":119},"W7214192017",[236,239,242,244,247,249,251,254,257,259],{"name":237,"orcid":238},"Bojun Ma","https:\u002F\u002Forcid.org\u002F0000-0002-7867-3817",{"name":240,"orcid":241},"Kun Sun","https:\u002F\u002Forcid.org\u002F0000-0002-9460-6681",{"name":243,"orcid":18},"Jian Zhang",{"name":245,"orcid":246},"Chucai Peng","https:\u002F\u002Forcid.org\u002F0000-0003-3366-9547",{"name":248,"orcid":18},"孙宝洋",{"name":250,"orcid":18},"Xiaoshuang Wang",{"name":252,"orcid":253},"Jigen Liu","https:\u002F\u002Forcid.org\u002F0009-0006-6798-2864",{"name":255,"orcid":256},"Jinquan Huang","https:\u002F\u002Forcid.org\u002F0000-0001-7372-1915",{"name":258,"orcid":18},"Lin Li",{"name":260,"orcid":18},"Feipeng Ren","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1470160X26009830\u002Fpdf",{"tldr":263,"method":264,"finding":265,"direction":266,"opportunity":267},"构建InVEST-PLSR-PLUS框架，识别丹江口库区生态系统服务驱动因子并模拟2030年土地利用","InVEST模型、偏最小二乘回归（PLSR）与PLUS模型耦合，基于2010-2","植被与土地利用主导生态系统服务，自然演变下生态林和果园将减少，经济林与建设用地扩张。","农业绿色发展与碳","可将PLSR驱动因子筛选推广至其他水源区，并结合多情景政策模拟优化生态补偿与土地管控。","2026-09-27T23:31:29.684586Z",{"id":270,"title":271,"url":272,"summary":273,"summary_zh":274,"content":18,"source_name":275,"source_url":272,"published_at":78,"category":79,"cover_url":18,"hotness":23,"is_selected":128,"score":216,"score_detail":276,"sources":279,"tags":281,"search_phrases":285,"slug":288,"view_count":46,"doi":289,"paper":290,"created_at":311},3621,"Beyond Precision Agriculture: AI and Data-driven Information Systems as Catalysts for Sustainable Agribusiness Transformation","https:\u002F\u002Fdoi.org\u002F10.56557\u002Fjgembr\u002F2026\u002Fv18i311156","The dominant narrative in digital agriculture centres on discrete technologies, including sensors, unmanned aerial vehicles, global positioning systems, remote sensing, and machine learning, evaluated primarily for their capacity to increase yields and improve input-use efficiency. This narrows the analytical lens to the farm gate and understates a more consequential shift: individual technologies generate value for agribusiness only when information systems capture, integrate, and route the data they produce into real operational and strategic decisions. This review critically examines the AI- and data-driven agribusiness transformation literature through a single organising pathway: data, analytics, artificial intelligence, information systems, decisions, sustainable agribusiness outcomes; it asks whether the field's technical achievements have matched comparable progress in systems integration and governance. A transparent narrative search and appraisal protocol synthesised evidence across ten thematic domains: agricultural big-data integration, predictive and prescriptive analytics, farm management information systems (FMIS), AI-enabled supply-chain analytics, climate-risk adaptation, sustainability and ESG analytics, data governance and cybersecurity, digital infrastructure and adoption, circular agriculture, and decision-support systems. The evidence shows that sensing and algorithmic capabilities have matured faster than the organisational and governance capacity required to convert those capabilities into adopted agribusiness decisions. Data-governance barriers, rather than technological ones, now dominate constraints on information-system integration in the literature published since 2023. Research, investment, and policy attention should therefore shift further toward the interoperability, governance, and organisational design layers of digital agriculture, rather than continuing to concentrate primarily on sensor accuracy or model performance.","数字农业的主流叙事聚焦于各类离散技术，包括传感器、无人机、全球定位系统、遥感和机器学习，并主要依据其提高产量和改善投入品利用效率的能力加以评价。这种视角将分析视野收窄至农场大门，低估了一个更具深远意义的转变：只有当信息系统能够捕获、整合单个技术所产生的数据，并将其导入实际运营和战略决策时，这些技术才能为农业企业创造价值。本综述通过一条单一的组织路径——数据、分析、人工智能、信息系统、决策、可持续农业企业成果——批判性地审视人工智能和数据驱动的农业企业转型文献，并追问该领域的技术成就是否与系统集成和治理方面的相应进展相匹配。一项透明的叙述性检索与评价方案综合了十个主题领域的证据：农业大数据集成、预测性与规范性分析、农场管理信息系统(FMIS)、人工智能赋能的供应链分析、气候风险适应、可持续性与ESG分析、数据治理与网络安全、数字基础设施与采用、循环农业以及决策支持系统。证据表明，感知和算法能力的成熟速度快于将这些能力转化为已被采用的农业企业决策所需的组织和治理能力。在2023年以来发表的文献中，数据治理障碍而非技术障碍，已成为信息系统集成的主要制约因素。因此，研究、投资和政策关注应进一步转向数字农业的互操作性、治理和组织设计层面，而非继续主要集中于传感器精度或模型性能。","Journal of Global Economics Management and Business Research",{"impact":82,"substance":28,"depth":82,"authority":277,"freshness":85,"relevant":32,"comment":278},13,"该综述指出数据治理与系统集成而非传感技术本身才是数字农业落地的关键瓶颈，观点有实质增量，但属学术综述、产业影响偏间接。",[280],{"name":275,"url":272},[62,90,282,283,284],"农业大数据","数据治理","农业信息体系",[286,287],"农业信息体系 数据治理","农场管理信息系统 FMIS","农业信息体系数据治理-3621","10.56557\u002Fjgembr\u002F2026\u002Fv18i311156",{"doi":289,"openalex_id":291,"authors":292,"venue":275,"cited_by_count":46,"oa_url":272,"card":305,"direction":165,"ingested_from":119},"W7214471201",[293,295,297,299,301,303],{"name":294,"orcid":18},"Timilehin Fawibe",{"name":296,"orcid":18},"Gbenga Samuel Ernest",{"name":298,"orcid":18},"Joshua Emmanuel",{"name":300,"orcid":18},"Simon Jacob",{"name":302,"orcid":18},"Olawale Akinleye",{"name":304,"orcid":18},"Tosin Olorunwo",{"tldr":306,"method":307,"finding":308,"direction":309,"opportunity":310},"综述指出农业数字化瓶颈已从技术转向数据治理与系统集成，呼吁研究重心转向互操作与组织设计。","采用透明叙事检索与评价协议，综合十大主题领域的AI与数据驱动农业文献。","2023年后数据治理障碍而非技术障碍，成为农业信息系统集成的主要制约。","数字乡村与农业信息化","可研究农业数据互操作标准、治理机制与组织采纳路径如何影响可持续农业商业决策。","2026-09-27T23:30:46.092194Z",{"id":313,"title":314,"url":315,"summary":316,"summary_zh":317,"content":18,"source_name":318,"source_url":315,"published_at":78,"category":79,"cover_url":18,"hotness":23,"is_selected":128,"score":216,"score_detail":319,"sources":321,"tags":323,"search_phrases":328,"slug":331,"view_count":46,"doi":332,"paper":333,"created_at":350},3611,"Intelligent Monitoring System for Plant Growth Based on the PAM-Li-Zn Ionic Hydrogel","https:\u002F\u002Fdoi.org\u002F10.1021\u002Facs.biomac.6c01415","Abstract With the rapid advancement of flexible electronics and smart agriculture, plant wearable sensors have attracted increasing attention for precision agricultural monitoring. However, conventional rigid sensors suffer from mechanical incompatibility with soft plant tissues and invasive attachment, limiting long-term in situ monitoring. Here, a flexible triboelectric nanogenerator (TENG) sensor based on a conductive ionic hydrogel (PAM-Li-Zn TENG) was developed and integrated with a Bluetooth module for wireless plant monitoring. The hydrogel composed of PVA, AM, LiCl, and zinc chloride provided excellent flexibility, ionic conductivity, and water retention. The optimized hydrogel containing 3 wt % glycerol exhibited a tensile strength of approximately 124 kPa and an elongation at break of nearly 582%. With PDMS encapsulation, the sensor achieved structural stability and reliable operation. Combined with machine learning algorithms, the PAM-Li-Zn TENG enabled intelligent identification of plant growth states and abiotic stress monitoring, generating an open-circuit voltage of 312 V and a short-circuit current of 31 μA under 50 N force at 1.6 Hz.","摘要 随着柔性电子与智慧农业的快速发展，植物可穿戴传感器在精准农业监测中受到越来越多的关注。然而，传统刚性传感器与柔软植物组织之间存在机械不兼容性，且贴附方式具有侵入性，限制了长期原位监测。为此，本研究开发了一种基于导电离子水凝胶的柔性摩擦纳米发电机（TENG）传感器（PAM-Li-Zn TENG），并将其与蓝牙模块集成，用于植物无线监测。该水凝胶由PVA、AM、LiCl和氯化锌组成，具有优异的柔韧性、离子导电性和保水性。含3 wt %甘油的优化水凝胶拉伸强度约为124 kPa，断裂伸长率接近582%。通过PDMS封装，传感器实现了结构稳定性和可靠运行。结合机器学习算法，PAM-Li-Zn TENG能够智能识别植物生长状态并监测非生物胁迫，在50 N力、1.6 Hz条件下产生312 V的开路电压和31 μA的短路电流。","Biomacromolecules",{"impact":82,"substance":28,"depth":82,"authority":84,"freshness":132,"relevant":32,"comment":320},"基于离子水凝胶与摩擦纳米发电机的柔性植物可穿戴传感器，结合机器学习实现生长状态与非生物胁迫智能识别，方法新颖、数据扎实，对智慧农业感知层有参考价值。",[322],{"name":318,"url":315},[62,324,325,326,327],"水凝胶","植物可穿戴传感器","摩擦纳米发电机","作物胁迫监测",[329,330],"PAM-Li-Zn 离子水凝胶 植物传感器","摩擦纳米发电机 植物生长监测","PAM-Li-Zn离子水凝胶植物传感器-3611","10.1021\u002Facs.biomac.6c01415",{"doi":332,"openalex_id":334,"authors":335,"venue":318,"cited_by_count":46,"oa_url":18,"card":344,"direction":348,"ingested_from":119},"W7214489477",[336,338,341],{"name":337,"orcid":18},"Long Yang",{"name":339,"orcid":340},"Guoqing Zu","https:\u002F\u002Forcid.org\u002F0000-0003-3382-4498",{"name":342,"orcid":343},"Xijia Yang","https:\u002F\u002Forcid.org\u002F0000-0001-9424-3596",{"tldr":345,"method":346,"finding":347,"direction":348,"opportunity":349},"开发PAM-Li-Zn离子水凝胶TENG传感器，结合蓝牙与机器学习实现植物生长状态无线智能监测。","PVA\u002FAM\u002FLiCl\u002FZnCl2水凝胶TENG，PDMS封装，蓝牙传输，机器学","水凝胶拉伸强度124 kPa、断裂伸长率582%，TENG输出312 V\u002F31 μA，可识别生长状态","智慧农业 \u002F 农业物联网","可探索多模态自供能传感器网络与轻量化模型在田间长期原位监测中的融合。","2026-09-27T23:30:14.203420Z",{"id":352,"title":353,"url":354,"summary":355,"summary_zh":356,"content":18,"source_name":357,"source_url":354,"published_at":78,"category":79,"cover_url":18,"hotness":358,"is_selected":128,"score":216,"score_detail":359,"sources":361,"tags":367,"search_phrases":372,"slug":375,"view_count":46,"doi":376,"paper":377,"created_at":387},3608,"Food Security as A Geopolitical Challenge: India's Role in Building Resilient and Sustainable Global Food Systems","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22974817","As armed conflicts, climate change, trade restrictions, supply chain disruptions, resource scarcity, and volatile food prices threaten food systems worldwide, the issue of food security has gained renewed geopolitical significance. This review paper attempts to conceptualize the issue of food security within the framework of International Relations by focussing on India’s emerging role as a provider of resilient and sustainable global food systems. The paper tries to analyse the shift of food as an issue from development and agricultural sector-centric to its current status as a strategic good linked to statecraft, geopolitics, economic interdependence, and national security. The Paper analyse the Russia-Ukraine war, climate disasters, export bans, and disruptions in energy, fertilizers, and maritime logistics, as factors that have reshaped global food security. In its first part, the paper looks at India’s food security situation, including agricultural production, public distribution, food availability, climate change, groundwater depletion, and malnutrition. However, the second part focusses on India’s use of its emerging status as a global food provider in its geopolitical strategies and examines India’s food diplomacy in G20 and South-South partnerships. The study contends that India can play a pivotal role in building strategic food security through a combination of diversified production, climate-smart agriculture, sustainable groundwater management, digitalization of agriculture, reduction of food loss and waste, and trade for food security to build resilient food systems both within and outside the country. The paper recommends that India’s future role in global food security discourse moves beyond being a food bowl for others to engage in food diplomacy to shape global food governance to make international food systems more inclusive, resilient, and sustainable.","在武装冲突、气候变化、贸易限制、供应链中断、资源稀缺以及粮食价格波动威胁全球粮食体系的背景下，粮食安全问题重新获得了地缘政治意义。本文试图在国际关系框架内对粮食安全问题进行概念化，聚焦于印度作为韧性和可持续全球粮食体系提供者这一新兴角色。文章尝试分析粮食议题如何从以发展和农业部门为中心，转变为当前与治国方略、地缘政治、经济相互依赖和国家安全相关联的战略性商品。本文分析了俄乌战争、气候灾害、出口禁令以及能源、化肥和海上物流中断等因素如何重塑了全球粮食安全。在第一部分，文章审视了印度的粮食安全状况，包括农业生产、公共分配、粮食可获得性、气候变化、地下水枯竭和营养不良等问题。然而，第二部分聚焦于印度如何在其地缘政治战略中利用其作为全球粮食提供者的新兴地位，并考察印度在二十国集团和南南合作中的粮食外交。研究认为，印度可以通过多元化生产、气候智慧型农业、可持续地下水管理、农业数字化、减少粮食损失和浪费以及以贸易促进粮食安全等组合手段，在构建战略粮食安全方面发挥关键作用，从而在国内外建设有韧性的粮食体系。本文建议，印度在全球粮食安全话语中的未来角色应超越仅仅充当他人的“粮仓”，而应参与粮食外交以塑造全球粮食治理，使国际粮食体系更加包容、有韧性和可持续。","Zenodo (CERN European Organization for Nuclear Research)",40,{"impact":28,"substance":57,"depth":29,"authority":277,"freshness":132,"relevant":32,"comment":360},"从国际关系视角系统梳理印度粮食安全与粮食外交，对理解全球粮食治理与农业数字化路径有参考价值，但属综述性论文、非国内三农直接政策动态。",[362,363,365],{"name":357,"url":354},{"name":357,"url":364},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22974818",{"name":357,"url":366},"https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.22975162",[38,368,369,370,371],"农业数字化","气候智慧农业","粮食外交","全球粮食治理",[373,374],"印度 粮食安全 粮食外交","G20 粮食安全 南南合作","印度粮食安全粮食外交-3608","10.5281\u002Fzenodo.22974817",{"doi":376,"openalex_id":378,"authors":379,"venue":357,"cited_by_count":46,"oa_url":354,"card":382,"direction":348,"ingested_from":119},"W7214429511",[380],{"name":381,"orcid":18},"Surjit Singh",{"tldr":383,"method":384,"finding":385,"direction":309,"opportunity":386},"综述印度在全球粮食安全中的地缘政治角色，提出其通过气候智慧农业等构建韧性粮食体系。","国际关系框架下的文献综述，分析俄乌战争、出口禁令等案例及印度G20粮食外交。","印度可从粮食供应者升级为全球粮食治理塑造者，需结合数字化、气候智慧农业与粮食外交。","可量化研究印度农业数字化与气候智慧农业对全球粮食供应链韧性的贡献机制。","2026-09-27T23:30:13.720099Z",{"id":389,"title":390,"url":391,"summary":392,"summary_zh":393,"content":18,"source_name":173,"source_url":391,"published_at":78,"category":79,"cover_url":18,"hotness":23,"is_selected":128,"score":394,"score_detail":395,"sources":397,"tags":399,"search_phrases":403,"slug":406,"view_count":46,"doi":407,"paper":408,"created_at":425},3607,"Analysis of drought carry-over effect on apple trees using the Leafiness-LiDAR index","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biosystemseng.2026.104603","Apple trees ( Malus × domestica Borkh.) are widely grown in Mediterranean regions, where drought-induced irrigation restrictions can impair canopy development and productivity. This study assessed the Leafiness-LiDAR Index (LLI), derived from terrestrial Light Detection and Ranging (LiDAR) point clouds, as a proxy for Leaf Area Index (LAI) and as a non-destructive indicator of canopy response and recovery following water deficit. An ‘Opal®’ apple orchard was monitored over three growing seasons (2023–2025), encompassing one drought year and two recovery years. In 2023, full irrigation (FI; 480 mm) was compared with deficit irrigation (DI; 300 mm; 37.5% less water) under two planting densities (0.5 and 1.0 m tree spacing). Mixed-effects models revealed significant Year × Irrigation interactions for LAI (p = 0.006) and LLI (p \u003C 0.001), but not for yield (p = 0.654), suggesting a partial decoupling between structural and productive recovery. During the drought year, DI reduced LLI by 37% and yield by 47%. Following irrigation restoration, LLI differences persisted, particularly in 2024, indicating lasting structural effects of water deficit. Higher planting density promoted canopy recovery and increased yield. LLI proved to be a valuable, non-destructive estimator of LAI for detecting drought legacy effects and tracking canopy recovery, supporting precision orchard management under Mediterranean water scarcity.","苹果树（Malus × domestica Borkh.）广泛种植于地中海地区，该地区因干旱导致的灌溉限制会损害树冠发育和生产力。本研究评估了基于地面激光雷达（LiDAR）点云衍生的叶量-激光雷达指数（Leafiness-LiDAR Index, LLI）作为叶面积指数（Leaf Area Index, LAI）的替代指标，以及作为水分亏缺后树冠响应与恢复的非破坏性指标的可行性。对一个‘Opal®’苹果园进行了三个生长季（2023—2025年）的监测，涵盖一个干旱年和两个恢复年。2023年，在两种种植密度（株距0.5 m和1.0 m）下，比较了充分灌溉（FI；480 mm）与亏缺灌溉（DI；300 mm；减少37.5%水量）。混合效应模型显示，LAI（p = 0.006）和LLI（p \u003C 0.001）存在显著的年×灌溉交互作用，而产量（p = 0.654）则无此交互作用，表明结构与产量恢复之间存在部分脱耦。在干旱年，DI使LLI降低37%，产量降低47%。灌溉恢复后，LLI差异持续存在，尤其在2024年，表明水分亏缺具有持久的结构性影响。较高的种植密度促进了树冠恢复并提高了产量。LLI被证明是一种有价值的、非破坏性的LAI估算指标，可用于检测干旱遗留效应并追踪树冠恢复，为地中海水资源短缺条件下的精准果园管理提供支持。",77,{"impact":30,"substance":28,"depth":82,"authority":84,"freshness":132,"relevant":32,"comment":396},"地中海苹果园三年试验证实LiDAR叶量指数可无损监测干旱遗留效应与冠层恢复，方法新颖、数据扎实，对果园精准灌溉有参考价值。",[398],{"name":173,"url":391},[62,400,223,401,402],"苹果","果园管理","精准灌溉",[404,405],"LiDAR 苹果园 干旱","Leafiness-LiDAR Index 苹果","LiDAR苹果园干旱-3607","10.1016\u002Fj.biosystemseng.2026.104603",{"doi":407,"openalex_id":409,"authors":410,"venue":173,"cited_by_count":46,"oa_url":391,"card":420,"direction":165,"ingested_from":119},"W7214458453",[411,414,417],{"name":412,"orcid":413},"Leire Sandonís-Pozo","https:\u002F\u002Forcid.org\u002F0000-0003-2472-0259",{"name":415,"orcid":416},"José Antonio Martínez-Casasnovas","https:\u002F\u002Forcid.org\u002F0000-0003-1480-3632",{"name":418,"orcid":419},"Miquel Pascual","https:\u002F\u002Forcid.org\u002F0000-0002-3329-4207",{"tldr":421,"method":422,"finding":423,"direction":165,"opportunity":424},"用LiDAR叶量指数追踪苹果园干旱遗留效应与冠层恢复。","三年果园试验，地面LiDAR点云提取LLI，混合效应模型分析。","亏缺灌溉使LLI降37%、产量降47%，复水后结构差异仍持续。","可探索LLI与多源遥感融合，构建果园干旱遗留效应早期预警与精准补灌决策模型。","2026-09-27T23:30:09.907348Z",{"id":427,"title":428,"url":429,"summary":430,"summary_zh":18,"content":18,"source_name":431,"source_url":429,"published_at":127,"category":79,"cover_url":18,"hotness":23,"is_selected":128,"score":394,"score_detail":432,"sources":434,"tags":436,"search_phrases":440,"slug":443,"view_count":46,"doi":444,"paper":445,"created_at":459},3604,"HEART-Net: An ultra-lightweight multimodal neural network for on-device cattle live-weight estimation and precision phytogenic dosing","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.atech.2026.102587","HEART-Net: An ultra-lightweight multimodal neural network for on-device cattle live-weight estimation and precision phytogenic dosing。Smart Agricultural Technology","Smart Agricultural Technology",{"impact":82,"substance":57,"depth":82,"authority":277,"freshness":132,"relevant":32,"comment":433},"提出超轻量多模态网络实现端侧肉牛活重估计与精准植物源饲料投喂，方法新颖且面向实际养殖场景，具备智慧畜牧领域参考价值。",[435],{"name":431,"url":429},[62,90,437,438,439],"智能装备","畜牧养殖","精准饲喂",[441,442],"HEART-Net 肉牛 体重估计","肉牛 活重估计 植物源饲料","HEART-Net肉牛体重估计-3604","10.1016\u002Fj.atech.2026.102587",{"doi":444,"openalex_id":446,"authors":447,"venue":431,"cited_by_count":46,"oa_url":429,"card":18,"direction":18,"ingested_from":119},"W7214389961",[448,451,453,455,457],{"name":449,"orcid":450},"Ashif Shuvo","https:\u002F\u002Forcid.org\u002F0009-0003-5734-1519",{"name":452,"orcid":18},"Sakibul Hasan",{"name":454,"orcid":18},"Abir Anjum",{"name":456,"orcid":18},"Asaduzzaman Shahed",{"name":458,"orcid":18},"Mohammad Al-Mamun","2026-09-27T23:30:05.905976Z",{"id":461,"title":462,"url":463,"summary":464,"summary_zh":18,"content":18,"source_name":465,"source_url":18,"published_at":466,"category":79,"cover_url":18,"hotness":23,"is_selected":128,"score":467,"score_detail":468,"sources":472,"tags":474,"search_phrases":478,"slug":481,"view_count":46,"doi":18,"paper":482,"created_at":490},3651,"[预印本] 蒙特卡洛事前评估AI驱动智慧农业平台绿色效益——以海南热带农业为例","https:\u002F\u002Farxiv.org\u002Fhtml\u002F2609.06737v1","以整合大语言模型问答、多模态病虫害诊断、物联网土壤湿度传感、NASA GIBS卫星遥感与闭环田间记录系统的热带农业AI决策平台为对象，构建覆盖农药化肥生产、田间N2O、灌溉电力与稻田CH4的'摇篮到农场大门'农业碳核算模型。在三个海南代表性场景（芒果园、冬季蔬菜、稻\u002F南繁育种田，按面积40%：30%：30%加权）下，通过蒙特卡洛模拟参数不确定性传播：在完全采纳试点情景下，化学农药使用减少23.5%（90%置信区间15.0%–33.2%），化肥施用减少21.0%（13.8%–28.9%），灌溉水减少16.5%（10.9%–23.5%），碳强度降低21.5%（16.1%–27.2%）。达成化肥减量≥15%与碳强度明确下降的概率分别为90.6%与98.1%，而总节水≥20%的概率仅约20%，表明应采用场景化表述。","arXiv 2609.06737v1 (2026-09)","2026-09-15T00:00:00Z",76,{"impact":82,"substance":28,"depth":82,"authority":469,"freshness":470,"relevant":32,"comment":471},12,6,"预印本以蒙特卡洛量化AI平台在海南三类场景的减药减肥与碳减排概率，方法新颖、数据具体，但尚未经同行评审，属细分领域进展。",[473],{"name":465,"url":463},[62,90,475,476,477],"农药减量","农业碳核算","海南热带农业",[479,480],"海南 热带农业 AI平台","蒙特卡洛 农业碳核算","海南热带农业AI平台-3651",{"doi":18,"openalex_id":18,"authors":483,"venue":18,"cited_by_count":46,"oa_url":18,"card":484,"direction":266,"ingested_from":489},[],{"tldr":485,"method":486,"finding":487,"direction":266,"opportunity":488},"用蒙特卡洛模拟评估AI智慧农业平台在海南热带农业中的绿色减排效益。","构建摇篮到农场大门碳核算模型，结合蒙特卡洛模拟参数不确定性。","完全采纳下碳强度降21.5%，化肥减量达标概率90.6%，但总节水≥20%概率仅20%。","可延伸研究AI平台在不同作物场景下的节水短板及多目标优化策略。","agent","2026-09-28T00:03:02.301756Z",{"id":492,"title":493,"url":494,"summary":495,"summary_zh":496,"content":18,"source_name":497,"source_url":494,"published_at":127,"category":79,"cover_url":18,"hotness":23,"is_selected":128,"score":467,"score_detail":498,"sources":501,"tags":503,"search_phrases":508,"slug":511,"view_count":46,"doi":512,"paper":513,"created_at":531},3614,"Integration of digital twin and IoT for virtual greenhouse management","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.sciaf.2026.e03665","The convergence of Digital Twin (DT) and Internet of Things (IoT) technologies represents a key enabler of Agriculture 5.0, providing real-time synchronization between physical and virtual environments. When coupled with Virtual Reality (VR), these technologies enable immersive and interactive systems that enhance intelligent agriculture monitoring, control, and decision-making. This study proposes an advanced and fully integrated VR–DT–IoT framework for virtual greenhouse management, designed not only to simulate and visualize but also to synchronize and control the physical system in real time. The proposed framework achieves seamless cyber-physical fusion by establishing bidirectional communication among IoT sensors, DT models, and VR interfaces. This enables users to trigger actuator commands and observe instant physical feedback directly within the immersive environment. A real-world experimental greenhouse was developed as a testbed to validate the system’s architecture and functionality. IoT sensors continuously monitored environmental parameters with data streams dynamically synchronized to the DT model reproducing greenhouse dynamics. The VR interface provided context-aware interaction and spatial visualization, allowing users to explore live sensor data, analyze trends, and simulate adaptive control strategies in a realistic virtual environment. The experimental validation, conducted with 23 participants across seven training sessions, revealed a marked reduction in task completion time and error rates, along with high usability scores (SUS = 3.84\u002F5), confirming the system’s effectiveness in improving operational performance. The findings demonstrate that the proposed system significantly advances digital agriculture by merging modeling, real-time feedback, and immersive control into a unified human-in-the-loop platform. This research highlights the technological novelty and practical value of integrating DT, IoT, and VR into a single coherent framework, bridging physical and virtual domains.","数字孪生（Digital Twin, DT）与物联网（Internet of Things, IoT）技术的融合是农业5.0的关键使能技术，可实现物理环境与虚拟环境之间的实时同步。当与虚拟现实（Virtual Reality, VR）相结合时，这些技术能够构建沉浸式交互系统，从而增强智能农业的监测、控制与决策能力。本研究提出了一种先进且完全集成的VR–DT–IoT框架，用于虚拟温室管理，该框架不仅能够仿真和可视化，还能够实时同步和控制物理系统。所提出的框架通过建立IoT传感器、DT模型与VR界面之间的双向通信，实现了无缝的信息物理融合。用户可在沉浸式环境中直接触发执行器命令并观察即时物理反馈。本研究搭建了一个真实实验温室作为测试平台，以验证系统架构与功能。IoT传感器持续监测环境参数，数据流动态同步至DT模型，以复现温室动态变化。VR界面提供了情境感知交互与空间可视化功能，使用户能够在逼真的虚拟环境中探索实时传感器数据、分析趋势并仿真自适应控制策略。实验验证共有23名参与者参与，跨越七次培训课程，结果显示任务完成时间和错误率显著降低，同时可用性评分较高（SUS = 3.84\u002F5），证实了该系统在提升操作性能方面的有效性。研究结果表明，所提出的系统通过将建模、实时反馈与沉浸式控制融合为统一的人在回路平台，显著推进了数字农业发展。本研究凸显了将DT、IoT与VR集成到单一连贯框架中的技术创新性与实用价值，弥合了物理域与虚拟域之间的鸿沟。","Scientific African",{"impact":218,"substance":499,"depth":82,"authority":277,"freshness":132,"relevant":32,"comment":500},21,"提出VR-DT-IoT全集成虚拟温室框架并经真实温室与23人实验验证，方法新颖、数据可靠，对智慧农业人机交互控制有参考价值。",[502],{"name":497,"url":494},[62,504,505,506,507],"农业物联网","数字孪生","虚拟现实","温室管理",[509,510],"数字孪生 物联网 虚拟温室","VR DT IoT 智慧农业","数字孪生物联网虚拟温室-3614","10.1016\u002Fj.sciaf.2026.e03665",{"doi":512,"openalex_id":514,"authors":515,"venue":497,"cited_by_count":46,"oa_url":525,"card":526,"direction":348,"ingested_from":119},"W7214397681",[516,519,522],{"name":517,"orcid":518},"Hicham Slimani","https:\u002F\u002Forcid.org\u002F0000-0002-7946-4064",{"name":520,"orcid":521},"Abdelilah Jilbab","https:\u002F\u002Forcid.org\u002F0000-0002-1577-9040",{"name":523,"orcid":524},"Jamal El Mhamdi","https:\u002F\u002Forcid.org\u002F0000-0001-8219-3560","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2468227626004904\u002Fpdf",{"tldr":527,"method":528,"finding":529,"direction":348,"opportunity":530},"提出VR-DT-IoT框架，实现虚拟温室实时同步与沉浸式控制。","构建真实温室试验台，集成IoT传感器、数字孪生模型与VR界面，23人测试。","任务完成时间和错误率显著降低，可用性高（SUS=3.84\u002F5）。","可探索多用户协同VR控制、AI预测性维护及跨温室数字孪生标准化。","2026-09-27T23:30:19.611108Z",{"id":533,"title":534,"url":535,"summary":536,"summary_zh":18,"content":18,"source_name":537,"source_url":18,"published_at":466,"category":79,"cover_url":18,"hotness":23,"is_selected":128,"score":538,"score_detail":539,"sources":541,"tags":543,"search_phrases":546,"slug":549,"view_count":46,"doi":18,"paper":550,"created_at":557},3652,"[预印本] 智慧农业平台AI模块的边际绿色贡献模拟——两项蒙特卡洛实验证据","https:\u002F\u002Farxiv.org\u002Fhtml\u002F2609.06740v1","在前期平台级评估基础上，本研究将组件显性化并设计两项受控模拟实验。实验1沿'AI能力→农户行为→农化投入减少'链路建模，将农药\u002F化肥减量建模为可避免盲施份额、处方有效性、决策触达覆盖率与采纳率的乘积；对比经验推广模式与AI模式：AI模式下达成农药减量20%的概率从推广模式下的接近0上升至基线20.7%，并在诊断精度0.95、采纳率0.85下最高达49%；化肥减量15%的概率从接近0升至52.0%。实验2对比现行做法（P0）、IoT工程改造（P1）及P1+AI灌溉调度（P2）：灌溉水节水由7.8%（P0）升至11.0%（P1）与16.0%（P2），AI在工程之外再增加5.0个百分点；稻田CH4在AI调度下减幅达30.5%，碳强度降低27.9%。","arXiv 2609.06740v1 (2026-09)",75,{"impact":82,"substance":28,"depth":82,"authority":85,"freshness":132,"relevant":32,"comment":540},"预印本以两项蒙特卡洛模拟量化AI模块在农化减量与稻田减排上的边际绿色贡献，方法新颖、数据具体，但尚未经同行评审，属细分领域前沿进展。",[542],{"name":537,"url":535},[62,90,402,544,545],"稻田甲烷","化肥农药减量",[547,548],"AI灌溉调度 稻田甲烷 节水","智慧农业 农药化肥减量 蒙特卡洛","AI灌溉调度稻田甲烷节水-3652",{"doi":18,"openalex_id":18,"authors":551,"venue":18,"cited_by_count":46,"oa_url":18,"card":552,"direction":266,"ingested_from":489},[],{"tldr":553,"method":554,"finding":555,"direction":266,"opportunity":556},"通过两项蒙特卡洛实验模拟智慧农业平台AI模块对农药化肥减量和灌溉节水减碳的边际绿色贡献。","蒙特卡洛模拟，构建AI能力到农户行为再到农化投入减少的链路模型，对比经验推广与A","AI模式使农药减量20%概率从近0升至20.7%-49%，化肥减量15%概率升至52%，灌溉节水额外","可进一步实证检验AI诊断精度与农户采纳率对减量减碳效果的交互影响及区域异质性。","2026-09-28T00:03:02.391014Z",{"id":559,"title":560,"url":561,"summary":562,"summary_zh":563,"content":18,"source_name":564,"source_url":561,"published_at":565,"category":79,"cover_url":18,"hotness":23,"is_selected":128,"score":538,"score_detail":566,"sources":568,"tags":570,"search_phrases":575,"slug":578,"view_count":46,"doi":579,"paper":580,"created_at":594},3617,"Applications and challenges of geospatial technologies in veterinary medicine","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs44338-026-00259-y","Geospatial technologies are increasingly recognized as critical assets in veterinary medicine, providing robust frameworks for disease surveillance, risk mapping, and informed decision‑making. The objective of this narrative review is to summarize the role of Geographic Information Systems, Global Positioning System, and Remote Sensing in advancing veterinary medicine by synthesizing current applications, identifying prevailing challenges, and exploring future prospects. Collectively, these tools enable monitoring of disease dynamics, identification of epidemiological hotspots, outbreak prediction, and integration of spatial and epidemiological datasets to guide targeted interventions. For instance, GIS‑based mapping of Rift Valley fever outbreaks in East Africa has enabled rapid identification of epidemiological hotspots and guided vaccination campaigns, while RS‑derived vegetation indices have successfully predicted tick distribution patterns in southern Africa, improving targeted control strategies. Their utility extends beyond livestock health, contributing significantly to wildlife disease monitoring, zoonotic risk assessment, food safety assurance, and broader veterinary decision processes. Despite such successes, adoption remains limited, hindered by technical\u002Finfrastructure barriers, poor data quality, and ethical and policy challenges. In Ethiopia, recent surveys indicate that fewer than 20% of veterinary institutions actively use GIS platforms for routine surveillance, and integration of RS into national veterinary services is still limited to pilot projects. This gap underscores the urgent need for national geospatial data repositories, standardized protocols, and capacity‑building initiatives to ensure equitable access and sustainable utilization. Future opportunities lie in harnessing advances in Artificial Intelligence, Machine Learning, and cloud‑based GIS platforms, alongside global collaboration and training programs, to strengthen veterinary epidemiology and surveillance systems. Addressing these challenges will be essential for the sustainable integration of geospatial technologies into veterinary practice, thereby enhancing disease control, safeguarding public health, and supporting livestock productivity.","地理空间技术在兽医学中日益被视为关键资产，为疾病监测、风险制图和知情决策提供了稳健框架。本叙述性综述旨在总结地理信息系统（Geographic Information Systems, GIS）、全球定位系统（Global Positioning System, GPS）和遥感（Remote Sensing, RS）在推动兽医学发展中的作用，通过综合当前应用、识别主要挑战并探讨未来前景。总体而言，这些工具有助于监测疾病动态、识别流行病学热点、预测疫情，并整合空间与流行病学数据集以指导针对性干预。例如，基于GIS的东非裂谷热疫情制图能够快速识别流行病学热点并指导疫苗接种活动，而遥感衍生的植被指数已成功预测南部非洲蜱虫分布模式，改善了针对性控制策略。其效用不仅限于家畜健康，还对野生动物疾病监测、人兽共患病风险评估、食品安全保障及更广泛的兽医决策过程作出重要贡献。尽管取得了这些成功，其应用仍然有限，受到技术\u002F基础设施障碍、数据质量不佳以及伦理和政策挑战的制约。在埃塞俄比亚，近期调查表明，不到20%的兽医机构在常规监测中积极使用GIS平台，而遥感纳入国家兽医服务仍局限于试点项目。这一差距凸显了建立国家地理空间数据存储库、标准化方案和能力建设举措的迫切需求，以确保公平获取和可持续利用。未来的机遇在于利用人工智能、机器学习和基于云的GIS平台的进步，以及全球合作和培训项目，来加强兽医流行病学和监测系统。应对这些挑战对于将地理空间技术可持续地整合到兽医实践中至关重要，从而增强疾病控制、保障公共卫生并支持家畜生产力。","Discover Animals","2026-09-24T00:00:00Z",{"impact":82,"substance":57,"depth":29,"authority":469,"freshness":132,"relevant":32,"comment":567},"综述系统梳理GIS、GPS与遥感在兽医领域的应用与瓶颈，含东非裂谷热、南部非洲蜱虫分布及埃塞俄比亚使用率不足20%等实证数据，对农业信息化与动物疫病防控有参考价值。",[569],{"name":564,"url":561},[571,137,572,573,574],"动物疫病防控","人兽共患病","兽医信息化","地理信息系统",[576,577],"GIS 兽医 疾病监测","遥感 蜱虫 分布 预测","GIS兽医疾病监测-3617","10.1007\u002Fs44338-026-00259-y",{"doi":579,"openalex_id":581,"authors":582,"venue":564,"cited_by_count":46,"oa_url":588,"card":589,"direction":348,"ingested_from":119},"W7214225608",[583,586],{"name":584,"orcid":585},"Assaye Wollelie Fentie","https:\u002F\u002Forcid.org\u002F0009-0005-9099-9819",{"name":587,"orcid":18},"Daniel Haile Asefa","https:\u002F\u002Flink.springer.com\u002Fcontent\u002Fpdf\u002F10.1007\u002Fs44338-026-00259-y.pdf",{"tldr":590,"method":591,"finding":592,"direction":165,"opportunity":593},"综述地理空间技术在兽医领域的应用、挑战与前景，聚焦疾病监测与风险制图。","叙述性综述，整合GIS、GPS、遥感在兽医流行病学中的应用案例与调查数据。","GIS\u002FRS能有效预测疫情和病媒分布，但应用受限于基础设施、数据质量及政策，如埃塞俄比亚使用率不足2","可探索AI\u002F机器学习与云GIS结合，构建兽医领域标准化地理空间数据平台与预警系统。","2026-09-27T23:30:26.015992Z"]