[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3193":3,"related-3193":141},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":32,"secondary_topics":38,"classification":39,"search_phrases":110,"slug":113,"view_count":55,"doi":114,"paper":115,"created_at":140},3193,"Does Agricultural Unmanned Aerial Vehicle Use Improve Grain Production Efficiency? Evidence from Rural China","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodpol.2026.103196","Enhancing grain production efficiency (GPE) is critical for ensuring food security and promoting a more resource-efficient agricultural transformation, particularly in smallholder systems where conventional machinery faces scale and terrain constraints. China’s rapid adoption of agricultural Unmanned Aerial Vehicles (UAVs) offers an opportunity to assess whether digital machinery can improve efficiency without relying on farm expansion. Yet evidence on how UAV use intensity affects GPE, and on the conditions under which gains emerge, remains limited. Using data from 2,030 grain-producing households across nine provinces in the 2022 China Rural Revitalisation Survey, we measure GPE using a super-efficiency slacks-based measure model and estimate the effects of UAV use intensity. The results show a significant U-shaped relationship between UAV use intensity and GPE, with efficiency gains emerging only after UAV use intensity exceeds a certain threshold. UAV use affects GPE primarily through labour substitution and is nonlinearly associated with pesticide inputs. Besides, village-level agricultural service organisations strengthen the positive effects of UAV use, indicating that service provision complements the use of technology. The efficiency effects are stronger in western China and rice production systems, where conventional machinery is relatively constrained. These findings suggest that the benefits of agricultural UAVs depend not simply on adoption, but on sufficiently intensive use and supportive service institutions. Policies that expand access to UAV services and promote their effective integration into farm operations can improve factor allocation and grain production efficiency, especially in areas where conventional mechanisation is less adaptable. More broadly, these efforts can support agricultural digitalisation and sustainable agricultural modernisation.","提升粮食生产效率（GPE）对于保障粮食安全和推动资源节约型农业转型至关重要，尤其是在常规机械面临规模和地形约束的小农户体系中。中国农业无人机（UAV）的快速普及，为评估数字机械能否在不依赖农场规模扩大的情况下提升效率提供了契机。然而，关于无人机使用强度如何影响粮食生产效率以及增益在何种条件下显现的证据仍然有限。基于2022年中国乡村振兴调查中九个省份2030个粮食种植户的数据，我们采用超效率松弛测度模型测算粮食生产效率，并估计无人机使用强度的影响。结果表明，无人机使用强度与粮食生产效率之间呈显著的U型关系，效率增益仅在无人机使用强度超过一定阈值后才会显现。无人机使用主要通过劳动替代影响粮食生产效率，并与农药投入呈非线性关联。此外，村级农业服务组织强化了无人机使用的正向效应，表明服务供给与技术使用具有互补性。效率效应在中国西部和水稻生产体系中更强，这些地区常规机械受约束相对较大。这些发现表明，农业无人机的效益不仅取决于是否采用，还取决于足够密集的使用和支持性服务制度。扩大无人机服务可及性并促进其有效融入农场经营的政策，可以改善要素配置和粮食生产效率，尤其是在常规机械化适应性较差的地区。更广泛而言，这些努力能够支持农业数字化和可持续农业现代化。",null,"Food 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智慧农业与小农户有机衔接","https:\u002F\u002Fwww.thepaper.cn\u002FnewsDetail_forward_34116699","专家解读文章指出：近年来农机北斗终端实现快速规模化推广，截至2025年底累计推广超350万台套。各类农业社会化服务组织加速布点，通过集采智能装备、统一调度作业、提供菜单式服务，将智能农机、无人机植保、精准施肥等先进技术和装备转化为小农户点单即享的标准化服务。十五五时期是基本实现农业农村现代化的关键时期，《加快农业农村现代化十五五规划》明确要推进人工智能运用和智慧农业发展；农业大模型、智能装备加速在生物育种、农情监测、生产管理、动植物疫病识别与防控、产量预测等场景落地。","习近平总书记高度重视数字乡村建设和智慧农业发展，作出重要指示强调，“瞄准农业现代化主攻方向，提高农业生产智能化、经营网络化水平，帮助广大农民增加收入”“要用好现代信息技术，创新乡村治理方式，提高乡村善治水平”。2019年，中共中央办公厅、国务院办公厅印发了《数字乡村发展战略纲要》。此后，中央一号文件连续八年对推进数字乡村和智慧农业作出重要部署。各地区各有关部门持续推进数字技术与农业生产、乡村生活日益融合，数字乡村建设和智慧农业发展取得重要阶段性成效。近日，国家互联网信息办公室、农业农村部联合发布《中国数字乡村发展报告（2019—2025年）》（以下简称《报告》），系统总结了七年来我国数字乡村发展的成就和经验。《报告》立足新形势新要求，展示了以信息基础设施为底座、数据资源体系为核心、智慧农业与乡村数字经济为重点、数字文化与数字治理为支撑、信息服务与智慧美丽乡村为拓展、政策机制与人才队伍为保障的体系化发展路径。该《报告》不仅为全面了解发展成效、科学谋划“十五五”数字乡村发展蓝图提供了重要参考，也积极回应各方关切，向国际社会展示了我国借助数字技术推动农业与乡村治理数智化转型的经验。回顾七年历程，智慧农业作为数字乡村建设的重要内容，已由试点探索转向快速起步、由点状突破迈向系统推进，正乘“数”而上，向“智”而行，为推进农业农村现代化提供有力支撑。\n\n一、智慧农业正从“盆景”走向“风景”\n\n数字乡村涵盖乡村经济、治理、文化、服务等多个维度，内涵丰富。《报告》提出，智慧农业是“农业新质生产力的重要内容，是乡村产业数字化的关键着力点”。智慧农业为数字乡村高质量发展提供了坚实的产业支撑，成为推动数字乡村发展的关键动能。《报告》显示，七年的探索推进和快速发展，推动智慧农业实现了“四个跨越”。\n\n第一，智慧农业基础设施实现从“基础覆盖”到“深化赋能”的跨越。完善的网络基础设施为智慧农业在田间地头、池塘圈舍的落地拓展提供了基础支撑。截至2025年底，农村地区互联网普及率达69.5%，较2018年底提升31.1个百分点。传统基础设施数字化为智慧农业提供了更加坚实的硬件底座和场景支撑，农村水利、农田、电网、公路及寄递物流等持续升级完善。农业数据资源日益丰富，为智慧农业落地应用提供了基础资源和创新引擎，“天空地一体化”监测网络等新型基础设施加快建设，全国农产品批发市场价格信息等涉农数据开发利用不断深入。\n\n第二，关键技术装备实现从“基础”到“核心”的跨越。智能农机装备研发应用取得重要进展，新一代信息技术与农业装备深度融合，正推动农业生产方式从“靠天吃饭”向“知天而作”加速转变。产学研用相衔接的智慧农业创新体系加快形成，支撑取得一批关键智慧农业技术装备创新成果。《报告》显示，截至2025年底，累计建设智慧农业创新中心、分中心34个，智慧农业创新应用项目116个，104项关键智慧农业技术和62项整机智能装备研发取得突破。智慧农业技术装备质量管控更加严格、应用推广不断拓展，布局建设国家农机装备产业计量测试中心，强化农机装备产业计算测试技术研究与应用。\n\n第三，主要产业数字化实现从“单点试验”到“面上推广”的跨越。大田种植领域，天空地一体化农情感知与数据驱动模式初步构建，实现水稻、小麦、玉米苗情长势动态监测。截至2025年底，累计推广应用各类农机北斗终端超350万台套，农用无人机保有量超过30万架、年作业面积突破4.6亿亩。智能农机共享租赁加速普及。畜禽养殖领域，精准饲喂、环境控制、行为分析等智能技术广泛应用于生猪养殖和家禽立体高效养殖中。全国659个动物防疫通道纳入信息化管理，动物检疫监督更加智能化、便捷化和高效化。渔业领域，数字技术持续赋能多元化养殖模式，智能化网箱设备、投料机器人等智能装备加速迭代，海洋养殖智能化水平不断提升。\n\n第四，粮食安全保障实现从“人工管控”到“数智赋能”的跨越。粮食安全是“国之大者”，数智技术正在为其构筑起坚实保障。在耕地保护方面，“三区三线”等“一张图”相关基础数据库进一步完善，让“藏粮于地”有了更坚实的数据底座，助力守牢18亿亩耕地红线。在种业振兴方面，中国种业大数据平台建成运行，全国农作物种质资源信息平台已上线58.8万份国家级库圃种质资源信息，为育种创新提供了坚实的资源基础。在防灾减损领域，气象预警信息全面接入全国123万个应急广播终端并在16个省份386个市县试行开展“闪信”技术应用，以气象预警为先导的应急响应联动机制更加健全。在仓储方面，借助数字化仓储技术，粮库储粮周期内综合损耗率控制在1%以内，支撑节粮减损效果明显。从种到收、从田间到粮仓，数智技术正在全链条赋能国家粮食安全保障体系。\n\n二、智慧农业发展需要坚定走好符合国情农情的路子\n\n七年来，在信息革命加速农业深刻变革的进程中，智慧农业加快发展、数字乡村建设深入推进，推动农业成为更有奔头的产业、农村成为更加宜居宜业的家园，为网络强国、农业强国建设贡献了重要力量。回顾七年实践，我们进一步深化了对智慧农业发展的规律性认识。\n\n一是政府引导与市场机制协同发力。党中央、国务院印发的《加快建设农业强国规划（2024—2035年）》、农业农村部印发的《关于大力发展智慧农业的指导意见》《全国智慧农业行动计划（2024—2028年）》等文件构建了智慧农业“四梁八柱”。七年来，从智慧农业创新中心布局到创新应用项目建设实施，从主推技术遴选、典型案例推介到智慧农业创新大赛，政府的“有形之手”在搭建平台、降低门槛、推动产业化等方面发挥了重要作用。同时，平台经济等推动拓展创业空间，返乡青年、家庭农场、农民合作社和农村个体商户以平台化方式进入市场、链接消费和重构经营模式，农村电商、数字服务等新业态加速发展，市场的“无形之手”进一步增强了智慧农业发展的动力活力。\n\n二是技术创新与农情农艺深度结合。农业不同于工业、农村不同于城市，发展智慧农业、建设数字乡村必须坚持问题导向、应用导向，走适宜化、低成本、易操作的技术路线。近年来，农机北斗终端实现快速规模化推广，在于其有效契合了播种、收获等关键环节的实际生产需求，让农民“用得上、用得起、用得好”。\n\n三是智慧农业与小农户有机衔接。“大国小农”的基本国情农情决定了智慧农业要实现大规模落地应用，必须坚持让小农户共享数字红利的现实路径。各类农业社会化服务组织加速布点，通过集采智能装备、统一调度作业、提供“菜单式”服务，将智能农机、无人机植保、精准施肥等先进技术和装备转化为小农户“点单即享”的标准化服务，有效破解小农户“买不起、用不好”的难题。以社会化服务为纽带，智慧农业正成为促进小农户与现代农业发展有机衔接的重要手段。\n\n三、奋力推进“十五五”时期智慧农业建设\n\n“十五五”时期是基本实现农业农村现代化的关键时期。展望未来五年，数字乡村将加快迈向数智乡村，智慧农业建设将进入创新发展、落地见效的关键阶段。《加快农业农村现代化“十五五”规划》明确，要“推进人工智能运用和智慧农业发展”。这要求我们既要总结运用好实践中积累形成的宝贵经验，又要准确把握未来数智技术和农业发展新趋势。\n\n当前，人工智能等数智技术加速演进，深刻重塑农业发展的底层逻辑，为智慧农业发展带来了前所未有的新机遇。一是数据产业加快培育，释放要素价值潜能。数据从支撑农业农村发展的辅助性工具，逐步发展为具有独立价值、可市场化运营的新型生产要素，其基础资源和创新引擎作用日渐显现，数智技术加速内化成为农业农村领域的发展动能，要抓实数据这个根本，进一步加快“统筹部署农业农村数据基础设施”“发展农业农村领域数据产业”。二是应用场景全链拓展，场景驱动成为重要引擎。农业大模型、智能装备加速在生物育种、农情监测、生产管理、动植物疫病识别与防控、产量预测等场景落地，场景驱动技术迭代的效能日益凸显，要打造丰富多样的应用场景，“加快农业人工智能应用场景拓展”。三是新兴产业加快培育，拓展农业发展新空间。智能设计育种、新能源农机、农业低空经济等先导性产业规模化发展，开辟智慧农业高质量发展全新赛道，要从智能育种等产业急需领域做起，加快“培育发展乡村新产业新业态”。\n\n《报告》的发布既是阶段性总结，更是新征程的动员。面向“十五五”，我们要坚决贯彻党中央、国务院关于大力推进“人工智能+”农业的部署要求，在基础设施上强基固本，在关键技术装备上聚力攻坚，在产业数智化上扩面提效，在粮食安全保障上筑牢数字防线，加快推动智慧农业从“点上突破”迈向“面上成势”，从“量的积累”转向“质的跃升”。以智慧农业的创新发展，推动数字乡村高质量发展，为加快农业农村现代化、扎实推进乡村全面振兴注入更加澎湃的数智动能。\n\n作者：李韶民 农业农村部信息中心副主任\n\n原标题：《专家解读｜乘“数”而上 向“智”而行——大力发展智慧农业 加快建设数字乡村》\n\n[阅读原文](https:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg2ODA4MDIwNg==&mid=2247812104&idx=2&sn=0d26f89082d00b4df0d545a746ae8920&chksm=cf86c6565a4df065b13c07ba7a865f15b705b1f5daea9595cb732f4e76ca7a07f6080524f4d7&scene=7)","澎湃新闻 2026年09月23日","2026-09-23T00:00:00Z","报道",93,{"impact":207,"substance":208,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":209},28,24,"农业农村部信息中心专家对《中国数字乡村发展报告（2019—2025年）》的系统解读，含大量权威数据与“十五五”方向判断，政策参考价值高。",[211],{"name":202,"url":199},[213,27,214,215,65,30],"数字乡村","农业人工智能","十五五规划",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[218],{"code":219,"slug":220,"name":221,"path":222,"parent_code":106},"I6","digital-village","数字乡村与数据要素","\u002Ftopic\u002Fdigital-agriculture\u002Fdigital-village",{"status":40,"locked":14,"version":41,"method":42,"evidence":224},{"candidates":225,"agricultural_evidence":47},[226,231,236,240,246,252,258,263,268,274,279,283],{"code":33,"score":227,"supported":47,"title":228,"abstract":229,"tags":230},15,[50],[168,50],[30],{"code":100,"score":232,"supported":47,"title":233,"abstract":234,"tags":235},12,[27],[27],[27],{"code":219,"score":21,"supported":47,"title":237,"abstract":238,"tags":239},[213],[],[213],{"code":241,"score":165,"supported":47,"title":242,"abstract":243,"tags":245},"I2",[],[244],"大模型",[214],{"code":247,"score":77,"supported":47,"title":248,"abstract":249,"tags":251},"F2",[],[250],"生物育种",[],{"code":253,"score":77,"supported":47,"title":254,"abstract":255,"tags":257},"F3",[],[256],"施肥",[],{"code":69,"score":77,"supported":47,"title":259,"abstract":260,"tags":262},[],[261],"植保",[],{"code":76,"score":77,"supported":47,"title":264,"abstract":265,"tags":267},[],[266],"农机",[],{"code":269,"score":77,"supported":47,"title":270,"abstract":271,"tags":273},"I3",[],[272],"农情监测",[],{"code":94,"score":77,"supported":47,"title":275,"abstract":276,"tags":278},[],[277],"农业农村现代化",[],{"code":62,"score":22,"supported":14,"title":280,"abstract":281,"tags":282},[],[],[65],{"code":284,"score":22,"supported":14,"title":285,"abstract":286,"tags":287},"J1",[],[],[215],[289,290],"中国数字乡村发展报告 2019-2025","智慧农业 小农户 社会化服务","中国数字乡村发展报告2019-2025-3289","2026-09-24T00:03:56.916759Z",{"id":294,"title":295,"url":296,"summary":297,"summary_zh":298,"content":9,"source_name":299,"source_url":296,"published_at":300,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":301,"score_detail":302,"sources":306,"tags":308,"primary_topic":311,"secondary_topics":312,"classification":317,"search_phrases":333,"slug":336,"view_count":131,"doi":337,"paper":338,"created_at":353},5592,"Evaluation of Concept-Rank Collapse Audits for Computer Vision Agriculture Disease Classifiers Under Low-Label Regimes: An Interpretability Capacity Bound for Smallholder Fungicide Selectivity","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23545193","Concept-based interpretability methods for plant-disease classifiers are typically evaluated by whether their concept activations correlate with human-annotated labels, but this criterion is silent on a prior question: whether the classifier's internal representation retains enough concept-rank structure for any audit to be informative. the present analysis formalises that prior question as an interpretability capacity bound. A classifier is modelled as a concept-rank operator whose singular values govern how much concept-level signal survives the projection from pixel space to class logits, and a collapse audit is defined as the ratio of retained concept-rank energy to total concept energy. Under a low-label regime, where concept annotations are scarce and the audit must be estimated from few labelled examples, the bound predicts that audit reliability degrades as a function of the concept-rank spectrum and the label budget. The analysis is a theoretical and methodological contribution: it derives the bound, states the conditions under which a collapse audit is identifiable, and characterises the operating characteristics of the audit as a decision procedure under a declared variance structure (between-cluster SD = 6.0, residual SD = 4.5, intraclass correlation = 0.64). Power was estimated across 2000 design cells for cluster counts of 8, 16, 24 and 32 and effect sizes of 3, 5 and 8 percentage points; 52 clusters were required for 5 percentage points at 80% power. The bound reframes concept audits as capacity tests rather than fidelity tests, with consequences for how smallholder fungicide-selectivity decisions should be supported by interpretable disease classifiers.","面向植物病害分类器的基于概念的可解释性方法，通常以其概念激活是否与人工标注标签相关作为评价标准，但该标准对一个更先前的问题保持沉默：分类器的内部表征是否保留了足够的概念秩结构，从而使任何审计具有信息量。本分析将该先前问题形式化为一个可解释性容量上界。分类器被建模为概念秩算子，其奇异值支配着从像素空间到类别logits的投影中概念级信号得以保留的程度，并将坍缩审计定义为保留的概念秩能量与总概念能量之比。在低标签情形下，概念标注稀缺且审计必须由少量标注样本估计，该上界预测审计可靠性会随概念秩谱和标签预算的函数而退化。本分析是一项理论和方法论贡献：推导出该上界，陈述坍缩审计可识别的条件，并在声明的方差结构（簇间SD = 6.0，残差SD = 4.5，组内相关系数 = 0.64）下刻画审计作为决策程序的操作特征。在2000个设计单元中，针对簇数为8、16、24和32以及效应量为3、5和8个百分点的情形估计了功效；在80%功效下达到5个百分点需要52个簇。该上界将概念审计重新框定为容量检验而非保真度检验，并对可解释病害分类器应如何支持小农杀菌剂选择性决策具有启示意义。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-21T00:00:00Z",69,{"impact":303,"substance":304,"depth":19,"authority":232,"freshness":13,"relevant":22,"comment":305},8,21,"理论方法论文，提出可解释性容量上界并给出审计功效分析，对智慧农业病害识别可信度有参考价值，但属小众方法学研究、缺乏田间实证，暂不宜进入每日精选。",[307],{"name":299,"url":296},[27,214,50,309,310],"植物病害识别","可解释性",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[313],{"code":241,"slug":314,"name":315,"path":316,"parent_code":106},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",{"status":40,"locked":14,"version":41,"method":42,"evidence":318},{"candidates":319,"agricultural_evidence":47},[320,324,329],{"code":33,"score":232,"supported":47,"title":321,"abstract":322,"tags":323},[51],[51],[50],{"code":241,"score":13,"supported":47,"title":325,"abstract":327,"tags":328},[326],"computer vision",[],[214,309],{"code":100,"score":22,"supported":14,"title":330,"abstract":331,"tags":332},[],[],[27],[334,335],"农业人工智能 植物病害识别 可解释性 智慧农业","农业人工智能 植物病害识别","农业人工智能植物病害识别可解释性智慧农业-5592","10.5281\u002Fzenodo.23545193",{"doi":337,"openalex_id":339,"authors":340,"venue":299,"cited_by_count":131,"oa_url":296,"card":347,"direction":351,"ingested_from":139},"W7223137323",[341,343,345],{"name":342,"orcid":9},"Akshay Ramgoolam",{"name":344,"orcid":9},"Priya Bundhoo Appadoo",{"name":346,"orcid":9},"Jean-Noël LEspérance",{"tldr":348,"method":349,"finding":350,"direction":351,"opportunity":352},"提出可解释性容量上界，评估低标签下概念秩崩溃审计的可靠性。","将分类器建模为概念秩算子，推导容量上界并做2000格功效模拟。","审计可靠性随概念秩谱与标签预算下降；5个百分点效应需52个聚类达80%功效。","农业人工智能与决策模型","可将容量上界用于小农户杀菌剂选择性决策的可解释模型审计与标签预算设计。","2026-10-22T11:21:10.425290Z",{"id":355,"title":356,"url":357,"summary":358,"summary_zh":359,"content":9,"source_name":299,"source_url":357,"published_at":300,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":360,"score_detail":361,"sources":363,"tags":365,"primary_topic":368,"secondary_topics":369,"classification":371,"search_phrases":386,"slug":389,"view_count":131,"doi":390,"paper":391,"created_at":405},5590,"Evaluation of Concept-Probe Temporal-Stability Audits for Computer Vision Agriculture Disease Classifiers Under Seasonal Phenology Drift: An Interpretability Decay Bound for Smallholder Fungicide Timing","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23545234","Concept-probe audits are increasingly used to certify that a crop-disease classifier's internal representations track the pathological concepts a smallholder would act on, but a probe certified at one point in the season may silently decouple from those concepts as phenology shifts the visual statistics of the field. the present analysis treats that decoupling as a formal object. It defines a temporal-stability audit as a sequence of concept-probe accuracies measured across defined phenological windows, and it derives an interpretability decay bound: the rate at which probe accuracy can fall before the fungicide-timing decision it is meant to support becomes unreliable. The bound is expressed as a function of the probe's initial margin, the drift in concept prevalence between windows, and the classifier's sensitivity to the drifted features, and it yields a certified audit interval rather than a single-point certificate. The paper then characterises the operating characteristics of the audit design under a declared variance structure, using a replication-based evaluation of the before-after-control-impact estimator with between-cluster SD = 6.0, residual SD = 4.5 and intraclass correlation = 0.64. Power was estimated across 2000 design cells over cluster counts of 8, 16, 24 and 32 and effect sizes of 3, 5 and 8 percentage points; 54 clusters were required for 5 percentage points at 80% power. The contribution is a decision-theoretic account of when a concept-probe certificate expires, and a design rule for scheduling re-audits across the season.","概念探针审计（concept-probe audit）日益被用于验证作物病害分类器的内部表征是否追踪小农户会据以采取行动的病理学概念，但在生长季某一时点获得认证的探针，可能随着物候变化改变田间的视觉统计特征而悄然与这些概念脱钩。本分析将这种脱钩视为一个形式化对象。它将时间稳定性审计（temporal-stability audit）定义为在既定物候窗口内测量的一系列概念探针准确率，并推导出一个可解释性衰减界限（interpretability decay bound）：即探针准确率在其所支持的杀菌剂施用时机决策变得不可靠之前所能下降的速率。该界限表示为探针初始裕度、窗口间概念流行率漂移以及分类器对漂移特征敏感度的函数，并给出一个经认证的审计区间而非单点认证。随后，本文在声明的方差结构下刻画该审计设计的运行特征，采用基于重复的前后对照影响估计量评估，其中组间标准差 = 6.0、残差标准差 = 4.5、组内相关系数 = 0.64。功效在 2000 个设计单元上估计，聚类数取 8、16、24 和 32，效应量取 3、5 和 8 个百分点；在 80% 功效下达到 5 个百分点需要 54 个聚类。本文的贡献在于从决策论角度阐明概念探针认证何时失效，并给出在整个生长季内安排重新审计的设计规则。",70,{"impact":303,"substance":17,"depth":19,"authority":232,"freshness":13,"relevant":22,"comment":362},"该论文提出概念探针审计的时序稳定性框架与可解释性衰减界，方法新颖、统计设计扎实，但属小众方法论研究，产业影响有限，适合作为专业精选而非头条。",[364],{"name":299,"url":357},[27,214,50,366,367],"作物病害识别","模型审计",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[370],{"code":241,"slug":314,"name":315,"path":316,"parent_code":106},{"status":40,"locked":14,"version":41,"method":42,"evidence":372},{"candidates":373,"agricultural_evidence":47},[374,378,382],{"code":33,"score":227,"supported":47,"title":375,"abstract":376,"tags":377},[51],[50,51],[50],{"code":241,"score":13,"supported":47,"title":379,"abstract":380,"tags":381},[326],[],[366,214],{"code":100,"score":22,"supported":14,"title":383,"abstract":384,"tags":385},[],[],[27],[387,388],"概念探针 时序稳定性 作物病害分类器","杀菌剂 施药时机 可解释性衰减","概念探针时序稳定性作物病害分类器-5590","10.5281\u002Fzenodo.23545234",{"doi":390,"openalex_id":392,"authors":393,"venue":299,"cited_by_count":131,"oa_url":357,"card":400,"direction":351,"ingested_from":139},"W7223088030",[394,396,398],{"name":395,"orcid":9},"Abdi-Basid Idriss Farah",{"name":397,"orcid":9},"Amina Abdillahi Guedi",{"name":399,"orcid":9},"Moussa Omar Youssouf",{"tldr":401,"method":402,"finding":403,"direction":351,"opportunity":404},"提出概念探针时间稳定性审计与可解释性衰减界，判断何时需重新审计。","定义跨物候窗口探针精度序列，推导衰减界，用BACI复制评估统计功效。","5个百分点效应需54个聚类达80%功效，审计证书会随物候漂移过期。","可将衰减界与再审计调度规则嵌入小农户杀菌剂时机决策支持系统，并验证跨作物泛化。","2026-10-22T11:21:08.978348Z",{"id":407,"title":408,"url":409,"summary":410,"summary_zh":9,"content":9,"source_name":411,"source_url":9,"published_at":412,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":150,"score_detail":413,"sources":417,"tags":419,"primary_topic":421,"secondary_topics":422,"classification":423,"search_phrases":440,"slug":443,"view_count":131,"doi":444,"paper":445,"created_at":452},5457,"数字化水平、农业社会化服务对农业现代化的影响 (Impact of Digitalization and Agricultural Socialized Services on Agricultural Modernization)","http:\u002F\u002Fzgnjhxb.niam.com.cn\u002FCN\u002F10.13733\u002Fj.jcam.issn.2095-5553.2026.10.031","基于2013—2023年30个省份面板数据，熵值TOPSIS法测度农业现代化指数，双向固定效应模型检验机制。数字化显著促进农业现代化，经市场化水平传导，农业社会化服务起调节作用。对非粮食主产区显著，对主产区不显著。","中国农机化学报 2026-10-20","2026-10-20T00:00:00Z",{"impact":19,"substance":304,"depth":414,"authority":415,"freshness":21,"relevant":22,"comment":416},17,13,"基于30省十年面板数据的实证研究，方法规范、结论有政策参考价值，但属学术论文而非产业事件，适合精选但非头条。",[418],{"name":411,"url":409},[213,420,97,30],"省级面板",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":424},{"candidates":425,"agricultural_evidence":47},[426,432,436],{"code":94,"score":427,"supported":47,"title":428,"abstract":430,"tags":431},20,[97,429],"agricultural modernization",[97],[97],{"code":33,"score":232,"supported":47,"title":433,"abstract":434,"tags":435},[168],[168],[30],{"code":219,"score":22,"supported":14,"title":437,"abstract":438,"tags":439},[],[],[213],[441,442],"数字化 农业社会化服务 农业现代化","熵值TOPSIS 农业现代化指数","数字化农业社会化服务农业现代化-5457","10.13733\u002Fj.jcam.issn.2095-5553.2026.10.031",{"doi":444,"openalex_id":9,"authors":446,"venue":9,"cited_by_count":131,"oa_url":9,"card":447,"direction":138,"ingested_from":194},[],{"tldr":448,"method":449,"finding":450,"direction":138,"opportunity":451},"用省级面板数据检验数字化对农业现代化的促进机制。","2013—2023年30省面板数据，熵值TOPSIS测度，双向固定效应模型。","数字化显著促进农业现代化，经市场化传导，社会化服务起调节作用，主产区不显著。","可探究粮食主产区数字化效应不显著的成因，及社会化服务与数字化的协同机制。","2026-10-21T00:10:07.928719Z",{"id":454,"title":455,"url":456,"summary":457,"summary_zh":458,"content":9,"source_name":459,"source_url":456,"published_at":460,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":461,"score_detail":462,"sources":464,"tags":466,"primary_topic":471,"secondary_topics":472,"classification":473,"search_phrases":486,"slug":489,"view_count":131,"doi":490,"paper":491,"created_at":506},4815,"Sustainability of smallholder farming in large-scale mining enclaves in Ghana: the case of Asutifi North District in the Ahafo region, Ghana","https:\u002F\u002Fdoi.org\u002F10.1080\u002F19376812.2026.2692026","This paper argues that Ghana’s land and mineral extraction laws favor large-scale mining against agricultural livelihoods. As a result, the paper examined how large-scale land acquisition affects agrarian land availability, productivity, and sustainability of smallholder farming. Using a case study design, the study employed multiple qualitative methods including focus group discussions, document review, and interviews of officials of relevant institutions and project-affected persons (PAPs). PAPs, key informants and institutions were purposively sampled for interviews. Results show that current land regulations only provide one-time compensation for displaced farmers. This approach fails to consider the long-term needs of affected farming households. The findings further indicate that PAPs often share their compensation with extended family members as part of a cultural obligation. While this practice demonstrates community support, it leaves displaced households with little to nothing left for their own basic needs and long-term sustenance. The paper proposed modern smart agriculture that thrives on smaller lands and the development of a sustainable compensation framework that considers the long-term impacts of land acquisition will help manage land management conflicts and the sustainability of agriculture in mining communities.","本文认为，加纳的土地与矿产开采法律偏向大规模采矿，不利于农业生计。因此，本文考察了大规模土地征用如何影响农户的土地可获得性、生产力及小农农业的可持续性。研究采用案例研究设计，运用多种定性方法，包括焦点小组讨论、文献查阅以及对相关机构官员和受项目影响者（PAPs）的访谈。受项目影响者、关键信息提供者和相关机构均通过目的性抽样选取进行访谈。结果表明，现行土地法规仅对被征地农民提供一次性补偿。这种做法未能考虑受影响农户的长期需求。研究结果进一步显示，受项目影响者往往将补偿金与大家庭成员分享，这被视为一种文化义务。尽管这种做法体现了社区互助，却使被征地农户几乎无余力满足自身基本需求和长期生计。本文提出，发展依托较小土地的现代智慧农业，并建立考虑土地征用长期影响的可持续补偿框架，将有助于管理土地管理冲突以及矿区农业的可持续性。","African Geographical Review","2026-10-11T00:00:00Z",67,{"impact":303,"substance":427,"depth":414,"authority":415,"freshness":21,"relevant":22,"comment":463},"加纳采矿飞地小农可持续性案例研究，揭示一次性补偿缺陷并提出智慧农业与长效补偿框架，对矿区农业治理有参考价值。",[465],{"name":459,"url":456},[27,467,468,469,470],"小农生计","土地征收","采矿冲突","补偿机制",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},[],{"status":40,"locked":14,"version":41,"method":42,"evidence":474},{"candidates":475,"agricultural_evidence":47},[476,481],{"code":33,"score":477,"supported":47,"title":478,"abstract":479,"tags":480},11,[51],[51],[],{"code":100,"score":46,"supported":47,"title":482,"abstract":483,"tags":485},[],[27,484],"smart agriculture",[27],[487,488],"加纳 Asutifi North 小农","大型采矿 土地征收 补偿","加纳AsutifiNorth小农-4815","10.1080\u002F19376812.2026.2692026",{"doi":490,"openalex_id":492,"authors":493,"venue":459,"cited_by_count":131,"oa_url":9,"card":501,"direction":136,"ingested_from":139},"W7221569207",[494,496,499],{"name":495,"orcid":9},"Natalia Poku-Boansi",{"name":497,"orcid":498},"Clifford Amoako","https:\u002F\u002Forcid.org\u002F0000-0001-9751-3037",{"name":500,"orcid":9},"John Tiah Bugri",{"tldr":502,"method":503,"finding":504,"direction":138,"opportunity":505},"研究加纳大型采矿征地对小农农业可持续性的影响，并提出智慧农业与补偿框架建议。","案例研究，采用焦点小组、文献审查和访谈等定性方法。","一次性补偿忽视长期需求，且补偿被分享后农户难以维持生计。","可探索在采矿影响区推广小地块智慧农业技术，并设计长期补偿与生计恢复机制。","2026-10-13T23:30:12.118168Z"]