[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2398":3,"related-2398":79},{"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,"primary_topic":30,"secondary_topics":35,"classification":36,"search_phrases":64,"slug":67,"view_count":20,"doi":8,"paper":68,"created_at":78},2398,"Artificial intelligence-based structural modeling of PSTOL1 receptor kinases in rice and sorghum","https:\u002F\u002Fwww.ebiotrade.com\u002Fnewsf\u002F2026-9\u002F20260908000208887.htm","Frontiers in Plant Science（2026-09-08）。巴西联邦米纳斯吉拉斯大学Marcos José Andrade Viana团队利用AI驱动结构建模研究高粱SbPSTOL1蛋白——发现其与水稻OsPSTOL1不同，作为跨膜受体样激酶并具有多态胞外域。寡聚体建模生成合理结构，克服单体不稳定问题；膜环境MD模拟支持SbPSTOL1寡聚体优先稳定性，寡聚化或为SbPSTOL1（而非OsPSTOL1）获得催化能力的结构前提。",null,"Frontiers in Plant Science | 2026-09-08","2026-09-08T00:00:00Z","论文",10,false,77,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,13,6,1,"AI结构建模揭示高粱与水稻PSTOL1寡聚化差异，为磷高效分子育种提供新结构依据，专业价值突出但受众偏窄。",[23],{"name":9,"url":6},[25,26,27,28,29],"农业人工智能","水稻","高粱","AI结构建模","磷高效育种",{"code":31,"slug":32,"name":33,"path":34,"parent_code":8},"A","field-crops","大田作物","\u002Ftopic\u002Ffield-crops",[],{"status":37,"locked":13,"version":38,"method":39,"evidence":40},"partial","2026-10-22.2","rules",{"candidates":41,"agricultural_evidence":45,"reason":63},[42,50,56],{"code":43,"score":44,"supported":45,"title":46,"abstract":48,"tags":49},"A1",12,true,[47],"rice",[26],[26],{"code":51,"score":44,"supported":45,"title":52,"abstract":54,"tags":55},"A5",[53],"sorghum",[27],[27],{"code":57,"score":58,"supported":45,"title":59,"abstract":61,"tags":62},"I2",9,[60],"artificial intelligence",[],[25],"一级领域明确，二级方向需要细分",[65,66],"农业人工智能 磷高效育种 AI结构建模 水稻","农业人工智能 磷高效育种","农业人工智能磷高效育种AI结构建模水稻-2398",{"doi":8,"openalex_id":8,"authors":69,"venue":8,"cited_by_count":70,"oa_url":8,"card":71,"direction":75,"ingested_from":77},[],0,{"tldr":72,"method":73,"finding":74,"direction":75,"opportunity":76},"用AI建模比较水稻与高粱PSTOL1受体激酶结构，揭示高粱SbPSTOL1寡聚化特征。","AI结构建模、寡聚体建模与膜环境分子动力学模拟。","SbPSTOL1为跨膜受体样激酶，寡聚化可能是其获得催化能力的前提。","农业人工智能与决策模型","可拓展AI结构建模预测作物磷高效基因功能，指导耐低磷育种与养分决策。","agent","2026-09-14T00:06:33.173488Z",{"total":19,"page":20,"page_size":19,"items":80},[81,131,193,325,404,455],{"id":82,"title":83,"url":84,"summary":85,"summary_zh":8,"content":86,"source_name":87,"source_url":8,"published_at":88,"category":89,"cover_url":8,"hotness":12,"is_selected":13,"score":90,"score_detail":91,"sources":94,"tags":96,"primary_topic":101,"secondary_topics":102,"classification":103,"search_phrases":126,"slug":129,"view_count":70,"doi":8,"paper":8,"created_at":130},5437,"上海农科院揭榜天长市粮食单产提升项目 攻关水稻秸秆田边发酵技术","https:\u002F\u002Fwww.tianchang.gov.cn\u002Fzwdt\u002Ftzgg\u002F392406342.html","天长市农业农村局公示 2026 年粮食单产提升「揭榜挂帅」项目实施单位，上海市农业科院与南京农业大学工学院分别揭榜水稻秸秆田边发酵技术研究与示范、秸秆田间就地焚燎消杀还田技术模式示范推广两个项目，公示期为 2026 年 10 月 20 日至 26 日。该举措旨在破解秸秆直接还田弊端、缓解秸秆禁烧压力，同时提高粮食单产，是科研院所参与县域粮食单产提升「揭榜挂帅」的具体落地案例。","403\n\nForbidden\n\nError Times: Wed, 21 Oct 2026 00:10:36 GMT   \nIP: 2600:1900:0:2105::1c01 Node information: PS-ATL-017OX49   \nURL: https:\u002F\u002Fwww.tianchang.gov.cn\u002Fzwdt\u002Ftzgg\u002F392406342.html   \nRequest-Id: 6ad802fc_PS-ATL-017OX49_7380-31487   \nCheck: Details\n\nERROR\n\nThe Requested URL could not be retrieved\n\nWhile trying to retrieve the URL:\n\nhttps:\u002F\u002Fwww.tianchang.gov.cn\u002Fzwdt\u002Ftzgg\u002F392406342.html\n\nThe following error was encountered:\n\n*   Invalid Request\n\nThe access control configuration prevents your request at this time.\n\nPlease contact your service provider if you feel this is incorrect.\n\n[return](https:\u002F\u002Fwww.tianchang.gov.cn\u002Fzwdt\u002Ftzgg\u002F392406342.html#)","天长市人民政府 2026-10-20","2026-10-20T00:00:00Z","报道",41,{"impact":44,"substance":92,"depth":19,"authority":19,"freshness":58,"relevant":20,"comment":93},8,"地市级院地合作动态，主题相关但正文仅403字且原文不可访问，信息增量与专业深度有限，暂不宜进入每日精选。",[95],{"name":87,"url":84},[26,97,98,99,100],"院地合作","秸秆利用","粮食单产提升","天长市",{"code":31,"slug":32,"name":33,"path":34,"parent_code":8},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":104},{"candidates":105,"agricultural_evidence":45,"reason":63},[106,110,116,121],{"code":43,"score":44,"supported":45,"title":107,"abstract":108,"tags":109},[26],[26],[26],{"code":111,"score":44,"supported":45,"title":112,"abstract":114,"tags":115},"A8",[113],"单产提升",[113],[99],{"code":117,"score":20,"supported":13,"title":118,"abstract":119,"tags":120},"G1",[],[],[97],{"code":122,"score":20,"supported":13,"title":123,"abstract":124,"tags":125},"H5",[],[],[98],[127,128],"上海农科院 天长市 水稻秸秆","天长市 粮食单产提升 秸秆发酵","上海农科院天长市水稻秸秆-5437","2026-10-21T00:10:01.423686Z",{"id":132,"title":133,"url":134,"summary":135,"summary_zh":8,"content":136,"source_name":137,"source_url":8,"published_at":138,"category":89,"cover_url":8,"hotness":12,"is_selected":45,"score":139,"score_detail":140,"sources":144,"tags":146,"primary_topic":151,"secondary_topics":152,"classification":153,"search_phrases":188,"slug":191,"view_count":70,"doi":8,"paper":8,"created_at":192},5335,"中国农业科学院「农知育芯 BRIS」智能育种平台在洛阳发布 打造智能育种科研副脑","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fmtxw\u002Fa297dd7421fa4a3ba08c08863fbe3eb7.htm","10 月 14—16 日中国农学会图书情报分会 2026 年学术年会在河南洛阳举办。中国农业科学院农业信息研究所副所长赵瑞雪介绍,农知育芯(BRIS,Breeding Research Intelligent Service)集成 8 项分析工具、3 项自研算法,汇聚 2011—2025 年育种相关核心期刊文献,整合 6800 万条 NCBI 基因索引、57 万条 UniProt 专家校验蛋白信息;自主构建的育种知识图谱包含 7.9 万余个知识实体、12.6 万余条实体关系,覆盖水稻、玉米、小麦和拟南芥四类作物。","10月14日至16日，中国农学会图书情报分会2026年学术年会在河南洛阳举办。会议由中国农学会图书情报分会主办，中国农业科学院[农业信息研究所](http:\u002F\u002Faii.caas.cn\u002F)、河南省农业科学院农业信息技术研究所、洛阳市农林科学院联合承办。中国农业科学院[农业信息研究所](http:\u002F\u002Faii.caas.cn\u002F)副所长赵瑞雪在会上介绍农知育芯（BRIS，Breeding Research Intelligent Service）阶段性研究成果。农知育芯融合育种文献、权威数据库、知识图谱和分析算法，集成8项分析工具、3项自研算法，为研究人员提供知识获取、任务规划、证据推理全链条智能科研服务。\n\n智能育种是AI+农业的重要场景。随着高通量测序技术快速发展，育种科研数据快速增长，基因、性状和调控通路等知识分散于海量文献和数据库，候选基因筛选、功能解析和多组学研究面临知识检索繁琐、数据分析复杂、验证周期长和试错成本高等挑战。而通用大模型也难以充分满足专业知识、结果依据和溯源能力等科研要求。\n\n面向这一需求，农知育芯打通问答与计算、分析与决策、知识与工具三类能力。科研人员可通过自然语言提出问题或发起任务，系统自动调度工具与算法，汇聚文献、数据库、知识图谱及用户数据，形成分析结果与科研建议。在关键候选基因发现等任务中，平台可辅助科研人员将筛选过程由“大海捞针”转向“精准发现”，堪称智能育种的“科研副脑”。\n\n该平台以高质量知识图谱引导推理，结合分析工具计算、模型研判和知识增强开展协同验证，并对文献、数据库、工具和参数进行全链路核查，形成“问题—数据—结论”的科研闭环。\n\n据悉，农知育芯已汇聚2011年至2025年育种相关核心期刊文献，整合6800万条NCBI基因索引、57万条UniProt专家校验蛋白信息；自主构建的育种知识图谱包含7.9万余个知识实体、12.6万余条实体关系，覆盖水稻、玉米、小麦和拟南芥四类作物，形成文献、权威数据库和知识图谱互为校验的证据网络。\n\n该平台自主研发差异表达分析、GWAS、QTL定位、WGCNA共表达网络等8项经典生物信息与统计遗传分析工具，并构建多效基因挖掘、基因功能预测、通路与网络挖掘3项自研育种算法。\n\n依托上述知识资源、分析工具和算法能力，农知育芯面向育种科研人员提供智能问答和六大科研场景分析工具，涵盖关键候选基因发现、候选基因功能解析、分子机制与调控通路、基因型—表型—转录组联合研判、种质群体遗传解析和分析结果综合研判。\n\n该平台能提供快速问答、结构化分析和深度研究三类任务模式，可适配知识查询、多组学数据分析和综合育种前景评估等不同需求。系统可自动完成数据分析，汇聚多源文献证据，一键导出标准化PDF科研报告，并提供候选基因优先级排序和后续实验建议，支持PC端科研分析和移动端田间使用，服务育种科研人员和相关专业学生。","中国农业科学院 2026-10-14~16","2026-10-14T00:00:00Z",85,{"impact":141,"substance":17,"depth":16,"authority":142,"freshness":19,"relevant":20,"comment":143},24,15,"国家级科研机构发布的智能育种平台，知识资源与分析工具细节扎实，属AI+农业重要进展，值得精选。",[145],{"name":137,"url":134},[25,147,148,149,150],"种业振兴","智能育种","知识图谱","科研平台",{"code":31,"slug":32,"name":33,"path":34,"parent_code":8},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":154},{"candidates":155,"agricultural_evidence":45,"reason":63},[156,161,167,173,178,183],{"code":43,"score":157,"supported":45,"title":158,"abstract":159,"tags":160},3,[],[26],[],{"code":162,"score":157,"supported":45,"title":163,"abstract":164,"tags":166},"A2",[],[165],"小麦",[],{"code":168,"score":157,"supported":45,"title":169,"abstract":170,"tags":172},"A3",[],[171],"玉米",[],{"code":57,"score":174,"supported":13,"title":175,"abstract":176,"tags":177},2,[],[],[25,149],{"code":179,"score":20,"supported":13,"title":180,"abstract":181,"tags":182},"F1",[],[],[147],{"code":184,"score":20,"supported":13,"title":185,"abstract":186,"tags":187},"F2",[],[],[148],[189,190],"农知育芯 BRIS 智能育种","中国农科院 农业信息研究所 育种平台","农知育芯BRIS智能育种-5335","2026-10-20T02:47:43.320559Z",{"id":194,"title":195,"url":196,"summary":197,"summary_zh":198,"content":8,"source_name":199,"source_url":196,"published_at":200,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":201,"score_detail":202,"sources":205,"tags":207,"primary_topic":212,"secondary_topics":213,"classification":214,"search_phrases":261,"slug":264,"view_count":70,"doi":265,"paper":266,"created_at":324},5314,"A data‐driven image extraction and analysis pipeline for plant phenotyping in controlled environments","https:\u002F\u002Fdoi.org\u002F10.1002\u002Fppj2.70116","Abstract Advances in automation, imaging, and artificial intelligence have enabled large‐scale plant phenotyping, but image analysis remains a critical bottleneck for crop improvement and biological discovery. We developed an integrated multispectral phenotyping framework using imagery from the Texas A&M AgriLife Automated Precision Phenotyping Greenhouse and expanded plant growth and phenotyping (PGP v2) data across maize ( Zea mays L.), cotton ( Gossypium hirsutum ), rice ( Oryza sativa ), and sorghum ( Sorghum bicolor L.). The pipeline integrates pseudo‐red‐green‐blue composite image generation, plant detection and segmentation, image stitching, vegetation‐index analysis, texture analysis, morphological trait extraction, and temporal comparison of image‐derived features to quantify changes in plant structure, spectral reflectance, and texture over time. Among the evaluated segmentation approaches, segment anything model (SAM) v3 provided the highest and most consistent accuracy across diverse crop structures, although it required greater computational time than classical methods. Segment anything model for long sequences (SAM2Long)maintained plant‐instance associations across vertically stacked frames, while scale‐invariant feature transform–based stitching reconstructed plant mosaics when individual plants extended beyond a single field of view. For each plant and imaging date, the pipeline generated an 863‐dimensional feature vector spanning vegetation indices, spectral statistics, texture descriptors, and morphological traits. The framework was evaluated through two case studies: treatment‐level temporal analysis of mutagenized sorghum lines and cold‐stress phenotyping of maize using a separate imaging system. In both studies, the extracted features supported statistical and multivariate analyses of phenotypic variation and enabled separation of plants based on treatment‐ or stress‐related responses. The combined dataset and workflow provide structured, automated, and well‐documented phenotypic analysis across multiple crops, experimental settings, and imaging systems for controlled‐environment plant science and crop improvement.","摘要　自动化、成像和人工智能的进步使得大规模植物表型分析成为可能，但图像分析仍然是作物改良和生物学发现的关键瓶颈。我们利用德克萨斯农工大学农业生命科学自动化精准表型温室（Texas A&M AgriLife Automated Precision Phenotyping Greenhouse）的图像，开发了一个集成多光谱表型分析框架，并扩展了玉米（Zea mays L.）、棉花（Gossypium hirsutum）、水稻（Oryza sativa）和高粱（Sorghum bicolor L.）的植物生长与表型分析（plant growth and phenotyping，PGP v2）数据。该流程整合了伪红绿蓝合成图像生成、植物检测与分割、图像拼接、植被指数分析、纹理分析、形态性状提取以及图像衍生特征的时间比较，以量化植物结构、光谱反射率和纹理随时间的变化。在评估的分割方法中，segment anything model（SAM）v3在不同作物结构下提供了最高且最一致的准确性，尽管其所需计算时间多于经典方法。面向长序列的segment anything model（SAM2Long）在垂直堆叠帧之间维持了植物实例关联，而基于尺度不变特征变换（scale-invariant feature transform）的拼接在单株植物超出单一视野时重建了植物拼接图。对于每株植物和每个成像日期，该流程生成了一个863维特征向量，涵盖植被指数、光谱统计量、纹理描述符和形态性状。该框架通过两个案例研究进行了评估：诱变高粱品系的处理水平时间分析，以及使用独立成像系统对玉米进行的冷胁迫表型分析。在这两项研究中，提取的特征支持了表型变异的统计分析和多变量分析，并能够根据处理或胁迫相关响应区分植物。合并的数据集和工作流程为受控环境植物科学和作物改良提供了跨多种作物、实验设置和成像系统的结构化、自动化且记录完善的表型分析。","The Plant Phenome Journal","2026-10-18T00:00:00Z",81,{"impact":16,"substance":17,"depth":16,"authority":203,"freshness":58,"relevant":20,"comment":204},14,"该研究提出一套面向多作物的自动化多光谱表型分析流程，方法新颖、数据规模可观，对智慧育种与受控环境植物科学研究具有较高参考价值。",[206],{"name":199,"url":196},[208,25,209,210,211],"智慧农业","图像分割","表型组学","多光谱成像",{"code":31,"slug":32,"name":33,"path":34,"parent_code":8},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":215},{"candidates":216,"agricultural_evidence":45,"reason":63},[217,221,226,230,237,244,249,256],{"code":43,"score":19,"supported":45,"title":218,"abstract":219,"tags":220},[],[26,47],[],{"code":168,"score":19,"supported":45,"title":222,"abstract":223,"tags":225},[],[171,224],"maize",[],{"code":51,"score":19,"supported":45,"title":227,"abstract":228,"tags":229},[],[27,53],[],{"code":231,"score":19,"supported":45,"title":232,"abstract":233,"tags":236},"A6",[],[234,235],"棉花","cotton",[],{"code":238,"score":19,"supported":45,"title":239,"abstract":240,"tags":243},"B7",[],[241,242],"温室","greenhouse",[],{"code":57,"score":245,"supported":45,"title":246,"abstract":247,"tags":248},5,[],[60],[25,209],{"code":250,"score":251,"supported":45,"title":252,"abstract":253,"tags":255},"I3",4,[],[254],"multispectral",[211],{"code":257,"score":20,"supported":13,"title":258,"abstract":259,"tags":260},"I1",[],[],[208],[262,263],"Texas A&M 自动化表型温室","玉米 高粱 多光谱表型","TexasAM自动化表型温室-5314","10.1002\u002Fppj2.70116",{"doi":265,"openalex_id":267,"authors":268,"venue":199,"cited_by_count":70,"oa_url":196,"card":317,"direction":321,"ingested_from":323},"W7222893982",[269,271,274,277,280,282,284,287,290,293,296,299,302,305,308,311,313,315],{"name":270,"orcid":8},"Fahimeh Orvati Nia",{"name":272,"orcid":273},"Joshua Peeples","https:\u002F\u002Forcid.org\u002F0000-0001-7861-7789",{"name":275,"orcid":276},"Seth C. Murray","https:\u002F\u002Forcid.org\u002F0000-0002-2960-8226",{"name":278,"orcid":279},"Andrew J. McFarland","https:\u002F\u002Forcid.org\u002F0009-0000-3516-8274",{"name":281,"orcid":8},"Troy Vann",{"name":283,"orcid":8},"Shima Salehi",{"name":285,"orcid":286},"Robert G. Hardin","https:\u002F\u002Forcid.org\u002F0000-0002-0714-8281",{"name":288,"orcid":289},"David D. Baltensperger","https:\u002F\u002Forcid.org\u002F0000-0003-4511-5680",{"name":291,"orcid":292},"Amir M. H. Ibrahim","https:\u002F\u002Forcid.org\u002F0000-0002-0584-753X",{"name":294,"orcid":295},"J. Alex Thomasson","https:\u002F\u002Forcid.org\u002F0000-0002-5557-105X",{"name":297,"orcid":298},"Henry Y. Fadamiro","https:\u002F\u002Forcid.org\u002F0000-0002-4530-9680",{"name":300,"orcid":301},"Nithya K. Subramanian","https:\u002F\u002Forcid.org\u002F0000-0002-1659-7396",{"name":303,"orcid":304},"Suresh D. Pillai","https:\u002F\u002Forcid.org\u002F0000-0002-9766-8765",{"name":306,"orcid":307},"Rebecca Roston","https:\u002F\u002Forcid.org\u002F0000-0002-3063-5002",{"name":309,"orcid":310},"Joslin Ishimwe","https:\u002F\u002Forcid.org\u002F0009-0003-6999-7718",{"name":312,"orcid":8},"Diptadeep Basak",{"name":314,"orcid":8},"Nazar Oladepo",{"name":316,"orcid":8},"Uday Santhosh Raju Vysyaraju",{"tldr":318,"method":319,"finding":320,"direction":321,"opportunity":322},"构建多光谱图像提取分析流程，实现多作物表型自动化量化。","用温室多光谱图像，集成SAM v3分割、SIFT拼接与863维特征提取。","SAM v3分割最准，特征可区分高粱诱变与玉米冷胁迫响应。","农业遥感与作物表型","可探索轻量化分割模型与跨成像系统迁移，降低计算成本并拓展田间表型。","openalex","2026-10-19T23:30:17.276726Z",{"id":326,"title":327,"url":328,"summary":329,"summary_zh":330,"content":8,"source_name":331,"source_url":328,"published_at":332,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":333,"score_detail":334,"sources":338,"tags":340,"primary_topic":344,"secondary_topics":345,"classification":346,"search_phrases":379,"slug":382,"view_count":70,"doi":383,"paper":384,"created_at":403},4901,"Feature-level fusion of Sentinel-1 SAR and Sentinel-2 optical imagery for crop-type mapping in humid tropical mountainous terrain","https:\u002F\u002Fdoi.org\u002F10.64960\u002Feasr.2026.263460","Accurate crop-type mapping in humid tropical mountains is challenged by persistent cloud cover, rugged topography, and fragmented smallholder parcels. This study evaluates a feature-level fusion workflow that integrates Sentinel-2 optical indices and Sentinel-1 SAR backscatter for crop-type mapping in Candipuro District, Lumajang, East Java, Indonesia. Sentinel-2 surface reflectance and Sentinel-1 IW data acquired in June–July 2023 were harmonised in Google Earth Engine to a common 10 m pixel grid, so that all comparison maps were evaluated on the same spatial support. The optical component comprised NDVI, NDBI, and NDWI, whereas the radar component used the VH\u002FVV polarisation ratio. A DEM was used only to characterise the mountainous setting and to assist terrain interpretation, and was not included as a predictor in the classifier. The stacked feature image was classified using a Random Forest model trained with 101 field-survey ground control points representing eight land-cover\u002Fcrop-related classes. Accuracy was assessed using 393 stratified random validation points. The fused-image classification achieved an overall accuracy of 93% and a kappa coefficient of 0.90. The fusion workflow yielded richer thematic differentiation than the optical-only comparison scenarios, particularly for water bodies, sugarcane, and shrubland. However, class-level results reveal substantial uncertainty for corn fields and moderate confusion in built-up and water classes. Therefore, the present workflow should be interpreted as a site-specific, single-date proof of concept rather than a fully transferable operational solution. The results indicate that Sentinel-1\u002FSentinel-2 feature fusion is promising for crop-type mapping in cloud-prone mountainous landscapes, while future work should incorporate multi-temporal phenology, richer vegetation indices, SAR texture features, uncertainty mapping, and broader field sampling.","在湿润的热带山区，准确的作物类型制图面临持续云覆盖、崎岖地形和破碎的小农户地块等挑战。本研究评估了一种特征级融合工作流，该工作流整合了Sentinel-2光学指数与Sentinel-1 SAR后向散射数据，用于印度尼西亚东爪哇省卢马姜县坎迪普罗区的作物类型制图。2023年6月至7月获取的Sentinel-2地表反射率和Sentinel-1 IW数据在Google Earth Engine中统一至共同的10 m像元网格，以确保所有对比制图均在相同的空间支撑上进行评估。光学组分包括NDVI、NDBI和NDWI，雷达组分则使用VH\u002FVV极化比值。DEM仅用于表征山区环境并辅助地形解译，未作为预测变量纳入分类器。堆叠特征影像采用随机森林模型进行分类，该模型以101个野外调查地面控制点进行训练，代表八个土地覆盖\u002F作物相关类别。精度评估使用393个分层随机验证点。融合影像分类的总体精度达到93%，Kappa系数为0.90。与仅光学对比方案相比，融合工作流产生了更丰富的专题区分能力，尤其在水体、甘蔗和灌木地方面。然而，类别层面的结果揭示了玉米田存在较大不确定性，建成区和水体类别存在中等程度的混淆。因此，本工作流应被解读为特定站点的单日期概念验证，而非完全可迁移的业务化方案。结果表明，Sentinel-1\u002FSentinel-2特征融合在多云山区景观的作物类型制图中具有前景，未来工作应纳入多时相物候、更丰富的植被指数、SAR纹理特征、不确定性制图以及更广泛的野外采样。","Engineering and Applied Science Research","2026-10-12T00:00:00Z",66,{"impact":92,"substance":335,"depth":336,"authority":44,"freshness":58,"relevant":20,"comment":337},20,17,"方法扎实、精度可观的遥感作物制图概念验证研究，但属单点单时相案例，公共影响有限，适合作为技术参考而非每日精选头条。",[339],{"name":331,"url":328},[208,25,341,342,343],"遥感","作物识别","哨兵卫星",{"code":31,"slug":32,"name":33,"path":34,"parent_code":8},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":347},{"candidates":348,"agricultural_evidence":45,"reason":63},[349,354,360,367,371,375],{"code":168,"score":19,"supported":45,"title":350,"abstract":351,"tags":353},[],[171,352],"corn",[],{"code":231,"score":19,"supported":45,"title":355,"abstract":356,"tags":359},[],[357,358],"甘蔗","sugarcane",[],{"code":361,"score":19,"supported":45,"title":362,"abstract":363,"tags":366},"G2",[],[364,365],"小农户","smallholder",[],{"code":257,"score":20,"supported":13,"title":368,"abstract":369,"tags":370},[],[],[208],{"code":57,"score":20,"supported":13,"title":372,"abstract":373,"tags":374},[],[],[25],{"code":250,"score":20,"supported":13,"title":376,"abstract":377,"tags":378},[],[],[341],[380,381],"Sentinel-1 Sentinel-2 作物分类","印尼 东爪哇 作物制图","Sentinel-1Sentinel-2作物分类-4901","10.64960\u002Feasr.2026.263460",{"doi":383,"openalex_id":385,"authors":386,"venue":331,"cited_by_count":70,"oa_url":397,"card":398,"direction":321,"ingested_from":323},"W7221544367",[387,390,393,395],{"name":388,"orcid":389},"Indarto Indarto","https:\u002F\u002Forcid.org\u002F0000-0001-6319-6731",{"name":391,"orcid":392},"Gunawan Gunawan","https:\u002F\u002Forcid.org\u002F0000-0001-7914-3669",{"name":394,"orcid":8},"Mahrus Irsyam",{"name":396,"orcid":8},"Fahmi Arif Kurnanto","https:\u002F\u002Fph01.tci-thaijo.org\u002Findex.php\u002Feasr\u002Farticle\u002Fdownload\u002F263460\u002F176575",{"tldr":399,"method":400,"finding":401,"direction":321,"opportunity":402},"融合Sentinel-1 SAR与Sentinel-2光学特征，在印尼热带山地实现93%精度的作物类","Google Earth Engine中10米格网特征级融合NDVI\u002FNDBI\u002F","融合影像总体精度93%、kappa 0.90，优于仅光学方案，但玉米和建成区仍存在明显混淆。","可引入多时相物候、SAR纹理与不确定性制图，提升热带多云山区小农户破碎地块的作物识别与可迁移性。","2026-10-14T23:30:28.943594Z",{"id":405,"title":406,"url":407,"summary":408,"summary_zh":8,"content":8,"source_name":409,"source_url":8,"published_at":410,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":411,"score_detail":412,"sources":414,"tags":416,"primary_topic":418,"secondary_topics":419,"classification":420,"search_phrases":443,"slug":446,"view_count":19,"doi":8,"paper":447,"created_at":454},3324,"Diag-STFN：全球收获前作物产量预测的诊断时空多模态融合网络——覆盖38国玉米29国小麦（Ecological Informatics 2026）","https:\u002F\u002Fm2.mtmt.hu\u002Fapi\u002Fpublication\u002F37354974?&&labelLang=hun","《Ecological Informatics》2026年第96期：Zhuang等提出Diag-STFN——一种诊断时空多模态融合网络，用于全球收获前作物产量预测。该网络基于数据集特征选择模型结构，以确定是否需要时间趋势耦合和空间模块激活。在三种前置期（早、中、晚季）下，基于覆盖38国玉米和29国小麦的CY-Bench基准数据集进行评估。结果表明，所提方法在所有前置期均实现了两种作物的最低汇总NRMSE，并在MAPE和KGE等补充指标上保持领先。消融研究表明诊断模块选择提供了主要的性能提升；方差分解显示性能差异在国家之间大于模型之间。","《Ecological Informatics》96 (2026) 103860","2026-09-17T00:00:00Z",78,{"impact":16,"substance":17,"depth":16,"authority":203,"freshness":19,"relevant":20,"comment":413},"方法新颖、覆盖38国玉米与29国小麦的全球收获前产量预测研究，学术价值突出但产业落地尚早，适合作为前沿技术资讯收录。",[415],{"name":409,"url":407},[208,25,417,165,171,341],"产量预测",{"code":31,"slug":32,"name":33,"path":34,"parent_code":8},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":421},{"candidates":422,"agricultural_evidence":45,"reason":63},[423,427,431,435,439],{"code":162,"score":44,"supported":45,"title":424,"abstract":425,"tags":426},[165],[165],[165],{"code":168,"score":44,"supported":45,"title":428,"abstract":429,"tags":430},[171],[171],[171],{"code":250,"score":174,"supported":13,"title":432,"abstract":433,"tags":434},[],[],[417,341],{"code":257,"score":20,"supported":13,"title":436,"abstract":437,"tags":438},[],[],[208],{"code":57,"score":20,"supported":13,"title":440,"abstract":441,"tags":442},[],[],[25],[444,445],"Diag-STFN 作物产量预测","CY-Bench 玉米 小麦","Diag-STFN作物产量预测-3324",{"doi":8,"openalex_id":8,"authors":448,"venue":8,"cited_by_count":70,"oa_url":8,"card":449,"direction":75,"ingested_from":77},[],{"tldr":450,"method":451,"finding":452,"direction":75,"opportunity":453},"提出诊断式时空多模态融合网络Diag-STFN，实现全球收获前玉米小麦产量预测。","基于CY-Bench基准，按数据特征诊断选择时间趋势与空间模块，覆盖38国玉米2","各前置期均取得最低NRMSE，诊断模块选择贡献最大，国家间差异大于模型间差异。","可探索自适应诊断机制迁移至其他作物，并针对国家间差异开展区域化建模与不确定性量化。","2026-09-24T00:04:02.684732Z",{"id":456,"title":457,"url":458,"summary":459,"summary_zh":8,"content":460,"source_name":461,"source_url":8,"published_at":462,"category":89,"cover_url":8,"hotness":12,"is_selected":13,"score":463,"score_detail":464,"sources":467,"tags":469,"primary_topic":474,"secondary_topics":475,"classification":476,"search_phrases":487,"slug":490,"view_count":20,"doi":8,"paper":8,"created_at":491},3118,"广州市农业农村科学院赴花都区开展晚造粮食生产技术指导——专家团队深入水稻\u002F鲜食玉米连片种植区","https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt\u002Fcontent\u002Fpost_11014185.html","广州市农业农村科学院联合花都区农业技术管理中心组建农技专家服务团队，深入花都区粮食生产核心基地开展常态化、精准化田间技术帮扶和实地指导服务。在花东镇水稻种植片区晚造水稻已进入穗分化关键阶段，专家现场指导农户科学追施促穗肥；针对采用自留种的田块开展手把手实操教学、现场示范田间除杂技术；在花山镇鲜食玉米生产基地引导种植户实行错期分批播种；叮嘱种植主体密切监测草地贪夜蛾、茎腐病、南方锈病等重大病虫害发生动态。广州市农业农村科学院长期扎根花都农业生产一线、多方联动共建多处百亩连片水稻示范田。","[](javascript:void(0))\n\n[![Image 3](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002F2021_gzgov_logo_small.png)](http:\u002F\u002Fwww.gz.gov.cn\u002F)[统一登录](https:\u002F\u002Fmy.gz.gov.cn\u002Fportal-citizen\u002Fhome)[繁體](javascript:void(0))无障碍[手机版](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt\u002Fcontent\u002Fpost_11014185.html)\n\n*   ![Image 4](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002Fgznyj_sjb.png)\n\n关怀版\n\n2026年9月22日星期二\n\n*   [首页](https:\u002F\u002Fnyncj.gz.gov.cn\u002F)\n*   [政务](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Ftzgg\u002F \"政务\")\n*   [办事](http:\u002F\u002Fwww.gdzwfw.gov.cn\u002Fportal\u002Fbranch-hall?orgCode=MB2C9235X \"办事\")\n*   [互动](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt \"互动\")\n*   [服务](https:\u002F\u002Fnyncj.gz.gov.cn\u002Ffw\u002Fnynczs\u002F \"服务\")\n*   [数据](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fsj\u002Findex.html \"数据\")\n\n#### 政府信息公开\n\n[信息公开指南](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fgkmlpt\u002Fguide \"信息公开指南\") | [信息公开目录](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fgkmlpt\u002Findex \"信息公开目录\")[信息公开制度](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzfxxgk\u002Fxxgkzd\u002Findex.html \"信息公开制度\") | [信息公开年报](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fgkmlpt\u002Fannualreport \"信息公开年报\")[依申请公开](https:\u002F\u002Fysqgk.gd.gov.cn\u002F200029\u002Fchoice \"依申请公开\")\n\n[![Image 5](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002F2016sy_zw_02.jpg) 信用信息 双公示](https:\u002F\u002Fcredit1.gz.gov.cn\u002FcreditPublicNew\u002FcreditXkDepartNew?dwbh=gz15)\n\n[![Image 6](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002F2016sy_zw_03.jpg) 权责清单](http:\u002F\u002Fwww.gdzwfw.gov.cn\u002Fportal\u002Faffairs-public-duty-list?region=440100&deptCode=MB2C9235X)\n\n*   工作动态\n*   政声传递\n*   区镇连线\n\n[更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt\u002Findex.html)[更多>>](http:\u002F\u002Fwww.gd.gov.cn\u002Fxxts\u002F)[更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fqzdt\u002Findex.html)\n\n*   [农技赋能助丰收 精准服务保粮安 —— 广州市农业...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt\u002Fcontent\u002Fpost_11014185.html \"农技赋能助丰收 精准服务保粮安 —— 广州市农业农村科学院赴花都区开展晚造粮食生产技术指导\") 2026-09-21 \n*   [广州选手在第七届全国农业行业职业技能大赛农作物植...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt\u002Fcontent\u002Fpost_11013460.html \"广州选手在第七届全国农业行业职业技能大赛农作物植保员技能竞赛（广东选拔赛）中斩获佳绩\") 2026-09-21 \n*   [广州再添8 个“国字号”农产品！“三品一标”阵营...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt\u002Fcontent\u002Fpost_11012737.html \"广州再添8 个“国字号”农产品！“三品一标”阵营再扩容\") 2026-09-20 \n\n*   [李强主持召开国务院常务会议 听取老龄工作情况汇报等](https:\u002F\u002Fwww.gd.gov.cn\u002Fxxts\u002Fcontent\u002Fpost_4957688.html \"李强主持召开国务院常务会议 听取老龄工作情况汇报等\")2026-09-19\n*   [黄坤明在中央第四生态环境保护督察组督察广东省情况反馈会上作表态发言严而又严实而又...](https:\u002F\u002Fwww.gd.gov.cn\u002Fxxts\u002Fcontent\u002Fpost_4957667.html \"黄坤明在中央第四生态环境保护督察组督察广东省情况反馈会上作表态发言严而又严实而又实做好整改“后半篇文章” 守护好广东蓝天碧水大美山川\")2026-09-18\n*   [省委人大工作会议召开坚持好完善好运行好人民代表大会制度 全力打造全过程人民民主省...](https:\u002F\u002Fwww.gd.gov.cn\u002Fxxts\u002Fcontent\u002Fpost_4956000.html \"省委人大工作会议召开坚持好完善好运行好人民代表大会制度 全力打造全过程人民民主省域样板为广东增创新优势实现新突破提供有力制度保障黄坤明讲话 孟凡利主持 黄楚平林克庆出席\")2026-09-15\n\n*   [番禺区：“百千万工程”总师聘任暨艺术乡建“共创活...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fqzdt\u002Fcontent\u002Fpost_11014163.html \" 番禺区：“百千万工程”总师聘任暨艺术乡建“共创活...\") 2026-09-21\n*   [番禺区：入选广东省美丽县城典型案例](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fqzdt\u002Fcontent\u002Fpost_11002088.html \" 番禺区：入选广东省美丽县城典型案例\") 2026-09-14\n*   [南沙区：开展违规网具集中销毁专项行动](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fqzdt\u002Fcontent\u002Fpost_10995760.html \" 南沙区：开展违规网具集中销毁专项行动\") 2026-09-08\n\n[更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Ftzgg\u002Findex.html)[更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fgkmlpt\u002Findex#15306)[更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fgkmlpt\u002Fpolicy#411)\n*   通知公告\n*   规划统计\n*   政策解读\n\n*   [广州市农业农村局网站工作2025年度报表](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Ftzgg\u002Fcontent\u002Fpost_10650689.html \"广州市农业农村局网站工作2025年度报表\") 2026-01-16 \n*   [广州市海洋综合执法支队“其它行政权力”事项办理结...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Ftzgg\u002Fcontent\u002Fpost_11015302.html \"广州市海洋综合执法支队“其它行政权力”事项办理结果公示\") 2026-09-21 \n*   [2025年拟认定广州市级农业龙头企业和监测合格企...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Ftzgg\u002Fcontent\u002Fpost_11009151.html \"2025年拟认定广州市级农业龙头企业和监测合格企业公示\") 2026-09-17 \n*   [广州市海洋综合执法支队关于广州市2026年KY-...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Ftzgg\u002Fcontent\u002Fpost_11007525.html \"广州市海洋综合执法支队关于广州市2026年KY-GZ-20260901期渔业船员培训考试成绩的公示\") 2026-09-16 \n*   [广州市海洋综合执法支队“其它行政权力”事项办理结...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Ftzgg\u002Fcontent\u002Fpost_11004908.html \"广州市海洋综合执法支队“其它行政权力”事项办理结果公示\") 2026-09-15 \n*   [渔业捕捞许可证作废声明](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Ftzgg\u002Fcontent\u002Fpost_10995796.html \"渔业捕捞许可证作废声明\") 2026-09-08 \n\n*   [广州市人民政府办公厅关于印发广州市加快建设都市现...](https:\u002F\u002Fwww.gz.gov.cn\u002Fgzzcwjk\u002Fgzdata\u002Fcontent\u002Fpost_10577389.html \"广州市人民政府办公厅关于印发广州市加快建设都市现代农业强市规划（2024—2035年）的通知\") 2025-12-08 \n*   [中共中央 国务院印发《加快建设农业强国规划（20...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fghjh\u002Fcontent\u002Fpost_10202757.html \"中共中央 国务院印发《加快建设农业强国规划（2024—2035年）》\") 2025-04-08 \n*   [中共中央、国务院印发《乡村全面振兴规划（2024...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fghjh\u002Fcontent\u002Fpost_10091697.html \"中共中央、国务院印发《乡村全面振兴规划（2024—2027年）》\") 2025-01-23 \n*   [粤港澳大湾区“菜篮子”工作办公室关于印发粤港澳大...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fghjh\u002Fcontent\u002Fpost_9738550.html \"粤港澳大湾区“菜篮子”工作办公室关于印发粤港澳大湾区“菜篮子”工程规划（2022—2026年）的通知\") 2024-07-03 \n*   [广州市农业农村局关于印发广州市蔬菜产地市场建设规...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fghjh\u002Fcontent\u002Fpost_9471533.html \"广州市农业农村局关于印发广州市蔬菜产地市场建设规划的通知\") 2023-10-12 \n*   [广州市“菜篮子”工作领导小组办公室关于印发广州市...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fghjh\u002Fcontent\u002Fpost_8994800.html \"广州市“菜篮子”工作领导小组办公室关于印发广州市“菜篮子”“十四五”发展规划的通知\") 2023-05-24 \n\n*   [【政策解读】《广州市本地农产品稳产保供重点生产主体培育与管理办法》政策解读](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fgkmlpt\u002Fcontent\u002F11\u002F11014\u002Fpost_11014360.html \"【政策解读】《广州市本地农产品稳产保供重点生产主体培育与管理办法》政策解读\")2026-09-21\n*   [【一图读懂】《广州市本地农产品稳产保供重点生产主体培育与管理办法》](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fgkmlpt\u002Fcontent\u002F11\u002F11014\u002Fpost_11014357.html \"【一图读懂】《广州市本地农产品稳产保供重点生产主体培育与管理办法》\")2026-09-21\n*   [【一图读懂】《广州市高标准农田建设项目验收规程》](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fgkmlpt\u002Fcontent\u002F10\u002F10970\u002Fpost_10970957.html \"【一图读懂】《广州市高标准农田建设项目验收规程》\")2026-08-19\n*   [【一图读懂】《广州市畜禽屠宰行业高质量发展三年行动方案（2026—2028年）》](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fgkmlpt\u002Fcontent\u002F10\u002F10797\u002Fpost_10797397.html \"【一图读懂】《广州市畜禽屠宰行业高质量发展三年行动方案（2026—2028年）》\")2026-04-30\n*   [【一图读懂、音频解读】《广州市农村集体资产交易管理办法》的解读](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fgkmlpt\u002Fcontent\u002F10\u002F10739\u002Fpost_10739977.html \"【一图读懂、音频解读】《广州市农村集体资产交易管理办法》的解读\")2026-03-24\n*   [【一图读懂】2026年广州市农业主导品种和主推技术图解](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fgkmlpt\u002Fcontent\u002F10\u002F10666\u002Fpost_10666621.html \"【一图读懂】2026年广州市农业主导品种和主推技术图解\")2026-01-29\n\n[乡村振兴](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzxyw\u002Fsn\u002Fxczx\u002Findex.html \"乡村振兴\")[广州种业](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzxyw\u002Fsn\u002Fgzzy\u002Findex.html \"广州种业\")[农业产业化](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzxyw\u002Fsn\u002Fnycyh\u002Findex.html \"农业产业化\")[农产品监管](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzxyw\u002Fsn\u002Fncpjg\u002Findex.html \"农产品监管\")[渔业水产](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzxyw\u002Fsn\u002Fyysc\u002Findex.html \"渔业水产\")[种植管理](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzxyw\u002Fsn\u002Fzzgl\u002Findex.html \"种植管理\")[农环植保](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzxyw\u002Fsn\u002Fnhzb\u002Findex.html \"农环植保\")[农机管理](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzxyw\u002Fsn\u002Fnjgl\u002Findex.html \"农机管理\")[更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzxyw\u002Findex.html)\n\n#### [热点专题](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Frdzt\u002Findex.html)\n\n*   [《广州市加快建设都市现代农业强市规划（2024—...](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Frdzt\u002Fjsdsxdnyqsgh\u002F \"《广州市加快建设都市现代农业强市规划（2024—2035年）》内容解读（视频）\")\n*   [广州市畜牧兽医屠管行业普法直通车](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Frdzt\u002F2025xmsytghypfztc\u002F \"广州市畜牧兽医屠管行业普法直通车\")\n*   [广州市打造美丽中国城市样板美丽乡村优秀案例](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Frdzt\u002F2025mlxcyxal\u002F \"广州市打造美丽中国城市样板美丽乡村优秀案例\")\n[更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Frdzt\u002Findex.html)\n\n##### [更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fc_cat?name=ftyg) 接访预告\n\n*   [信访工作条例](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhd\u002Fjfyg\u002Fcontent\u002Fpost_8373419.html \"信访工作条例\") 2022-06-27 \n*   [广东省信访条例](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhd\u002Fjfyg\u002Fcontent\u002Fpost_8090013.html \"广东省信访条例\") 2022-02-22 \n*   [广州市农业农村局来信、来访指南](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhd\u002Fjfyg\u002Fcontent\u002Fpost_10033656.html \"广州市农业农村局来信、来访指南\") 2026-06-05 \n*   [广州市农业农村局领导9月接访预告](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhd\u002Fjfyg\u002Fcontent\u002Fpost_11012694.html \"广州市农业农村局领导9月接访预告\") 2026-09-20 \n*   [广州市农业农村局领导8月接访预告](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhd\u002Fjfyg\u002Fcontent\u002Fpost_10967166.html \"广州市农业农村局领导8月接访预告\") 2026-08-17 \n*   [广州市农业农村局领导7月接访预告](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhd\u002Fjfyg\u002Fcontent\u002Fpost_10905195.html \"广州市农业农村局领导7月接访预告\") 2026-07-16 \n*   [广州市农业农村局6月份局领导接访安排](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhd\u002Fjfyg\u002Fcontent\u002Fpost_10862146.html \"广州市农业农村局6月份局领导接访安排\") 2026-06-18 \n*   [广州市农业农村局5月份局领导接访安排](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhd\u002Fjfyg\u002Fcontent\u002Fpost_10827005.html \"广州市农业农村局5月份局领导接访安排\") 2026-05-25 \n*   [4月23日广州市农业农村局领导接访预告](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhd\u002Fjfyg\u002Fcontent\u002Fpost_10773365.html \"4月23日广州市农业农村局领导接访预告\") 2026-04-16 \n*   [3月23日广州市农业农村局领导接访预告](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhd\u002Fjfyg\u002Fcontent\u002Fpost_10728537.html \"3月23日广州市农业农村局领导接访预告\") 2026-03-16 \n\n##### [更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fc_cat?name=wsdc) 网上调查\n\n![Image 7](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002F2016sy_wz_01.jpg)\n\n*   [广州市农业农村局关于2026年中央一号文件的调查...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fyjzj\u002Fanswer\u002F50869 \"广州市农业农村局关于2026年中央一号文件的调查问卷\")\n*   [广州市农业农村局关于2025年中央一号文件的调查...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fyjzj\u002Fanswer\u002F44211 \"广州市农业农村局关于2025年中央一号文件的调查问卷\")\n*   [广州市农业农村局关于2024年中央一号文件的调查...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fyjzj\u002Fanswer\u002F36886 \"广州市农业农村局关于2024年中央一号文件的调查问卷\")\n*   [广州市农业农村局关于广州市落实中央工作会议精神的...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fyjzj\u002Fanswer\u002F28959 \"广州市农业农村局关于广州市落实中央工作会议精神的调查问卷\")\n\n##### [更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fc_cat?name=yjzj)民意征集\n\n*   [广州市农业农村局关于公开征求《广州市加快农业农村...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fyjzj\u002Fanswer\u002F52347 \"广州市农业农村局关于公开征求《广州市加快农业农村现代化“十五五”规划（征求意见稿）》意见的通知\")2026-08-21\n*   [广州市农业农村局关于公开征求《广州市本地农产品稳...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fyjzj\u002Fanswer\u002F51945 \"广州市农业农村局关于公开征求《广州市本地农产品稳产保供重点生产主体培育与管理办法》意见的公告\")2026-07-31\n*   [广州市农业农村局关于公开征求《广州市畜禽养殖管理...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fyjzj\u002Fanswer\u002F51346 \"广州市农业农村局关于公开征求《广州市畜禽养殖管理办法（征求意见稿）》 及公平竞争意见和建议的公告\")2026-07-03\n*   [广州市农业农村局关于公开征求《广州市本地农产品稳...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fyjzj\u002Fanswer\u002F50320 \"广州市农业农村局关于公开征求《广州市本地农产品稳产保供重点生产主体培育与管理办法》意见的公告\")2026-05-14\n*   [广州市农业农村局关于公开征求《广州市农业农村专家...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fyjzj\u002Fanswer\u002F49164 \"广州市农业农村局关于公开征求《广州市农业农村专家库管理办法（修订稿·征求意见稿）》意见的通知\")2026-03-05\n*   [广州市农业农村局关于公开征求《广州市养殖水域滩涂...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fyjzj\u002Fanswer\u002F48522 \"广州市农业农村局关于公开征求《广州市养殖水域滩涂规划（2019～2030年）》部分内容修改意见的公告\")2026-01-15\n\n[![Image 8: 局长信箱](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002F2016sy_wz_btn1.jpg)](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fldxx)[![Image 9: 政府12345](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002F2016sy_wz_btn2.jpg)](https:\u002F\u002Fwww.gz.gov.cn\u002Fgz12345\u002F)[![Image 10](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002F2016sy_wz_btn04.jpg)](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fhdjlpt\u002Fdwzsk?via=pc)\n\n##### [更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Ffw\u002Ffwyypt\u002Findex.html) 服务应用平台\n\n*   [市农业农村专家库](https:\u002F\u002Fsnyj.nyncj.gz.gov.cn\u002Fportal\u002F \"市农业农村专家库\")\n*   [财政专项资金申请](https:\u002F\u002F112.94.68.237\u002Fportal\u002F \"财政专项资金申请\")\n*   [农产品价格采集系统](https:\u002F\u002Fwww.abuya.com.cn:6888\u002Fjsp\u002Flogin\u002Flogin.jsp \"农产品价格采集系统\")\n*   [农机购置补贴平台](http:\u002F\u002F210.76.75.39:2018\u002FGouZBT2021To23_Fromal\u002F \"农机购置补贴平台\")\n*   [集体产权流转平台](https:\u002F\u002F112.94.70.20:8088\u002F \"集体产权流转平台\")\n*   [智慧畜牧兽医平台](http:\u002F\u002Fwww.gzxm.org.cn\u002Famaq-sso-server\u002Flogin;jsessionid=2D3E225ED88BC1346655DD3033C2FD61 \"智慧畜牧兽医平台\")\n*   [农博士综合服务平台](https:\u002F\u002Fwww.gznbs.com:8081\u002Fnyjnewnbs\u002Fjsp\u002Flogin\u002Flogin.jsp \"农博士综合服务平台\")\n\n##### [更多>>](https:\u002F\u002Fwww.abuya.com.cn:6888\u002Fweb\u002Findex.html) 数据发布\n\n*   [黄沙水产交易市场行情分析（9月14日—9月18日)](http:\u002F\u002Fnyncj.gz.gov.cn\u002Ffw\u002Fsjfb\u002Fgzscxq\u002Fcontent\u002Fpost_11010229.html \"黄沙水产交易市场行情分析（9月14日—9月18日)\")\n*   [广州花卉研究中心有限公司市场行情分析（9月14日—9月18日)](http:\u002F\u002Fnyncj.gz.gov.cn\u002Ffw\u002Fsjfb\u002Fgzscxq\u002Fcontent\u002Fpost_11009991.html \"广州花卉研究中心有限公司市场行情分析（9月14日—9月18日)\")\n\n*   [三农微博](http:\u002F\u002Fnyncj.gz.gov.cn\u002Ffw\u002Fwfw\u002Fsnwb\u002Findex.html)\n*   [三农微信](http:\u002F\u002Fnyncj.gz.gov.cn\u002Ffw\u002Fwfw\u002Fsnwx\u002Findex.html)\n*   [农药使用名录](http:\u002F\u002Fnyncj.gz.gov.cn\u002Ffw\u002Fnysyml\u002Findex.html)\n*   [主推技术](http:\u002F\u002Fnyncj.gz.gov.cn\u002Ffw\u002Fztjs\u002Findex.html)\n*   [主导品种](http:\u002F\u002Fnyncj.gz.gov.cn\u002Ffw\u002Fzdpz\u002Findex.html)\n*   [农事管理](http:\u002F\u002Fnyncj.gz.gov.cn\u002Ffw\u002Fnsgl\u002Findex.html)\n*   [下载区](http:\u002F\u002Fnyncj.gz.gov.cn\u002Ffw\u002Fxzq\u002Findex.html)\n\n##### [更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fsj\u002Fcysj\u002Findex.html) 常用数据\n\n*   [广州农产品价格数据发布](https:\u002F\u002Fwww.abuya.com.cn:6888\u002Fweb\u002Findex.html \"广州农产品价格数据发布\")\n*   [广州市畜禽屠宰企业名单（2026年9月）](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fsj\u002Fcysj\u002Fcontent\u002Fpost_10708260.html \"广州市畜禽屠宰企业名单（2026年9月）\")\n*   [广州市2025年12月水产养殖病害预测预报](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fsj\u002Fcysj\u002Fcontent\u002Fpost_10602819.html \"广州市2025年12月水产养殖病害预测预报\")\n*   [广州市2024年10月水产养殖病害预测预报](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fsj\u002Fcysj\u002Fcontent\u002Fpost_9924348.html \"广州市2024年10月水产养殖病害预测预报\")\n*   [广州市2023年12月水产养殖病害预测预报](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fsj\u002Fcysj\u002Fcontent\u002Fpost_9376420.html \"广州市2023年12月水产养殖病害预测预报\")\n*   [【一图读懂】《2023年广州市农业主导品种和主推...](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fsj\u002Fcysj\u002Fcontent\u002Fpost_9131131.html \"【一图读懂】《2023年广州市农业主导品种和主推技术》\")\n\n##### [更多>>](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzxyw\u002Fsn\u002Findex.html)三农\n\n*   [广州农情](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fsj\u002Fsn\u002Fgznq\u002Findex.html \"广州农情\")\n*   [三品一标](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fsj\u002Fsn\u002Fspyb\u002Findex.html \"三品一标\")\n*   [省名特优新](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fsj\u002Fsn\u002Fsmtyx\u002Findex.html \"省名特优新\")\n*   [“粤字号”农业品牌](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fsj\u002Fsn\u002Fsmpcp\u002Findex.html \"“粤字号”农业品牌\")\n*   [畜禽屠宰企业](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fsj\u002Fsn\u002Fxqtzqy\u002Findex.html \"畜禽屠宰企业\")\n\n 您现在的位置： [首页](http:\u002F\u002Fnyncj.gz.gov.cn\u002F)>[政务](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Ftzgg\u002F)>[政务要闻](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002F)>[工作动态](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt\u002F)\n\n**政务要闻**[工作动态](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt)[区镇连线](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fqzdt)[政声传递](http:\u002F\u002Fwww.gd.gov.cn\u002Fxxts\u002F)[图片新闻](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Ftpxw)[三农要闻](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fsnyw)[他山之石](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Ftszs)[媒体报道](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fmtbd)**政务要闻**\n\n## 农技赋能助丰收 精准服务保粮安 —— 广州市农业农村科学院赴花都区开展晚造粮食生产技术指导\n\n###### 来源： **广州市农业农村科学院** 时间： 2026-09-21 14:56:53  浏览次数：_35_\n\n为深入贯彻落实国家粮食安全战略，进一步压紧压实粮食生产责任，持续巩固晚造粮食生产良好态势，近日，广州市农业农村科学院联合花都区农业技术管理中心，组建农技专家服务团队，深入花都区粮食生产核心基地，开展常态化、精准化田间技术帮扶和实地指导服务，全力护航秋粮丰产丰收。\n\n当前正值晚造粮食作物生长发育的关键时期，田间管理的质量直接关系秋粮收成。专家团队先后深入水稻、鲜食玉米连片种植区，实地察看作物长势，系统掌握田间管护情况，围绕水肥精准调控、绿色病虫害防控、自留种提纯复壮、粮食产销对接、惠农补贴政策申报等现实问题，现场为种植户答疑解惑，切实提升农户科学种粮技术水平，充分激发各类种粮主体的生产积极性。\n\n在花东镇水稻种植片区，晚造水稻已进入穗分化关键阶段。农技专家现场指导农户科学追施促穗肥，为实现穗大粒多、稳产丰产筑牢生长根基。针对采用自留种的田块，专家开展手把手实操教学，现场示范田间除杂技术，严守种子纯度关口，从源头上保障稻谷品质。在花山镇鲜食玉米生产基地，专家引导种植户实行错期分批播种，有效规避大批量集中上市带来的收购价格下行风险。同时，叮嘱种植主体密切监测草地贪夜蛾、茎腐病、南方锈病等重大病虫害发生动态，秉持“预防为主、综合防治”理念，扎实做好病虫害监测与防控工作。\n\n广州市农业农村科学院长期扎根花都农业生产一线，持续开展粮食作物新优品种选育与示范推广，多方联动共建多处百亩连片水稻示范田，推进规模化示范种植。针对华南地区台风多发、降雨集中，水稻成熟收割期易发生倒伏、穗上发芽等突出生产难题，下一步，将以品种改良创新、机插秧技术集成应用为双抓手，协同攻关破解生产痛点，充分挖掘粮食单产提升潜力，全力保障广州市粮食生产安全。\n\n![Image 11: 图片1.png](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fimg\u002F1\u002F1692\u002F1692565\u002F11014185.png)![Image 12: 图片2.png](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fimg\u002F1\u002F1692\u002F1692566\u002F11014185.png)\n\n[![Image 13: 打印](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002F2013xl_btn_dy.jpg)](javascript:void(0);)\n\n**相关信息**\n\n分享到：\n\n#### [微信扫一扫：分享 ![Image 14](blob:http:\u002F\u002Flocalhost\u002F358fea8cddd7946d7d135b9ecfc202e4) 扫一扫，分享给好友或朋友圈](javascript:;)[](https:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=https%3A%2F%2Fnyncj.gz.gov.cn%2Fzw%2Fzwyw%2Fgzdt%2Fcontent%2Fpost_11014185.html&title=%E5%86%9C%E6%8A%80%E8%B5%8B%E8%83%BD%E5%8A%A9%E4%B8%B0%E6%94%B6%20%E7%B2%BE%E5%87%86%E6%9C%8D%E5%8A%A1%E4%BF%9D%E7%B2%AE%E5%AE%89%20%E2%80%94%E2%80%94%20%E5%B9%BF%E5%B7%9E%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E7%A7%91%E5%AD%A6%E9%99%A2%E8%B5%B4%E8%8A%B1%E9%83%BD%E5%8C%BA%E5%BC%80%E5%B1%95%E6%99%9A%E9%80%A0%E7%B2%AE%E9%A3%9F%E7%94%9F%E4%BA%A7%E6%8A%80%E6%9C%AF%E6%8C%87%E5%AF%BC&pic=https%3A%2F%2Fnyncj.gz.gov.cn%2Fimages%2F2021_gzgov_logo_small.png&appkey=)[](http:\u002F\u002Fconnect.qq.com\u002Fwidget\u002Fshareqq\u002Findex.html?url=https%3A%2F%2Fnyncj.gz.gov.cn%2Fzw%2Fzwyw%2Fgzdt%2Fcontent%2Fpost_11014185.html&title=%E5%86%9C%E6%8A%80%E8%B5%8B%E8%83%BD%E5%8A%A9%E4%B8%B0%E6%94%B6%20%E7%B2%BE%E5%87%86%E6%9C%8D%E5%8A%A1%E4%BF%9D%E7%B2%AE%E5%AE%89%20%E2%80%94%E2%80%94%20%E5%B9%BF%E5%B7%9E%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E7%A7%91%E5%AD%A6%E9%99%A2%E8%B5%B4%E8%8A%B1%E9%83%BD%E5%8C%BA%E5%BC%80%E5%B1%95%E6%99%9A%E9%80%A0%E7%B2%AE%E9%A3%9F%E7%94%9F%E4%BA%A7%E6%8A%80%E6%9C%AF%E6%8C%87%E5%AF%BC&source=%E5%86%9C%E6%8A%80%E8%B5%8B%E8%83%BD%E5%8A%A9%E4%B8%B0%E6%94%B6%20%E7%B2%BE%E5%87%86%E6%9C%8D%E5%8A%A1%E4%BF%9D%E7%B2%AE%E5%AE%89%20%E2%80%94%E2%80%94%20%E5%B9%BF%E5%B7%9E%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E7%A7%91%E5%AD%A6%E9%99%A2%E8%B5%B4%E8%8A%B1%E9%83%BD%E5%8C%BA%E5%BC%80%E5%B1%95%E6%99%9A%E9%80%A0%E7%B2%AE%E9%A3%9F%E7%94%9F%E4%BA%A7%E6%8A%80%E6%9C%AF%E6%8C%87%E5%AF%BC&desc=%E5%B9%BF%E5%B7%9E%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E5%B1%80&pics=https%3A%2F%2Fnyncj.gz.gov.cn%2Fimages%2F2021_gzgov_logo_small.png)[](http:\u002F\u002Fsns.qzone.qq.com\u002Fcgi-bin\u002Fqzshare\u002Fcgi_qzshare_onekey?url=https%3A%2F%2Fnyncj.gz.gov.cn%2Fzw%2Fzwyw%2Fgzdt%2Fcontent%2Fpost_11014185.html&title=%E5%86%9C%E6%8A%80%E8%B5%8B%E8%83%BD%E5%8A%A9%E4%B8%B0%E6%94%B6%20%E7%B2%BE%E5%87%86%E6%9C%8D%E5%8A%A1%E4%BF%9D%E7%B2%AE%E5%AE%89%20%E2%80%94%E2%80%94%20%E5%B9%BF%E5%B7%9E%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E7%A7%91%E5%AD%A6%E9%99%A2%E8%B5%B4%E8%8A%B1%E9%83%BD%E5%8C%BA%E5%BC%80%E5%B1%95%E6%99%9A%E9%80%A0%E7%B2%AE%E9%A3%9F%E7%94%9F%E4%BA%A7%E6%8A%80%E6%9C%AF%E6%8C%87%E5%AF%BC&desc=%E5%B9%BF%E5%B7%9E%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E5%B1%80&summary=%E5%B9%BF%E5%B7%9E%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E5%B1%80&site=%E5%86%9C%E6%8A%80%E8%B5%8B%E8%83%BD%E5%8A%A9%E4%B8%B0%E6%94%B6%20%E7%B2%BE%E5%87%86%E6%9C%8D%E5%8A%A1%E4%BF%9D%E7%B2%AE%E5%AE%89%20%E2%80%94%E2%80%94%20%E5%B9%BF%E5%B7%9E%E5%B8%82%E5%86%9C%E4%B8%9A%E5%86%9C%E6%9D%91%E7%A7%91%E5%AD%A6%E9%99%A2%E8%B5%B4%E8%8A%B1%E9%83%BD%E5%8C%BA%E5%BC%80%E5%B1%95%E6%99%9A%E9%80%A0%E7%B2%AE%E9%A3%9F%E7%94%9F%E4%BA%A7%E6%8A%80%E6%9C%AF%E6%8C%87%E5%AF%BC&pics=https%3A%2F%2Fnyncj.gz.gov.cn%2Fimages%2F2021_gzgov_logo_small.png)\n\n[](javascript:;)\n*   [![Image 15](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002Frx12345.png)](https:\u002F\u002Fwww.gz.gov.cn\u002Fgz12345\u002F)\n*   [![Image 16](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002F2018m_xczx.jpg)](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt\u002Fcontent\u002Fpost_11014185.html#)![Image 17](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002Fxczx_m.png) \n*   [](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt\u002Fcontent\u002Fpost_11014185.html#)![Image 18](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002Fwb.jpg) \n*   [](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt\u002Fcontent\u002Fpost_11014185.html#)![Image 19](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002Fweixin.jpg) \n*   [](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt\u002Fcontent\u002Fpost_11014185.html#)![Image 20](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002Fwm_clz.jpg) \n*   [](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fzw\u002Fzwyw\u002Fgzdt\u002Fcontent\u002Fpost_11014185.html#)![Image 21](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002Fnbs.jpg) \n*   [![Image 22](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002F2018mjt.jpg)](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fwzxg\u002Fjgjwjbyx\u002Findex.html)\n*   [![Image 23](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002F2018-shce-mail.jpg)](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fwzxg\u002Fshcejbyx\u002Findex.html)\n\n[关于我们](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fwzxg\u002Fgywm\u002Findex.html \"关于我们\")|[网站地图](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fwzxg\u002Fwzdt\u002Findex.html \"网站地图\")|[联系我们](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fwzxg\u002Flxwm\u002Findex.html \"联系我们\")|[网站申明](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fwzxg\u002Fwzsm\u002Findex.html \"网站申明\")|[隐私安全](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fwzxg\u002Fysaq\u002Findex.html \"隐私安全\")|[使用帮助](http:\u002F\u002Fnyncj.gz.gov.cn\u002Fwzxg\u002Fsybz\u002Findex.html \"使用帮助\")\n\n广州市农业农村科学院版权所有，未经授权禁止复制或建立镜像\n\n主办单位：广州市农业农村局  运营维护及技术支持：广州市农业农村科学院  访问人数统计：_9684890_\n\n[![Image 24](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002Fghs.png)公安机关备案号：44011102001333](http:\u002F\u002Fwww.beian.gov.cn\u002Fportal\u002FregisterSystemInfo?recordcode=44011102001333)[粤ICP备20004752号-1](http:\u002F\u002Fbeian.miit.gov.cn\u002F)网站标识码：4401000027\n\n[![Image 25](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002Fnred.png)](http:\u002F\u002Fbszs.conac.cn\u002Fsitename?method=show&id=080C6254AE2B3C44E053022819AC84D6)\n\n![Image 26](https:\u002F\u002Fzfwzgl.www.gov.cn\u002Fexposure\u002Fimages\u002Fjiucuo.png?v=4401000027)\n\n![Image 27](https:\u002F\u002Fnyncj.gz.gov.cn\u002Fimages\u002Fwzafw.png)","广州市农业农村科学院","2026-09-18T00:00:00Z",39,{"impact":92,"substance":92,"depth":19,"authority":12,"freshness":465,"relevant":20,"comment":466},7,"地市级农科院常规技术指导通稿，正文缺失、信息增量有限，仅具地方服务动态价值，不建议进入每日精选。",[468],{"name":461,"url":458},[26,470,471,472,473],"鲜食玉米","晚造粮食生产","农技指导","广州花都",{"code":31,"slug":32,"name":33,"path":34,"parent_code":8},[],{"status":37,"locked":13,"version":38,"method":39,"evidence":477},{"candidates":478,"agricultural_evidence":45,"reason":63},[479,483],{"code":43,"score":44,"supported":45,"title":480,"abstract":481,"tags":482},[26],[26],[26],{"code":168,"score":44,"supported":45,"title":484,"abstract":485,"tags":486},[171],[171],[470],[488,489],"广州农科院 花都 晚造","水稻 鲜食玉米 技术指导","广州农科院花都晚造-3118","2026-09-22T00:05:36.766978Z"]