[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1030":3,"related-1030":70},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":33,"secondary_topics":39,"classification":45,"search_phrases":64,"slug":67,"view_count":68,"doi":8,"paper":8,"created_at":69},1030,"云南省农科院发布3项农业科研成果 为澜湄区域农业产业提供'云南技术方案' 涵盖葡萄标准化、猕猴桃品质评价、花卉智能检测","https:\u002F\u002Fapp.xinhuanet.com\u002Fnews\u002Farticle.html?articleId=20260824e95cbed0b35d4d53b8cc1d380037c921","近日,云南省农业科学院质量标准与检测技术研究所受邀参加由云南省商务厅联合南亚东南亚七国驻昆明总领事馆共同主办的'共享大市场•出口中国'系列活动,并发布3项核心农业科研成果。葡萄产业绿色发展及标准化体系构建成果聚焦葡萄全产业链绿色生产管控关键环节,搭建起科学完善的葡萄产业标准体系;中国猕猴桃品质评价技术研究建立起一套科学可行的果蔬品质评价技术体系,可为澜湄区域各类特色果蔬品质评定提供标准化参考依据;花卉智能检测技术成果及颜色图像分析系统解决了传统花卉育种与检测长期依赖育种家肉眼主观判定花色、精准度不足、难以标准化、无法实现数据化积累等弊端,实现了花卉颜色的定量、定性精准分析。此次发布的3项科研成果精准对接产业需求与跨境贸易痛点,全方位覆盖果蔬种植管控、品质评定、花卉智能检测全链条,为澜湄区域农业产业协同发展筑牢技术根基。",null,"果蔬品质是澜湄区域农产品跨境贸易的核心竞争力。云南省农科院质标所以猕猴桃为核心，建立起一套科学可行的果蔬品质评价技术体系，可为澜湄区域各类特色果蔬品质评定提供标准化参考依据，有效提升澜湄区域果蔬产品市场竞争力。云南省农科院质标所DUS测试中心发布自主研发的花卉智能检测技术成果及颜色图像分析系统，有效解决了传统花卉育种与检测长期依赖育种家肉眼主观判定花色，检测结果易受光照环境、人为主观因素干扰，存在精准度不足、难以标准化、无法实现数据化积累等弊端，难以适配数字农业发展需求。该系统的构建实现了花卉颜色的定量、定性精准分析，补齐了澜湄区域花卉产业智慧检测的技术短板，为花卉品种选育、品质定级、标准化推广提供精准技术支撑。","新华网客户端 2026-08-24","2026-08-24T00:00:00Z","报道",10,false,69,{"impact":17,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},18,14,12,7,1,"省级农科院发布多项农业科研成果，涉及标准化与智能检测，对区域农业有实质价值，但时效性稍差。",[24],{"name":10,"url":6},[26,27,28,29,30,31,32],"云南省农科院","猕猴桃","质标所","澜湄区域","葡萄标准化","花卉智能检测","云南技术方案",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},"B2","fruit","果树","\u002Ftopic\u002Fhorticulture\u002Ffruit","B",[40],{"code":41,"slug":42,"name":43,"path":44,"parent_code":38},"B4","flowers","花卉与观赏植物","\u002Ftopic\u002Fhorticulture\u002Fflowers",{"status":46,"locked":14,"version":47,"method":48,"evidence":49},"classified","2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":53},[51,58],{"code":34,"score":52,"supported":53,"title":54,"abstract":56,"tags":57},23,true,[55,27],"葡萄",[55,27],[27],{"code":41,"score":59,"supported":53,"title":60,"abstract":62,"tags":63},11,[61],"花卉",[61],[],[65,66],"云南技术方案 云南省农科院 花卉智能检测 葡萄标准化","云南技术方案 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Agriculture","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1972526\u002Ffull","曹帆基于对中国淘天集团即食猕猴桃项目的深度案例研究,通过对访谈、田野观察、企业内部文件、政府材料与公开来源的分析,揭示数字平台通过将消费者需求转化为清晰产品目标,并在生产、加工、储存、物流、销售各环节进行技术与组织协调的「需求—创新」机制;案例显示平台主导升级的持久性与包容性可能取决于稳定经济回报、可触达本地服务、可管理合规成本、风险分担安排与平台治理。","Frontiers in Sustainable Food Systems 2026-10-02 接受","2026-10-02T00:00:00Z","论文",25,78,{"impact":17,"substance":84,"depth":17,"authority":18,"freshness":71,"relevant":21,"comment":85},22,"核心期刊案例研究，揭示数字平台驱动农产品价值链升级的机制，对农业数字化转型有参考价值。",[87,88],{"name":78,"url":76},{"name":89,"url":90},"Frontiers in Sustainable Food 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Cao",0,{"tldr":129,"method":130,"finding":131,"direction":132,"opportunity":133},"基于淘天即食猕猴桃案例，揭示数字平台以需求驱动农业食品价值链升级的机制。","深度案例研究，分析访谈、田野观察、企业文件与政府材料。","平台将消费需求转为产品目标并协调全链，升级持续性取决于回报、服务、合规、风险分担与治理。","数字乡村与农业信息化","可量化平台治理与风险分担机制对农户包容性升级的影响，并比较不同品类与平台的差异。","openalex","2026-10-08T00:07:47.273966Z",{"id":137,"title":138,"url":139,"summary":140,"summary_zh":8,"content":141,"source_name":142,"source_url":8,"published_at":143,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":144,"score_detail":145,"sources":149,"tags":151,"primary_topic":155,"secondary_topics":156,"classification":163,"search_phrases":177,"slug":180,"view_count":21,"doi":8,"paper":8,"created_at":181},4399,"湖北省农科院武汉江夏国家猕猴桃种质资源圃 100 多份材料陆续进入成熟期","https:\u002F\u002Fchangjiangyun.cjyun.org\u002Fp\u002F4634134.html","湖北省农科院国家柑橘产业技术体系猕猴桃武汉综合试验站,金秋时节武汉江夏国家猕猴桃种质资源圃内 100 多份猕猴桃材料陆续进入成熟期,黄肉、红心、绿肉果实挂满枝头;金魁、金农、金阳等本土优良品种迎来丰收,副研究员罗轩评估今年长势不错、产量有增加。","汉川融媒记者 张彤：湖北的秋天什么颜色最动人？今天，我们来到汉川南河古渡，一起去寻找属于江汉平原的丰收金。\n\n汉川南河古渡，2.4万多亩生态蟹塘进入捕捞季。依托襄河活水，当地运用微孔增氧、水质调控等技术，河蟹养殖告别“靠天收”，转向生态提质。\n\n蟹肥时节，丰收滋味从塘头端上餐桌。9月30日，公安县举办陆逊湖大闸蟹丰收季厨艺大赛，以美食擦亮农产品牌。\n\n参赛厨师 莫利龙：陆逊湖大闸蟹，水质优、生长环境好、肉质紧实鲜甜、蟹黄饱满，是我们公安最具代表性的本土优质食材。","长江云 2026-10-04","2026-10-04T00:00:00Z",32,{"impact":146,"substance":71,"depth":147,"authority":146,"freshness":147,"relevant":21,"comment":148},8,5,"标题指向猕猴桃种质资源，但正文实为大闸蟹丰收报道，内容与标题严重不符，信息增量有限，不建议进入每日精选。",[150],{"name":142,"url":139},[152,27,153,154],"种业振兴","湖北省农科院","种质资源圃",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[157],{"code":158,"slug":159,"name":160,"path":161,"parent_code":162},"F1","seed-industry","种业与品种管理","\u002Ftopic\u002Finputs-equipment\u002Fseed-industry","F",{"status":46,"locked":14,"version":47,"method":48,"evidence":164},{"candidates":165,"agricultural_evidence":53},[166,172],{"code":34,"score":167,"supported":53,"title":168,"abstract":169,"tags":171},15,[27],[170,27],"柑橘",[27],{"code":158,"score":19,"supported":53,"title":173,"abstract":175,"tags":176},[174],"种质资源",[174],[152],[178,179],"湖北农科院 猕猴桃 种质资源圃","武汉江夏 猕猴桃 成熟期","湖北农科院猕猴桃种质资源圃-4399","2026-10-08T00:06:56.841965Z",{"id":183,"title":184,"url":185,"summary":186,"summary_zh":8,"content":8,"source_name":89,"source_url":8,"published_at":187,"category":80,"cover_url":8,"hotness":13,"is_selected":14,"score":188,"score_detail":189,"sources":193,"tags":195,"primary_topic":200,"secondary_topics":201,"classification":207,"search_phrases":234,"slug":237,"view_count":238,"doi":8,"paper":239,"created_at":247},3245,"Shaanxi Kiwi Farmers Break Free from Yield-Security FoMO（陕西猕猴桃农户摆脱\"产量安全错失恐惧\"）——Frontiers Sustain Food Syst 试错经验可破除数字养分管理技术采纳障碍","https:\u002F\u002Fagritechinsights.com\u002Findex.php\u002F2026\u002F09\u002F19\u002Fshaanxi-kiwi-farmers-break-free-from-yield-security-fomo","Frontiers in Sustainable Food Systems 发表研究：马来西亚博特拉大学Xia Li等学者针对中国陕西省675户猕猴桃种植户开展调研，发现\"产量安全错失恐惧（Yield-Security FoMO）\"——农户对不使用每一种可用工具以最大化产量的焦虑——是数字养分管理技术（土壤检测仪、叶绿素仪、农技咨询App等）采纳的主要障碍。研究发现，虽然感知有用性和相对优势能促进采纳，但产量安全错失恐惧对三种技术的采纳意向均呈持续负面影响。然而，参与结构化\"动手试错\"体验的农户更可能采纳土壤检测仪和叶绿素仪，且该恐惧对决策的影响更小。对农技咨询App影响较小，说明试错体验的效应可能因技术而异。该研究为农技企业和政策制定者提供启示：让农户亲手尝试新技术是弥合怀疑与采纳之间鸿沟的关键。","2026-09-19T00:00:00Z",77,{"impact":190,"substance":84,"depth":17,"authority":191,"freshness":146,"relevant":21,"comment":192},16,13,"基于675户调研揭示FoMO阻碍数字养分管理技术采纳、试错体验可缓解，对农技推广有实证参考价值。",[194],{"name":89,"url":185},[196,197,27,198,199],"智慧农业","农户采纳","陕西","数字农业技术",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[202],{"code":203,"slug":204,"name":205,"path":206,"parent_code":162},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers",{"status":46,"locked":14,"version":47,"method":48,"evidence":208},{"candidates":209,"agricultural_evidence":53},[210,214,219,225,230],{"code":34,"score":19,"supported":53,"title":211,"abstract":212,"tags":213},[27],[27],[27],{"code":203,"score":59,"supported":53,"title":215,"abstract":217,"tags":218},[216],"养分管理",[216],[],{"code":220,"score":68,"supported":53,"title":221,"abstract":222,"tags":224},"H2",[],[223],"土壤",[],{"code":226,"score":21,"supported":14,"title":227,"abstract":228,"tags":229},"G2",[],[],[197],{"code":102,"score":21,"supported":14,"title":231,"abstract":232,"tags":233},[],[],[196],[235,236],"陕西 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kiwifruit","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compag.2026.112437","Leaf area index (LAI) is a key biophysical parameter for characterizing orchard canopy structure and growth status, and it is closely associated with crop productivity. In trellis-trained orchards, severe branch overlap and persistent background interference make it difficult to delineate single-plant observation boundaries, while radiometric drift across multi-temporal observations further reduces feature comparability. To address these issues, this study proposes a dynamic ROI-constrained framework for single-plant LAI estimation from UAV multispectral imagery. First, relative radiometric calibration based on pseudo-invariant features was applied to reduce inter-date spectral bias and establish a unified radiometric baseline for multi-temporal analysis. Second, a dynamic ROI extraction algorithm was developed using dual constraints from the spatial distance percentile (P) and the local spectral purity threshold (Q). Parameter ablation results showed that the P90_Q70 combination achieved the best balance between retaining core canopy information and suppressing background noise. Compared with the best fixed-radius strategy (3.00 m), this scheme improved R 2 from 0.700 to 0.766 and reduced RMSE to 0.122. On this basis, spectral vegetation indices and near-infrared texture features were integrated to construct a multidimensional feature set. The gradient boosting decision tree (GBDT) model achieved the best predictive performance, with R 2 = 0.772, RMSE = 0.120, and RPD = 2.094, and was further used to generate high-resolution LAI maps of the orchard. These results indicate that the combination of dynamic boundary constraints and spectral purity screening can improve the robustness of single-plant feature extraction in trellis-trained kiwifruit orchards and provide a practical reference for quantitative remote sensing of other densely closed orchard systems.","叶面积指数（LAI）是表征果园冠层结构与生长状态的关键生物物理参数，与作物生产力密切相关。在棚架式栽培果园中，严重的枝条重叠和持续的背景干扰使得单株观测边界难以界定，而多时相观测间的辐射漂移进一步降低了特征可比性。为解决上述问题，本研究提出了一种基于无人机多光谱影像的单株LAI估算动态ROI约束框架。首先，采用基于伪不变特征的相对辐射校正以减小日期间的光谱偏差，为多时相分析建立统一的辐射基准。其次，利用空间距离百分位数（P）和局部光谱纯度阈值（Q）的双重约束，开发了动态ROI提取算法。参数消融结果表明，P90_Q70组合在保留核心冠层信息与抑制背景噪声之间取得了最佳平衡。与最优固定半径策略（3.00 m）相比，该方案将R²从0.700提升至0.766，并将RMSE降至0.122。在此基础上，融合光谱植被指数与近红外纹理特征构建多维特征集。梯度提升决策树（GBDT）模型取得了最佳预测性能，R²=0.772，RMSE=0.120，RPD=2.094，并进一步用于生成果园高分辨率LAI分布图。上述结果表明，动态边界约束与光谱纯度筛选相结合可提高棚架式猕猴桃果园单株特征提取的鲁棒性，并为其他密集郁闭果园系统的定量遥感提供实践参考。","Computers and Electronics in Agriculture","2026-09-15T00:00:00Z",79,{"impact":190,"substance":84,"depth":17,"authority":18,"freshness":258,"relevant":21,"comment":259},9,"提出动态ROI约束与辐射校正结合的无人机多光谱单株LAI估测框架，方法新颖、指标提升明确，对密植果园定量遥感有实用参考价值。",[261],{"name":254,"url":251},[196,263,264,27,265],"无人机","农业遥感","叶面积指数",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[268],{"code":269,"slug":270,"name":271,"path":272,"parent_code":113},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"status":46,"locked":14,"version":47,"method":48,"evidence":274},{"candidates":275,"agricultural_evidence":53},[276,285,291],{"code":269,"score":277,"supported":53,"title":278,"abstract":280,"tags":284},19,[279],"multispectral",[281,282,283,279],"遥感","无人机多光谱","remote sensing",[264,265],{"code":34,"score":17,"supported":53,"title":286,"abstract":288,"tags":290},[287],"kiwifruit",[27,289,287],"orchard",[27],{"code":102,"score":21,"supported":14,"title":292,"abstract":293,"tags":294},[],[],[196],[296,297],"叶面积指数 农业遥感 智慧农业 无人机","叶面积指数 农业遥感","叶面积指数农业遥感智慧农业无人机-2617","10.1016\u002Fj.compag.2026.112437",{"doi":299,"openalex_id":301,"authors":302,"venue":254,"cited_by_count":127,"oa_url":251,"card":325,"direction":329,"ingested_from":134},"W7213243341",[303,305,307,309,312,314,316,318,320,323],{"name":304,"orcid":8},"Wenjie Li",{"name":306,"orcid":8},"Hongen Liu",{"name":308,"orcid":8},"Linghuan Ouyang",{"name":310,"orcid":311},"Qian Chen","https:\u002F\u002Forcid.org\u002F0000-0002-7916-1370",{"name":313,"orcid":8},"Tianqi Lv",{"name":315,"orcid":8},"Jiali Li",{"name":317,"orcid":8},"Xintao Lin",{"name":319,"orcid":8},"Chen Yao",{"name":321,"orcid":322},"Yongqiang Zheng","https:\u002F\u002Forcid.org\u002F0000-0003-3246-2800",{"name":324,"orcid":8},"Jianping Qian",{"tldr":326,"method":327,"finding":328,"direction":329,"opportunity":330},"提出动态ROI约束框架，用无人机多光谱影像估算棚架猕猴桃单株LAI。","伪不变特征辐射校正、动态ROI提取（P90_Q70）、植被指数与纹理特征、GBD","动态ROI优于固定半径，GBDT最优（R²=0.772，RMSE=0.120，RPD=2.094）。","农业遥感与作物表型","可迁移至其他密植果园，探索多时相辐射校正与动态边界约束的普适性及轻量化模型。","2026-09-16T23:30:02.136941Z",{"id":333,"title":334,"url":335,"summary":336,"summary_zh":8,"content":337,"source_name":338,"source_url":8,"published_at":339,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":340,"score_detail":341,"sources":345,"tags":347,"primary_topic":351,"secondary_topics":352,"classification":353,"search_phrases":370,"slug":373,"view_count":68,"doi":8,"paper":8,"created_at":374},2454,"中国农科院资划所构建可解释 AI 模型实现猕猴桃产地精准溯源(AI in Agriculture)","https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F9\u002F571168.shtm","中国农科院农业资源与农业区划研究所智慧农业创新团队利用光谱成像技术与多模型组合策略,以中国 6 个地区猕猴桃为对象构建产地溯源模型,并运用可解释性分析方法对最优组合模型进行分层和整体解读。在提升溯源准确率的同时,揭示了光谱数据背后判断产地的内在逻辑。该研究为破解光谱分析中数据分析模型难以解释的难题提供了系统解决思路,在关键波长选择、模型稳定性提升及预测结果可信度增强等方面具有参考价值。成果发表在《Artificial Intelligence in Agriculture》。","[![Image 1: 科学网新闻频道](https:\u002F\u002Fnews.sciencenet.cn\u002Fimages\u002Fnews.jpg)](https:\u002F\u002Fnews.sciencenet.cn\u002F)\n\n[生命科学](https:\u002F\u002Fwww.sciencenet.cn\u002Flife\u002F) | [医学科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fmedicine\u002F) | [化学科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fchemistry\u002F) | [工程材料](https:\u002F\u002Fwww.sciencenet.cn\u002Fmaterial\u002F) | [信息科学](https:\u002F\u002Fwww.sciencenet.cn\u002Finformation\u002F) | [地球科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fearth\u002F) | [数理科学](https:\u002F\u002Fwww.sciencenet.cn\u002Fmathematics\u002F) | [管理综合](https:\u002F\u002Fwww.sciencenet.cn\u002Fpolicy\u002F)[站内规定](https:\u002F\u002Fblog.sciencenet.cn\u002Fblog-45-1064777.html) | 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利用光谱数据判断农产品产地时，现有方法多依赖单一算法，往往只追求预测准确度，却忽略了模型决策逻辑的解释，限制了可靠溯源模型的开发和对判断过程的理解。 科研团队以中国六个地区的猕猴桃为对象，融合光谱成像技术与多模型组合策略构建产地溯源模型，并运用可解释性分析方法对最优组合模型进行分层和整体解读，在提升溯源准确率的同时，揭示了光谱数据背后判断产地的内在逻辑。 该研究为破解光谱分析中数据分析模型难以解释的难题提供了系统解决思路，在关键波长选择、模型稳定性提升及预测结果可信度增强等方面具有参考价值，有助于推动光谱技术在农业生产与品质监管中的实际应用。研究得到国家重点研发计划、中国农业科学院科技创新工程等项目支持。 相关论文信息：https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aiia.2026.05.010 版权声明：凡本网注明“来源：中国科学报、科学网、科学新闻杂志”的所有作品，网站转载，请在正文上方注明来源和作者，且不得对内容作实质性改动；微信公众号、头条号等新媒体平台，转载请联系授权。邮箱：shouquan@stimes.cn。\n\n打印 发E-mail给：\n\n以下评论只代表网友个人观点，不代表科学网观点。\n\n[![Image 2](https:\u002F\u002Fnews.sciencenet.cn\u002Fimages\u002Fnewcomm.gif)](https:\u002F\u002Fnews.sciencenet.cn\u002Fhtml\u002Fcomment.aspx?id=571168)\n\n相关新闻 相关论文\n*   1\n*   [基金委发布2个2026年度项目指南](https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F9\u002F571167.shtm)\n\n*   2\n*   [2026年度 “澳门青年学者计划”获选结果公布](https:\u002F\u002Fnews.sciencenet.cn\u002Fhtmlnews\u002F2026\u002F9\u002F571166.shtm)\n\n*   3\n*   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