[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2901":3,"related-2901":45},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"search_phrases":30,"slug":33,"view_count":34,"doi":8,"paper":35,"created_at":44},2901,"AgriScope:面向农业图像的像素级多模态理解统一框架,arXiv 2609.20325(预印本)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.20325","Boudiaf、Alanssari、Hussain、Javed提出AgriScope,一个统一的像素级多模态农业图像理解框架,联合支持图像级、区域级、像素级理解,可实现接地描述生成、指代表达分割、多轮多模态交互等任务。集成生物专用语义表征、密集空间表征与像素解码;引入大规模像素级农业多模态指令调优数据集AgriGround,包含50万+图像和1100万+指令跟随样本,涵盖植物病害分析、作物与杂草识别、昆虫识别、细粒度植物理解。实验表明AgriScope在多项农业视觉语言任务上有效。",null,"arXiv (preprint)","2026-09-17T00:00:00Z","论文",10,false,75,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,8,9,1,"提出统一像素级农业多模态理解框架并开源50万图像、1100万指令样本的大规模数据集，方法新颖、数据规模突出，但为arXiv预印本、未经同行评审，权威性有限，值得作为前沿技术动态精选。",[23],{"name":9,"url":6},[25,26,27,28,29],"智慧农业","农业人工智能","农业遥感","植物病害识别","多模态大模型",[31,32],"AgriScope 农业图像 多模态","AgriGround 像素级 农业数据集","AgriScope农业图像多模态-2901",0,{"doi":8,"openalex_id":8,"authors":36,"venue":8,"cited_by_count":34,"oa_url":8,"card":37,"direction":41,"ingested_from":43},[],{"tldr":38,"method":39,"finding":40,"direction":41,"opportunity":42},"提出AgriScope统一框架，实现农业图像像素级多模态理解与多任务交互。","构建AgriGround数据集（50万+图像、1100万+指令样本），融合语义与","AgriScope在接地描述、指代分割、多轮交互等农业视觉语言任务上有效。","农业人工智能与决策模型","可探索像素级多模态模型在田间实时病害诊断与精准施药决策中的落地与轻量化。","agent","2026-09-19T00:06:08.678379Z",{"total":46,"page":20,"page_size":46,"items":47},6,[48,78,123,174,197,239],{"id":49,"title":50,"url":51,"summary":52,"summary_zh":8,"content":8,"source_name":53,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":54,"score_detail":55,"sources":60,"tags":62,"search_phrases":65,"slug":68,"view_count":34,"doi":8,"paper":69,"created_at":77},2858,"农业视觉感知综述:基于4D混沌和Mamba网络的新颖隐私保护框架——Frontiers in Plant Science 9月17日","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-9\u002F20260917000338095.htm","基于冬小麦-夏玉米双季种植系统的长期定位田间试验,氮肥后效对土壤-作物协调及微生物功能的调控机制尚不明确。试验设置四个处理:CK(小麦季和玉米季均不施氮)、W1M0(仅在冬小麦季施氮)、W0M1(仅在夏玉米季施氮)、W1M1(小麦季和玉米季均施氮)。与不施氮对照(CK)相比,W1M0和W0M1分别使平均年产量提高45.7%和42.2%,而W1M1提高58.6%。PLS-SEM揭示,前茬小麦季土壤氮含量解释了后茬玉米土壤理化性质97.5%的方差。","Frontiers in Plant Science \u002F 生物通",78,{"impact":16,"substance":56,"depth":57,"authority":58,"freshness":12,"relevant":20,"comment":59},20,17,13,"该文提出基于4D混沌与Mamba网络的农业视觉感知隐私保护框架，方法新颖且属农业人工智能前沿交叉方向，信源为核心期刊，时效性强，具备进入每日精选的价值。",[61],{"name":53,"url":51},[25,26,27,63,64],"作物表型","隐私保护",[66,67],"农业人工智能 作物表型 农业遥感 智慧农业","农业人工智能 作物表型","农业人工智能作物表型农业遥感智慧农业-2858",{"doi":8,"openalex_id":8,"authors":70,"venue":8,"cited_by_count":34,"oa_url":8,"card":71,"direction":75,"ingested_from":43},[],{"tldr":72,"method":73,"finding":74,"direction":75,"opportunity":76},"通过长期定位试验研究氮肥后效对冬小麦-夏玉米轮作系统土壤-作物协调及微生物功能的调控机制。","长期定位田间试验，设置四种施氮处理，结合PLS-SEM分析。","双季施氮年产量提高58.6%，前茬小麦季土壤氮解释后茬玉米土壤理化性质97.5%的方差。","农业绿色发展与碳","可探究氮肥后效对土壤微生物功能及碳氮循环的长期影响，优化轮作施氮策略。","2026-09-18T00:03:31.115969Z",{"id":79,"title":80,"url":81,"summary":82,"summary_zh":83,"content":8,"source_name":84,"source_url":81,"published_at":85,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":86,"score_detail":87,"sources":90,"tags":92,"search_phrases":95,"slug":98,"view_count":34,"doi":99,"paper":100,"created_at":122},2798,"Deep Learning-Based Small-Object Detection in UAV Imagery: A Symmetry-Informed Review of Scale Variation and Scenario Constraints","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsym18091548","As UAV platforms are increasingly employed in military reconnaissance, disaster monitoring, precision agriculture, and other remote-sensing applications, small-object detection in UAV imagery is a critical yet challenging task. Existing reviews primarily address either general small-object detection or general object detection in UAV imagery, whereas reviews specifically devoted to small-object detection in UAV imagery remain scarce. This review examines existing deep learning-based research on small-object detection in UAV imagery from a problem-driven and deployment-oriented perspective. A symmetry-informed perspective was also adopted to analyze how variations in object-scale, viewpoint, imaging quality, and scene conditions affected feature representation and detection stability. Building on five major challenges in UAV small-object detection, a three-tier framework encompassing detection paradigms, key technical strategies, and scenario-specific constraints was established. Representative UAV datasets were further examined to characterize object-scale distributions, while existing methods were reviewed in terms of multiscale representation, feature enhancement, training optimization, and lightweight deployment. The applicability of different technical approaches was then discussed across five typical UAV scenarios. In addition, under relatively consistent experimental conditions, representative detection models based on two-stage, one-stage, and Transformer-based paradigms were analyzed in terms of detection accuracy, computational efficiency, and deployment feasibility. Finally, current limitations and future directions were summarized for scale-robust, scenario-adaptive, and resource-aware small-object detection in UAV imagery.","随着无人机平台在军事侦察、灾害监测、精准农业等遥感应用中的日益普及，无人机图像中的小目标检测成为一项关键但具有挑战性的任务。现有综述主要关注通用小目标检测或无人机图像中的通用目标检测，而专门针对无人机图像中小目标检测的综述仍然匮乏。本综述从问题驱动和部署导向的视角，审视了现有的基于深度学习的无人机图像小目标检测研究。同时采用对称性视角，分析了目标尺度、视角、成像质量和场景条件的变化如何影响特征表示和检测稳定性。基于无人机小目标检测中的五大挑战，构建了一个涵盖检测范式、关键技术策略和场景特定约束的三层框架。进一步考察了代表性无人机数据集以刻画目标尺度分布，同时从多尺度表示、特征增强、训练优化和轻量化部署等方面综述了现有方法。随后讨论了不同技术方法在五种典型无人机场景中的适用性。此外，在相对一致的实验条件下，对基于两阶段、单阶段和Transformer范式的代表性检测模型在检测精度、计算效率和部署可行性方面进行了分析。最后，总结了当前局限性及未来方向，以推动无人机图像中尺度鲁棒、场景自适应和资源感知的小目标检测研究。","Symmetry","2026-09-16T00:00:00Z",76,{"impact":88,"substance":56,"depth":16,"authority":58,"freshness":19,"relevant":20,"comment":89},16,"无人机小目标检测的系统性综述，提出对称性视角与三层框架，对农业遥感与精准农业部署有实质参考价值。",[91],{"name":84,"url":81},[25,93,26,27,94],"无人机","目标检测",[96,97],"农业人工智能 农业遥感 智慧农业 目标检测","农业人工智能 农业遥感","农业人工智能农业遥感智慧农业目标检测-2798","10.3390\u002Fsym18091548",{"doi":99,"openalex_id":101,"authors":102,"venue":84,"cited_by_count":34,"oa_url":81,"card":115,"direction":119,"ingested_from":121},"W7213430256",[103,105,108,110,112],{"name":104,"orcid":8},"Ling Wen",{"name":106,"orcid":107},"Anmin Gong","https:\u002F\u002Forcid.org\u002F0000-0002-2715-2296",{"name":109,"orcid":8},"Caihong Ma",{"name":111,"orcid":8},"Shengzhou Ma",{"name":113,"orcid":114},"Yanzhe Zhang","https:\u002F\u002Forcid.org\u002F0009-0008-6529-1247",{"tldr":116,"method":117,"finding":118,"direction":119,"opportunity":120},"综述无人机图像小目标检测的深度学习研究，提出对称性视角与三层框架。","文献综述，分析代表性数据集与两阶段、单阶段、Transformer模型。","尺度变化和场景约束是核心挑战，需尺度鲁棒、场景自适应和资源感知检测。","农业遥感与作物表型","可探索农业场景下尺度自适应与轻量化部署的平衡，以及跨场景泛化的小目标检测。","openalex","2026-09-17T23:30:37.479759Z",{"id":124,"title":125,"url":126,"summary":127,"summary_zh":128,"content":8,"source_name":129,"source_url":126,"published_at":130,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":131,"score_detail":132,"sources":137,"tags":139,"search_phrases":143,"slug":146,"view_count":34,"doi":147,"paper":148,"created_at":173},2775,"Digital-enabled life cycle thinking for sustainable food systems: aligning with sustainable development goals","https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-63273-w","The increasing complexity of global food systems, coupled with climate change, resource scarcity, and socio-economic pressures, necessitates advanced sustainability assessment approaches. While life cycle thinking (LCT) provides a comprehensive framework, its practical application is constrained by data limitations, methodological uncertainty, and the limited ability of conventional models to capture dynamic operational conditions. This study proposes a digitally integrated LCT framework that combines artificial intelligence (AI), blockchain, internet of things (IoT), and remote sensing to enhance data accuracy, transparency, and real-time decision-making in food supply chains. A key contribution of this research is the introduction of two novel constructs, the digital trust index (DTI) and proof-of-climate impact (PCI) which quantify stakeholder trust and provide verifiable evidence linking digital interventions to measurable environmental outcomes. The DTI is conceptualized as a composite measure of stakeholder trust, integrating both digital infrastructure capabilities and governance-based trust mechanisms. Scenario analysis demonstrates that integrated digital and governance systems can achieve up to 34% climate impact reduction (CIR), while Monte Carlo simulation results indicate an average CIR of approximately 20%, confirming the robustness of the framework under uncertainty. The study reveals that SDG 12 (23%) and SDG 9 (20%) dominate digital LCT research in food systems, followed by SDG 2 and SDG 13, while biodiversity-focused goals (SDG 14 & SDG 15) receive less attention. The proposed SDG oriented framework integrates digital technologies across LCT phases, enabling real-time and transparent sustainability assessment while enhancing the monitoring of biodiversity impacts. The findings highlight that digitalization, when coupled with governance and sustainable development goal-oriented metrics, enables more transparent, adaptive, and impact-driven sustainability assessment in food systems.","全球粮食系统日益复杂，加之气候变化、资源稀缺和社会经济压力，迫切需要先进的可持续性评估方法。尽管生命周期思维（LCT）提供了全面的框架，但其实际应用受到数据限制、方法学不确定性以及传统模型捕捉动态运行条件能力有限的制约。本研究提出了一种数字化集成的LCT框架，将人工智能（AI）、区块链、物联网（IoT）和遥感相结合，以提升食品供应链中的数据准确性、透明度和实时决策能力。本研究的一项关键贡献是引入了两个新颖构念——数字信任指数（DTI）和气候影响证明（PCI），用以量化利益相关者信任，并提供可验证的证据，将数字干预与可衡量的环境成果相联系。DTI被概念化为利益相关者信任的综合度量，整合了数字基础设施能力和基于治理的信任机制。情景分析表明，集成的数字与治理系统可实现高达34%的气候影响减排（CIR），而蒙特卡洛模拟结果显示平均CIR约为20%，证实了该框架在不确定性下的稳健性。研究揭示，SDG 12（23%）和SDG 9（20%）在食品系统中的数字LCT研究中占主导地位，其次是SDG 2和SDG 13，而聚焦生物多样性的目标（SDG 14和SDG 15）受到的关注较少。所提出的面向SDG的框架将数字技术整合到LCT各阶段，实现实时、透明的可持续性评估，同时增强对生物多样性影响的监测。研究结果表明，数字化在与治理和面向可持续发展目标的指标相结合时，能够在食品系统中实现更透明、更具适应性和以影响为导向的可持续性评估。","Scientific Reports","2026-09-15T00:00:00Z",86,{"impact":17,"substance":133,"depth":134,"authority":135,"freshness":18,"relevant":20,"comment":136},23,19,14,"提出数字信任指数与气候影响证明等新构念，量化数字技术对食物系统可持续性的减排贡献，方法新颖、结论可靠，对农业信息化与绿色转型具有较强参考价值。",[138],{"name":129,"url":126},[25,26,27,140,141,142],"可持续发展","区块链溯源","食物系统",[144,145],"农业人工智能 区块链溯源 可持续发展 农业遥感","农业人工智能 区块链溯源","农业人工智能区块链溯源可持续发展农业遥感-2775","10.1038\u002Fs41598-026-63273-w",{"doi":147,"openalex_id":149,"authors":150,"venue":129,"cited_by_count":34,"oa_url":166,"card":167,"direction":172,"ingested_from":121},"W7213239181",[151,153,156,158,160,163],{"name":152,"orcid":8},"S. U. Parvathy",{"name":154,"orcid":155},"Vysakh Kani Kolil","https:\u002F\u002Forcid.org\u002F0000-0003-2035-3439",{"name":157,"orcid":8},"Raghu Raman",{"name":159,"orcid":8},"Nripendra P. Rana",{"name":161,"orcid":162},"Sasangan Ramanathan","https:\u002F\u002Forcid.org\u002F0000-0002-7459-0934",{"name":164,"orcid":165},"Krishnashree Achuthan","https:\u002F\u002Forcid.org\u002F0000-0003-2618-0882","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41598-026-63273-w_reference.pdf",{"tldr":168,"method":169,"finding":170,"direction":75,"opportunity":171},"提出融合AI、区块链、物联网与遥感的数字生命周期思维框架，用于食品系统可持续性评估。","整合AI、区块链、IoT与遥感，构建数字信任指数和气候影响证明，用情景分析与蒙特","数字与治理结合可使气候影响降低最高34%，平均约20%；SDG12和SDG9主导相关研究。","可探索数字信任指数与气候影响证明在农业食品供应链中的实证验证及生物多样性目标监测。","智慧农业 \u002F 农业物联网","2026-09-17T23:30:15.308110Z",{"id":175,"title":176,"url":177,"summary":178,"summary_zh":8,"content":179,"source_name":180,"source_url":8,"published_at":130,"category":181,"cover_url":8,"hotness":12,"is_selected":13,"score":182,"score_detail":183,"sources":187,"tags":189,"search_phrases":192,"slug":195,"view_count":34,"doi":8,"paper":8,"created_at":196},2713,"黑龙江省农科院遥信所深耕人工智能赋能龙江发展——构建寒地农业高质量数据体系","https:\u002F\u002Ffinance.sina.com.cn\u002Fjjxw\u002F2026-09-16\u002Fdoc-inirzmyw2852822.shtml","黑龙江省农业科学院农业遥感与信息研究所所长郑妍妍介绍,黑龙江省农科院在人工智能+农业领域开展实践探索:依托大数据中心开展农业数据汇通管用全链条研究,构建长时间序列、多时空分辨率、覆盖寒地主要粮食作物全生育期的作物表型、土壤、气象、病虫害等于一体的寒地农业高质量数据体系。","*   [新浪首页](http:\u002F\u002Fwww.sina.com.cn\u002F)\n*   [新闻](http:\u002F\u002Fnews.sina.com.cn\u002F)\n*   [体育](http:\u002F\u002Fsports.sina.com.cn\u002F)\n*   [财经](http:\u002F\u002Ffinance.sina.com.cn\u002F)\n*   [娱乐](http:\u002F\u002Fent.sina.com.cn\u002F)\n*   [科技](http:\u002F\u002Ftech.sina.com.cn\u002F)\n*   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广告](https:\u002F\u002Fn.sinaimg.cn\u002Fnews\u002F42f7389d\u002F20190523\u002FJiJin300x250.jpg)](http:\u002F\u002Fsaxn.sina.com.cn\u002Fclick?type=bottom&t=UERQUzAwMDAwMDA0NDA5OQ%3D%3D&url=https%3A%2F%2Ffinance.sina.com.cn%2Fmobile%2Fcomfinanceweb.shtml%3Fsource%3DPDPS000000044099&sign=e32b776cb8255330)\n\n郑妍妍介绍，近年来，黑龙江省农业科学院在“人工智能+农业”领域做出一些实践探索。依托黑龙江省农业科学院大数据中心，开展农业数据“汇、通、管、用”全链条研究，运用人工智能算法，实现多源数据自动化清洗、处理及入库，构建了长时间序列、多时空分辨率、覆盖寒地主要粮食作物全生育期的作物表型、土壤、气象、病虫害等于一体的寒地农业高质量数据体系，为农情监测、生产管理、科研创新提供数据支撑。\n\n在智慧种植领域，依托“天空地”一体化农情监测体系，实现省内主要粮食作物种植结构、长势、旱情等动态监测；通过人工智能模型，生成变量施肥、施药处方图，指导无人机、农机精准作业，推动农业生产从经验决策向精准决策转变。\n\n郑妍妍表示，未来，黑龙江省农业科学院将立足龙江现代化大农业发展需求，持续加强农业高质量数据体系建设及深度开发利用，推动大数据、人工智能等前沿信息技术与寒地农业深度融合，着力培养农业数智化复合型人才队伍，打通“科研攻关—中试熟化—示范推广—技术服务”全链条，联合高校、头部企业，做好寒地农业大模型、智能体场景泛化，把科研成果转化成田间地头实用的农业生产解决方案。\n\n编辑：穆皓\n\n![Image 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23](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Faf8389dbf6f15fc75888f5e30d52f04a.png)开播时间 | 9-16 19:00\n\n##### 中金财富 【财富与美】 丝路寻美 | 「财富与美」第七季第2期\n\n![Image 24](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Fe4dbb1c8ba4cba37c1899bdf70cb55f9.png)开播时间 | 9-16 16:00\n\n##### 光大证券：科技股盘中大涨，半导体成焦点\n\n![Image 25](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Ff7e8099b3c85d3232812f1b82f82829b.png)开播时间 | 9-16 15:30\n\n##### 博时基金 ：金价“过山车”，加息预期下黄金何去何从？\n\n![Image 26](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002F59476aebd7575c279f646754d0d525de.png)开播时间 | 9-16 15:30\n\n##### 长城基金：深度解码：中证工业有色金属主题指数\n\n![Image 27](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002F9079d292cae507692fe40491d498a51c.png)开播时间 | 9-16 15:30\n\n##### 华安基金：【指数大学堂】创业板50十周年：中国核心科技资产解读\n\n![Image 28](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002F523705adf2ba75f335baabcc071ff426.png)开播时间 | 9-16 15:30\n\n##### 华宝基金 【每周策略】 BD出海持续爆发！港股创新药投资窗口打开？\n\n![Image 29](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Fae0b2efe96751439152bbecfacad3158.png)开播时间 | 9-16 15:00\n\n##### 中信期货：锌价年内新高，后续走势如何？\n\n![Image 30](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Fcb21d6d0e5d009b2ee941531ea991108.png)开播时间 | 9-16 15:00\n\n##### 富国基金：超长假期临近！旅游板块有机会吗?\n\n![Image 31](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Ff88de81f7670aede9b2cb04d20876ccf.png)开播时间 | 9-16 15:00\n\n##### 国泰海通：议息前夕，如何布局\n\n![Image 32](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Fdef40553a80f745850da8fa5f4a0851b.png)开播时间 | 9-16 14:00\n\n##### 2026广西国际消费季暨汽车出海合作交流活动\n\n![Image 33](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Faf8389dbf6f15fc75888f5e30d52f04a.png)开播时间 | 9-16 19:00\n\n##### 中金财富 【财富与美】 丝路寻美 | 「财富与美」第七季第2期\n\n![Image 34](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Fe4dbb1c8ba4cba37c1899bdf70cb55f9.png)开播时间 | 9-16 16:00\n\n##### 光大证券：科技股盘中大涨，半导体成焦点\n\n![Image 35](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Ff7e8099b3c85d3232812f1b82f82829b.png)开播时间 | 9-16 15:30\n\n##### 博时基金 ：金价“过山车”，加息预期下黄金何去何从？\n\n![Image 36](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002F59476aebd7575c279f646754d0d525de.png)开播时间 | 9-16 15:30\n\n##### 长城基金：深度解码：中证工业有色金属主题指数\n\n![Image 37](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002F9079d292cae507692fe40491d498a51c.png)开播时间 | 9-16 15:30\n\n##### 华安基金：【指数大学堂】创业板50十周年：中国核心科技资产解读\n\n![Image 38](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002F523705adf2ba75f335baabcc071ff426.png)开播时间 | 9-16 15:30\n\n##### 华宝基金 【每周策略】 BD出海持续爆发！港股创新药投资窗口打开？\n\n![Image 39](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Fae0b2efe96751439152bbecfacad3158.png)开播时间 | 9-16 15:00\n\n##### 中信期货：锌价年内新高，后续走势如何？\n\n![Image 40](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Fcb21d6d0e5d009b2ee941531ea991108.png)开播时间 | 9-16 15:00\n\n##### 富国基金：超长假期临近！旅游板块有机会吗?\n\n![Image 41](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Ff88de81f7670aede9b2cb04d20876ccf.png)开播时间 | 9-16 15:00\n\n##### 国泰海通：议息前夕，如何布局\n\n![Image 42](https:\u002F\u002Frls3.cj.sina.com.cn\u002Fproducts\u002F202609\u002Fdef40553a80f745850da8fa5f4a0851b.png)开播时间 | 9-16 14:00\n\n##### 2026广西国际消费季暨汽车出海合作交流活动\n\n[上一页](javascript:;)[下一页](javascript:;)\n\n1\u002F10\n\n## 热门推荐\n\n亚运男足首战，U23国足2比1战胜朝鲜 _收起_\n\n![Image 43: 京东快递小哥救助摔倒老人反被索赔92万元，终审判决还他清白！](https:\u002F\u002Ffinance.sina.com.cn\u002Fjjxw\u002F2026-09-16\u002Fdoc-inirzmyw2852822.shtml)\n\n#### 亚运男足首战，U23国足2比1战胜朝鲜\n\n*   2026年09月16日\n*   11:51\n*   APP专享\n*   扒圈小记\n*   ![Image 44](https:\u002F\u002Fn.sinaimg.cn\u002Ffinance\u002Fpctianyi_wdg\u002Fsrc\u002Fimages\u002Ficon-cmnt.png)1,237\n\nAPP专享\n\n![Image 45: 京东快递小哥救助摔倒老人反被索赔92万元，终审判决还他清白！](https:\u002F\u002Ffinance.sina.com.cn\u002Fjjxw\u002F2026-09-16\u002Fdoc-inirzmyw2852822.shtml)\n\n#### 情况通报！四川茂县突发山体滑坡\n\n*   2026年09月16日\n*   08:05\n*   APP专享\n*   扒圈小记\n*   ![Image 46](https:\u002F\u002Fn.sinaimg.cn\u002Ffinance\u002Fpctianyi_wdg\u002Fsrc\u002Fimages\u002Ficon-cmnt.png)1,000\n\nAPP专享\n\n![Image 47: 京东快递小哥救助摔倒老人反被索赔92万元，终审判决还他清白！](https:\u002F\u002Ffinance.sina.com.cn\u002Fjjxw\u002F2026-09-16\u002Fdoc-inirzmyw2852822.shtml)\n\n#### 京东快递小哥救助摔倒老人反被索赔92万元，终审判决还他清白！\n\n*   2026年09月16日\n*   08:08\n*   APP专享\n*   林羽\n*   ![Image 48](https:\u002F\u002Fn.sinaimg.cn\u002Ffinance\u002Fpctianyi_wdg\u002Fsrc\u002Fimages\u002Ficon-cmnt.png)917\n\nAPP专享\n\n![Image 49: 新浪财经公众号](https:\u002F\u002Fn.sinaimg.cn\u002Ffinance\u002F72219a70\u002F20180103\u002F_thumb_23666.png)\n\n新浪财经公众号\n24小时滚动播报最新的财经资讯和视频，更多粉丝福利扫描二维码关注（sinafinance）\n\n[相关新闻](javascript:;)\n\n[财经头条作者库](https:\u002F\u002Ffinance.sina.com.cn\u002Fcj\u002Fauthorlist.shtml?fr=pc_finarticle)\n\n## [投资研报](https:\u002F\u002Fdaxue.sina.cn\u002Fcategory\u002F130)扫码订阅\n\n*   [新能源大批并网拉动特高压建设、新型电网建设，拉动一、二次设备放量！把握小动力与储能大动力扩容趋势；布局商业航天与具身智能零部件](https:\u002F\u002Fdaxue.sina.cn\u002Fdetail\u002Fgraphics\u002F1a3971a466489e1796dc092794f59956\u002F3c4f32e5cd81)09-16 13:17[火线电报会员专享](https:\u002F\u002Fdaxue.sina.cn\u002Fcolumn\u002F1a3971a466489e1796dc092794f59956)\n*   [算力与AI共振，提振光纤需求！光模块&半导体启新程；硅烷功能性助剂龙头，电子级应用突破；光纤、光芯片、超导驱动，光通信+可控核聚变](https:\u002F\u002Fdaxue.sina.cn\u002Fdetail\u002Fgraphics\u002Ff5443bd63a8b4e858b9225ffa008a6c6\u002F3f2cfc03d074)09-16 12:43[会选股会员专享](https:\u002F\u002Fdaxue.sina.cn\u002Fcolumn\u002Ff5443bd63a8b4e858b9225ffa008a6c6)\n*   [科技行业Anthropic是如何炼成的！铜连接订单新突破+碳化硅衬底突破大尺寸；半导体打开成长空间；动储营收大幅成长，AIDC打开新预期](https:\u002F\u002Fdaxue.sina.cn\u002Fdetail\u002Fgraphics\u002F1a3971a466489e1796dc092794f59956\u002F678847e69c75)09-16 12:07[火线电报会员专享](https:\u002F\u002Fdaxue.sina.cn\u002Fcolumn\u002F1a3971a466489e1796dc092794f59956)\n\n## [](http:\u002F\u002Flive.finance.sina.com.cn\u002F)[股市直播](http:\u002F\u002Flive.finance.sina.com.cn\u002F)\n\n*   图文直播间\n*   视频直播间\n\n*   [![Image 50: 东方红老陈](https:\u002F\u002Ftvax1.sinaimg.cn\u002Fcrop.0.0.600.600.180\u002F6fe7ef8dly8i6y0x364nlj20go0goq3u.jpg)### 东方红老陈 2026-09-16 23:51:53 【情绪热点短线策略】（情绪+趋势+风口）1、光通信和CPO：美股光通信涨的不错，A股中小盘光通信走势好，游资主导，不追涨，做低吸策略，重点看CPO交换机和硅光设备。2、PCB和电容：以中小盘为主，游资主导行情，别大幅度追涨，做潜力轮动或低吸。3、半导体：也是以中小盘为主，游资主导行情，短线策略，不追涨。4、近端次新科技：近期上市次新科技质地优秀，被低估较多，有整体走强迹象，适合低吸策略。](http:\u002F\u002Flive.finance.sina.com.cn\u002Fbozhu\u002F1877471117)\n*   [![Image 51: 东方红老陈](https:\u002F\u002Ftvax1.sinaimg.cn\u002Fcrop.0.0.600.600.180\u002F6fe7ef8dly8i6y0x364nlj20go0goq3u.jpg)### 东方红老陈 2026-09-16 23:51:38 2026.9.17【中线波段持股策略】（业绩+趋势+风口）1、科技成长方向：中长期继续看好硬科技赛道，AI算力硬件、半导体、人形机器人（sz300024）、商业航天、固态电池。2、中线标准持仓40%，保守30%，激进50%。3、国内经济数据已经公布，没有利好，消费继续下滑，对A股基本格局就是负面没有办法支撑上涨，除非加大力度放水和刺激政策出现。4、美股加息25个基点落地，道指大跌，纳指没跌，半导体光通信小涨，预计对A股整体负面，但是科技不影响，当下依然是风险第一，赚钱第二。](http:\u002F\u002Flive.finance.sina.com.cn\u002Fbozhu\u002F1877471117)\n*   [![Image 52: 数字江恩](https:\u002F\u002Fk.sinaimg.cn\u002Fn\u002Ffinance\u002Fac791ff8\u002F20201116\u002FShuZiJiangEn.png\u002Fw120h120f1q80liv.png)### 数字江恩 2026-09-16 23:46:53 今天和明天都有议息消息面影响，今天是盘前公布，明天是盘中中午公布。市场对这些消息面已经交易过了，所以不会有结构上的影响，只是影响一些分时运动而已。大盘今天早盘有回落是毫无疑问的，日内关键看3867支撑。这个支撑不破，大盘还要再冲击3900点区间，总的来说，今天都无法突破3995-3980轮峰线，这条线目前3925。大盘在3867以上，其实还是强势区间，还可以在尝试冲高，虽然高度有限，毕竟是强势。反之，跌破3867后，再次回踩依旧3850区间接着。3867是细分点位，本质都是3850支撑修复上周五下跌结构。修复核心是看压力3995-3980轮峰线，正常都是需要修复到下周才结束。至于修复震荡完毕后的突破方向，下周当下看肯定更为准确，要预判，则是所有消息面落地后，向上。这最后一句和目前无关，下周当下更准确，只是告诉大家，不必对大势悲观。](http:\u002F\u002Flive.finance.sina.com.cn\u002Fbozhu\u002F2342117515)\n*   [![Image 53: 东方红老陈](https:\u002F\u002Ftvax1.sinaimg.cn\u002Fcrop.0.0.600.600.180\u002F6fe7ef8dly8i6y0x364nlj20go0goq3u.jpg)### 东方红老陈 2026-09-16 23:46:08 马斯克再次暗示，他麾下的“两大王牌”：特斯拉和SpaceX之间可能会深化合作，甚至合并。](http:\u002F\u002Flive.finance.sina.com.cn\u002Fbozhu\u002F1877471117)\n*   [![Image 54: 东方红老陈](https:\u002F\u002Ftvax1.sinaimg.cn\u002Fcrop.0.0.600.600.180\u002F6fe7ef8dly8i6y0x364nlj20go0goq3u.jpg)### 东方红老陈 2026-09-16 23:45:42 Meta首席执行官扎克伯格表示，AI实验室应通过独立评估者和顾问加强模型安全，而不是通过协调行动放缓AI开发。](http:\u002F\u002Flive.finance.sina.com.cn\u002Fbozhu\u002F1877471117)\n*   [![Image 55: 东方红老陈](https:\u002F\u002Ftvax1.sinaimg.cn\u002Fcrop.0.0.600.600.180\u002F6fe7ef8dly8i6y0x364nlj20go0goq3u.jpg)### 东方红老陈 2026-09-16 23:43:29 沙特、阿联酋、卡塔尔、巴林、阿曼等多国央行纷纷宣布加息25个基点。巴西将基准贷款利率下调25个基点至13.75%。](http:\u002F\u002Flive.finance.sina.com.cn\u002Fbozhu\u002F1877471117)\n*   [![Image 56: 东方红老陈](https:\u002F\u002Ftvax1.sinaimg.cn\u002Fcrop.0.0.600.600.180\u002F6fe7ef8dly8i6y0x364nlj20go0goq3u.jpg)### 东方红老陈 2026-09-16 23:43:10 【美联储点阵图：有16位官员预计2026年应再加息】财联社9月17日电，美联储17日宣布加息25个基点，为2026年的首次加息。美联储最新的点阵图显示，19名官员中有18人提交了点阵图预测（与6月一致），其中有16人认为今年应再次加息。具体来看，有4位官员认为2026年应累计加息75个基点（6月为1位），有12位官员认为应累计加息50个基点（6月为5位），有2位官员认为应累计加息25个基点（6月为3位），有0位官员认为今年应维持3.5%-3.75%的利率不变（6月为8位），有0位官员认为应累计降息25个基点（6月为1位）。](http:\u002F\u002Flive.finance.sina.com.cn\u002Fbozhu\u002F1877471117)\n*   [![Image 57: 东方红老陈](https:\u002F\u002Ftvax1.sinaimg.cn\u002Fcrop.0.0.600.600.180\u002F6fe7ef8dly8i6y0x364nlj20go0goq3u.jpg)### 东方红老陈 2026-09-16 23:42:50 【美联储加息25个基点 为2023年7月以来首次加息】财联社9月17日电，美联储宣布将联邦基金利率目标区间上调25个基点，将基准利率上调至3.75%-4.00%。这是美联储自2023年7月以来首次加息。决策者们一致通过了该决定。美联储表示此举将推动通胀更快回归2%的目标。](http:\u002F\u002Flive.finance.sina.com.cn\u002Fbozhu\u002F1877471117)\n*   [![Image 58: 东方红老陈](https:\u002F\u002Ftvax1.sinaimg.cn\u002Fcrop.0.0.600.600.180\u002F6fe7ef8dly8i6y0x364nlj20go0goq3u.jpg)### 东方红老陈 2026-09-16 23:42:13 交易员加大对美联储年底前再加息两次的押注。](http:\u002F\u002Flive.finance.sina.com.cn\u002Fbozhu\u002F1877471117)\n*   [![Image 59: 东方红老陈](https:\u002F\u002Ftvax1.sinaimg.cn\u002Fcrop.0.0.600.600.180\u002F6fe7ef8dly8i6y0x364nlj20go0goq3u.jpg)### 东方红老陈 2026-09-16 23:41:20 【美联储3年来首次加息 美股三大指数集体收跌、道指创6月中旬以来收盘新低】财联社9月17日电，美联储3年来首次加息，沃什重申通胀过高且持续太久。美股三大指数集体收跌，道指跌1.21%，创6月中旬以来收盘新低；标普500指数跌0.44%，纳指跌0.01%。KBW银行股指数收跌2.9%，为2月以来最大跌幅。加密货币概念股普跌，Circle跌超6%，Robinhood跌超5%，Coinbase跌超4%，Bitmine跌超3%，Strategy跌逾2%。SpaceX涨超5%，马斯克再次释放信号称，特斯拉和SpaceX或合并。JB Hunter跌超13%，创2020年3月份以来最大单日跌幅。部分光通信、存储芯片股上涨，Lumentum涨超9%，Coherent涨超6%，迈威尔科技、英特尔涨超3%。](http:\u002F\u002Flive.finance.sina.com.cn\u002Fbozhu\u002F1877471117)\n\n[更多>](http:\u002F\u002Flive.finance.sina.com.cn\u002F)\n\n*   [最近访问](http:\u002F\u002Ffinance.sina.com.cn\u002Frealstock\u002Fcompany\u002Fsh000001\u002Fnc.shtml)\n*   [我的自选](http:\u002F\u002Fwatchlist.finance.sina.com.cn\u002Fportfolio\u002Fview\u002Fmain.php)\n\n股票简称 最新价 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for topology restoration and automated mapping of fragmented mulch films in UAV imagery。Computers and Electronics in Agriculture","面向无人机影像中破碎地膜拓扑恢复与自动制图的边界感知双流网络。《农业计算机与电子》","Computers and Electronics in Agriculture",77,{"impact":88,"substance":56,"depth":57,"authority":135,"freshness":12,"relevant":20,"comment":206},"发表于农业信息领域核心期刊的无人机遥感地膜碎片识别与制图新方法，方法新颖、结论可靠，对农田残膜监测与治理具有实用价值。",[208],{"name":203,"url":200},[25,93,26,27,210],"地膜回收",[212,97],"农业人工智能 农业遥感 地膜回收 智慧农业","农业人工智能农业遥感地膜回收智慧农业-2614","10.1016\u002Fj.compag.2026.112428",{"doi":214,"openalex_id":216,"authors":217,"venue":203,"cited_by_count":34,"oa_url":8,"card":233,"direction":119,"ingested_from":121},"W7213282871",[218,220,222,224,227,230],{"name":219,"orcid":8},"Penglei Yan",{"name":221,"orcid":8},"Sumin Lv",{"name":223,"orcid":8},"Xuan Li",{"name":225,"orcid":226},"Jianan Chi","https:\u002F\u002Forcid.org\u002F0009-0004-2943-1565",{"name":228,"orcid":229},"Xiao Zhang","https:\u002F\u002Forcid.org\u002F0000-0003-0111-8089",{"name":231,"orcid":232},"Nannan Zhang","https:\u002F\u002Forcid.org\u002F0000-0003-2956-8815",{"tldr":234,"method":235,"finding":236,"direction":119,"opportunity":237},"提出边界感知双流网络，从无人机影像中恢复破碎地膜拓扑并自动制图。","边界感知双流网络，基于无人机影像进行地膜分割与拓扑修复。","该方法能有效恢复破碎地膜的拓扑结构，实现自动化制图。","可探索破碎地膜拓扑恢复在残膜回收决策与农田污染评估中的应用。","2026-09-16T23:30:01.821423Z",{"id":240,"title":241,"url":242,"summary":243,"summary_zh":8,"content":8,"source_name":244,"source_url":8,"published_at":245,"category":181,"cover_url":8,"hotness":12,"is_selected":13,"score":246,"score_detail":247,"sources":250,"tags":252,"search_phrases":255,"slug":257,"view_count":34,"doi":8,"paper":8,"created_at":258},2351,"'AI+'助力农林产业智变:2026服贸会集中展示智慧农业落地应用","https:\u002F\u002Fwww.farmer.com.cn\u002F2026\u002F09\u002F13\u002F991028309.html","2026年中国国际服务贸易交易会上，中粮集团展示玉米质量智能检验应用入选国资委首批央企人工智能战略性高价值场景；广西展示已在马来西亚榴莲主产区规模化落地的榴莲大模型；中国铁塔在北京西山试验林场构建空地一体林草防火监测体系，林上火情监控覆盖率提升至40%以上、重点林下区域达95%。","中国农网 | 2026-09-13","2026-09-13T00:00:00Z",82,{"impact":248,"substance":56,"depth":88,"authority":58,"freshness":19,"relevant":20,"comment":249},24,"服贸会集中展示AI在玉米质检、榴莲大模型、林草防火等场景的落地应用，案例具体、数据明确，具备产业级参考价值。",[251],{"name":244,"url":242},[25,26,27,253,254],"大模型","林草防火",[256,97],"农业人工智能 农业遥感 智慧农业 林草防火","农业人工智能农业遥感智慧农业林草防火-2351","2026-09-14T00:06:25.997866Z"]