[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4407":3,"related-4407":83},{"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":27,"primary_topic":33,"secondary_topics":39,"classification":40,"search_phrases":64,"slug":67,"view_count":20,"doi":68,"paper":69,"created_at":82},4407,"From Downstream Demand to Upstream Innovation: How a Digital Platform Coordinates Agri-Food Value Chain Upgrading—The Case of Taotian Digital 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。",null,"Frontiers in Sustainable Food Systems 2026-10-02 接受","2026-10-02T00:00:00Z","论文",25,false,78,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},18,22,14,6,1,"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。",[23,24],{"name":9,"url":6},{"name":25,"url":26},"Frontiers in Sustainable Food Systems","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1972526",[28,29,30,31,32],"数字农业","猕猴桃","农业数字化","数字平台","农产品价值链",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},"B2","fruit","果树","\u002Ftopic\u002Fhorticulture\u002Ffruit","B",[],{"status":41,"locked":13,"version":42,"method":43,"evidence":44},"classified","2026-10-22.2","rules",{"candidates":45,"agricultural_evidence":49},[46,54,59],{"code":47,"score":48,"supported":49,"title":50,"abstract":52,"tags":53},"I1",10,true,[51],"digital agriculture",[],[30,28],{"code":34,"score":55,"supported":49,"title":56,"abstract":57,"tags":58},4,[],[29],[29],{"code":60,"score":20,"supported":13,"title":61,"abstract":62,"tags":63},"I",[],[],[30],[65,66],"淘天集团 猕猴桃 数字平台","数字农业 价值链 案例研究","淘天集团猕猴桃数字平台-4407","10.3389\u002Ffsufs.2026.1972526\u002Ffull",{"doi":68,"openalex_id":70,"authors":71,"venue":25,"cited_by_count":74,"oa_url":26,"card":75,"direction":79,"ingested_from":81},"W7221535736",[72],{"name":73,"orcid":8},"Fan Cao",0,{"tldr":76,"method":77,"finding":78,"direction":79,"opportunity":80},"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",{"total":19,"page":20,"page_size":19,"items":84},[85,133,171,234,300,383],{"id":86,"title":87,"url":88,"summary":89,"summary_zh":8,"content":90,"source_name":91,"source_url":8,"published_at":92,"category":93,"cover_url":8,"hotness":48,"is_selected":13,"score":94,"score_detail":95,"sources":99,"tags":101,"primary_topic":105,"secondary_topics":106,"classification":113,"search_phrases":128,"slug":131,"view_count":20,"doi":8,"paper":8,"created_at":132},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","报道",32,{"impact":96,"substance":19,"depth":97,"authority":96,"freshness":97,"relevant":20,"comment":98},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。",[100],{"name":91,"url":88},[102,29,103,104],"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},[107],{"code":108,"slug":109,"name":110,"path":111,"parent_code":112},"F1","seed-industry","种业与品种管理","\u002Ftopic\u002Finputs-equipment\u002Fseed-industry","F",{"status":41,"locked":13,"version":42,"method":43,"evidence":114},{"candidates":115,"agricultural_evidence":49},[116,122],{"code":34,"score":117,"supported":49,"title":118,"abstract":119,"tags":121},15,[29],[120,29],"柑橘",[29],{"code":108,"score":123,"supported":49,"title":124,"abstract":126,"tags":127},12,[125],"种质资源",[125],[102],[129,130],"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":134,"title":135,"url":136,"summary":137,"summary_zh":8,"content":138,"source_name":139,"source_url":8,"published_at":140,"category":93,"cover_url":8,"hotness":48,"is_selected":13,"score":141,"score_detail":142,"sources":144,"tags":146,"primary_topic":151,"secondary_topics":152,"classification":153,"search_phrases":166,"slug":169,"view_count":74,"doi":8,"paper":8,"created_at":170},4266,"上海金山区举办果树产业绿色智慧发展技术研讨会","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7691262770355995199\u002F","9月29日上海金山区委统战部和区农业农村委联合举办果树产业绿色智慧发展技术研讨会。市农科院研究员骆军作《智慧化果园管理技术进展》报告、奚晓军作《葡萄智慧果园建设与数字化管控技术》报告、市农技中心博士陶海玉作《现代果园智慧提升前沿技术》报告，共同探讨果园绿色化智慧化建设路径。","## 构建生态种植体系，赋能果园智管升级——金山区举办果树产业绿色智慧发展技术研讨会\n\n2026-09-30 17:53·[田舍风物](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAA2JO9o5WFfAutKbO3-HIWZ7VRDW8sfqqvQFLJ_XKCq-tgQYyWVwPY2Pmd1TlFr130\u002F?source=tuwen_detail)\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-ezhpy3drpa\u002F5a049e06f15d4724a4f40d553927667b~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791849966&x-signature=S1ZwuoY8OJsqX8BdUzqLvZP7ez4%3D)![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-ezhpy3drpa\u002F7e8e0f97855b48938a4b78ad5549953c~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791849966&x-signature=JSMuvqYsvDzw5GzxvftSCHvcL%2Fk%3D)\n为深入贯彻落实现代农业绿色高质量发展相关工作要求，充分发挥统一战线“同心聚力”优势，汇聚农业专家、农技人员、农业主体合力，以科技为抓手，加快推进金山区经济果林产业标准化、品牌化、数字化转型升级，9月29日，区委统战部和区农业农村委联合举办金山区果树产业绿色智慧发展技术研讨会。区委统战部副部长苏振洪出席会议，区农技中心党支部书记卢春光主持会议。会议邀请市农科院、市农技中心相关专家作专题报告，区、镇两级果树产业技术人员、果树种植户代表参加会议。\n\n![Image 3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-ezhpy3drpa\u002F582bf87a812c46d8a7473c0cfb723396~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791849966&x-signature=kdjgepwFVB8237AGJxHgP%2BVVJkA%3D)\n会上，苏振洪指出，要持续深耕品牌化建设，共同推进我区果业高质量发展，对标果树产业国际化发展标准，抓实示范点位建设；要充分吸纳专家意见，用好专家工作站平台，走绿色、高效、智慧的现代化果业发展路径；要坚守产业发展底层逻辑，积极应对多维市场挑战，持续做强产业链，并落实好从业人员保险等基础保障工作，筑牢产业发展根基。\n\n本次研讨会聚焦果树产业绿色转型、智慧升级，邀请三位行业专家带来前沿专题报告，助力金山果树产业提质增效。\n\n市农科院研究员骆军以《智慧化果园管理技术进展》为题作专题报告，围绕产业发展概况、上海果园机械化、智慧化管理适配技术探索、果园智慧机械研发以及智慧果园建设的条件与问题四个方面展开深度分享。\n\n市农科院研究员奚晓军围绕《葡萄智慧果园建设与数字化管控技术》开展专题授课，从葡萄产业现状、智慧果园建设、数字化管控技术、应用效果及产业未来展望五个方面进行系统讲解。\n\n市农技中心博士陶海玉作《现代果园智慧提升前沿技术》专题报告，深入剖析果园智慧化升级的必要性、智慧果园技术体系、技术产业化路径，并结合上海果树产业发展实际，分享智慧化转型的思考。\n\n座谈交流环节，与会专家、农技人员及种植户代表聚焦金山区果树产业发展，围绕智慧农业应用场景落地、农业劳动力短缺、果园设施升级改造及设施农业长效管护等问题展开深入交流。\n\n此次研讨会精准对接金山果树产业发展实际需求，进一步明晰了果树产业绿色化、智慧化的发展路径，助力金山果树产业高质量、可持续发展。\n\n![Image 4](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-ezhpy3drpa\u002Ff51bd117bf844340830720ab9a3eb5da~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791849966&x-signature=LdhsBrQh6ZmpcnQCplhIcDOwT4s%3D)\n**供稿：区农技中心**\n\n![Image 5](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-ezhpy3drpa\u002F944dd73a7f5c4683af74dffd55d22317~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791849966&x-signature=R5i3byEmfYM1mBCVaMcZfDTaDCM%3D)\n三农资讯 ｜ 农业旅游 ｜ 三农政策\n\n**激情 | 创新 | 务实 | 高效**\n\n**投稿邮箱 jinshansannong@sina.com**","今日头条 田舍风物 2026-09-30","2026-09-30T09:53:00Z",40,{"impact":96,"substance":123,"depth":48,"authority":19,"freshness":55,"relevant":20,"comment":143},"地市级技术研讨会，聚焦果园智慧化与数字化管控，有专家报告实质内容，但层级与时效性一般。",[145],{"name":139,"url":136},[28,147,148,149,150],"智慧农业","智慧果园","果树产业","上海金山",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":13,"version":42,"method":43,"evidence":154},{"candidates":155,"agricultural_evidence":49},[156,161],{"code":34,"score":18,"supported":49,"title":157,"abstract":158,"tags":160},[36],[36,159],"葡萄",[],{"code":47,"score":162,"supported":13,"title":163,"abstract":164,"tags":165},2,[],[],[28,147],[167,168],"上海金山区 果树产业 智慧发展","骆军 智慧化果园管理技术","上海金山区果树产业智慧发展-4266","2026-10-06T00:05:02.406626Z",{"id":172,"title":173,"url":174,"summary":175,"summary_zh":176,"content":8,"source_name":177,"source_url":174,"published_at":178,"category":11,"cover_url":8,"hotness":48,"is_selected":13,"score":179,"score_detail":180,"sources":182,"tags":184,"primary_topic":188,"secondary_topics":189,"classification":190,"search_phrases":212,"slug":215,"view_count":55,"doi":216,"paper":217,"created_at":233},3780,"Epistemological Friction: Embodied Expertise and the ‘Last Mile’ of Agricultural Automation in the US Tree‐Fruit Industry","https:\u002F\u002Fdoi.org\u002F10.1111\u002Fntwe.70047","ABSTRACT Autonomous and AI‐driven agricultural technology is often framed as a panacea for labour dependency. While proponents envision autonomous technologies seamlessly optimising farming, this rationalised model misunderstands the reality of on‐farm integration. Based on an ethnographic and comparative study of 16 operations in the US West Coast Tree Fruit Industry (California and Washington), this article examines the ‘last mile’ of agricultural automation. The study reveals that integrating AI and robotics is a contested negotiation shaped by epistemological friction—the tension between the algorithmic logic of developers and the embodied, site‐specific expertise of farmers and farm workers. Rather than resulting in seamless labour replacement, we find that agricultural automation reconfigures work, creating an invisible reliance on ‘human middleware’ to navigate the biological recalcitrance of the orchard. Demonstrating how regional contexts and participatory implementation shape technological trajectories, this study extends Labour Process Theory. We argue for the need for a relational approach recognising the essential cognitive labour of farmers and farm workers that is demanded by digital agriculture. Ultimately, this study shows the ‘farm of the future’ depends on reconciling rigid systems with the situated expertise of the farm workforce.","自主与人工智能驱动的农业技术常被描绘为解决劳动力依赖问题的万能药。支持者设想自主技术能够无缝优化农业生产，然而这种理性化模型误解了农场整合的现实。本文基于对美国西海岸果树产业（加利福尼亚州和华盛顿州）16家经营主体的民族志比较研究，考察农业自动化的“最后一英里”。研究发现，人工智能与机器人技术的整合是一场充满争议的协商过程，其受到认识论摩擦的塑造——即开发者的算法逻辑与农民及农场工人具身的、场所特定的专业知识之间的张力。我们发现，农业自动化并未实现无缝的劳动力替代，而是重构了工作形态，制造了对“人类中间件”的隐性依赖，以应对果园的生物性阻力。本研究通过展示区域情境与参与式实施如何塑造技术轨迹，拓展了劳动过程理论。我们主张需要一种关系性方法，承认数字农业所要求的农民和农场工人不可或缺的认知劳动。最终，本研究表明“未来农场”取决于刚性系统与农场劳动力情境化专业知识之间的调和。","New Technology Work and Employment","2026-09-27T00:00:00Z",80,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":96,"relevant":20,"comment":181},"基于美西16家果园民族志研究，揭示AI与机器人落地的“最后一公里”认识论摩擦与“人类中间件”隐性依赖，对智慧农业人机协同具参考价值。",[183],{"name":177,"url":174},[28,147,185,186,187],"农业人工智能","农业机器人","果园自动化",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":41,"locked":13,"version":42,"method":43,"evidence":191},{"candidates":192,"agricultural_evidence":49},[193,197,202,207],{"code":47,"score":96,"supported":49,"title":194,"abstract":195,"tags":196},[],[28,51],[28,147],{"code":34,"score":19,"supported":49,"title":198,"abstract":199,"tags":201},[],[36,200],"orchard",[],{"code":203,"score":20,"supported":13,"title":204,"abstract":205,"tags":206},"F6",[],[],[186],{"code":208,"score":20,"supported":13,"title":209,"abstract":210,"tags":211},"I2",[],[],[185],[213,214],"美国 果树 自动化","果园 机器人 劳动力","美国果树自动化-3780","10.1111\u002Fntwe.70047",{"doi":216,"openalex_id":218,"authors":219,"venue":177,"cited_by_count":74,"oa_url":226,"card":227,"direction":232,"ingested_from":81},"W7214618881",[220,223],{"name":221,"orcid":222},"M. Anne Visser","https:\u002F\u002Forcid.org\u002F0000-0001-5047-7702",{"name":224,"orcid":225},"Alex Bladimir Hernandez","https:\u002F\u002Forcid.org\u002F0009-0001-5320-7203","https:\u002F\u002Fonlinelibrary.wiley.com\u002Fdoi\u002Fpdfdirect\u002F10.1111\u002Fntwe.70047",{"tldr":228,"method":229,"finding":230,"direction":79,"opportunity":231},"通过美西果树业民族志研究，揭示农业自动化落地中算法逻辑与农户经验知识的冲突。","对加州和华盛顿16个果园开展民族志与比较研究。","自动化未无缝替代劳动，反而依赖‘人类中间件’协调生物不确定性。","可探索参与式设计如何将农户隐性知识嵌入AI系统，弥合‘最后一英里’鸿沟。","智慧农业 \u002F 农业物联网","2026-09-29T23:30:12.281947Z",{"id":235,"title":236,"url":237,"summary":238,"summary_zh":8,"content":8,"source_name":25,"source_url":8,"published_at":239,"category":11,"cover_url":8,"hotness":48,"is_selected":13,"score":240,"score_detail":241,"sources":245,"tags":247,"primary_topic":251,"secondary_topics":252,"classification":258,"search_phrases":287,"slug":290,"view_count":162,"doi":8,"paper":291,"created_at":299},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":242,"substance":17,"depth":16,"authority":243,"freshness":96,"relevant":20,"comment":244},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。",[246],{"name":25,"url":237},[147,248,29,249,250],"农户采纳","陕西","数字农业技术",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[253],{"code":254,"slug":255,"name":256,"path":257,"parent_code":112},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers",{"status":41,"locked":13,"version":42,"method":43,"evidence":259},{"candidates":260,"agricultural_evidence":49},[261,265,271,278,283],{"code":34,"score":123,"supported":49,"title":262,"abstract":263,"tags":264},[29],[29],[29],{"code":254,"score":266,"supported":49,"title":267,"abstract":269,"tags":270},11,[268],"养分管理",[268],[],{"code":272,"score":273,"supported":49,"title":274,"abstract":275,"tags":277},"H2",3,[],[276],"土壤",[],{"code":279,"score":20,"supported":13,"title":280,"abstract":281,"tags":282},"G2",[],[],[248],{"code":47,"score":20,"supported":13,"title":284,"abstract":285,"tags":286},[],[],[147],[288,289],"陕西 猕猴桃 数字养分管理","产量安全错失恐惧 农户采纳","陕西猕猴桃数字养分管理-3245",{"doi":8,"openalex_id":8,"authors":292,"venue":8,"cited_by_count":74,"oa_url":8,"card":293,"direction":79,"ingested_from":298},[],{"tldr":294,"method":295,"finding":296,"direction":79,"opportunity":297},"陕西675户猕猴桃种植户调研发现，产量安全错失恐惧阻碍数字养分管理技术采纳，试错体验可缓解。","对陕西675户猕猴桃种植户问卷调查，分析FoMO与三种数字技术采纳意向关系。","产量安全错失恐惧持续负向影响采纳；动手试错体验提升土壤检测仪和叶绿素仪采纳，对App影响小。","可探究不同数字农业技术中试错体验的差异化机制，设计降低农户FoMO的干预策略。","agent","2026-09-23T00:04:33.090863Z",{"id":301,"title":302,"url":303,"summary":304,"summary_zh":305,"content":8,"source_name":306,"source_url":303,"published_at":307,"category":11,"cover_url":8,"hotness":48,"is_selected":13,"score":308,"score_detail":309,"sources":312,"tags":314,"primary_topic":318,"secondary_topics":319,"classification":325,"search_phrases":346,"slug":349,"view_count":55,"doi":350,"paper":351,"created_at":382},2617,"Dynamic ROI-constrained UAV multispectral estimation of single-plant LAI in trellis-trained 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":242,"substance":17,"depth":16,"authority":18,"freshness":310,"relevant":20,"comment":311},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。",[313],{"name":306,"url":303},[147,315,316,29,317],"无人机","农业遥感","叶面积指数",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[320],{"code":321,"slug":322,"name":323,"path":324,"parent_code":60},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"status":41,"locked":13,"version":42,"method":43,"evidence":326},{"candidates":327,"agricultural_evidence":49},[328,337,342],{"code":321,"score":329,"supported":49,"title":330,"abstract":332,"tags":336},19,[331],"multispectral",[333,334,335,331],"遥感","无人机多光谱","remote sensing",[316,317],{"code":34,"score":16,"supported":49,"title":338,"abstract":340,"tags":341},[339],"kiwifruit",[29,200,339],[29],{"code":47,"score":20,"supported":13,"title":343,"abstract":344,"tags":345},[],[],[147],[347,348],"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":350,"openalex_id":352,"authors":353,"venue":306,"cited_by_count":74,"oa_url":303,"card":376,"direction":380,"ingested_from":81},"W7213243341",[354,356,358,360,363,365,367,369,371,374],{"name":355,"orcid":8},"Wenjie Li",{"name":357,"orcid":8},"Hongen Liu",{"name":359,"orcid":8},"Linghuan Ouyang",{"name":361,"orcid":362},"Qian Chen","https:\u002F\u002Forcid.org\u002F0000-0002-7916-1370",{"name":364,"orcid":8},"Tianqi Lv",{"name":366,"orcid":8},"Jiali Li",{"name":368,"orcid":8},"Xintao Lin",{"name":370,"orcid":8},"Chen Yao",{"name":372,"orcid":373},"Yongqiang Zheng","https:\u002F\u002Forcid.org\u002F0000-0003-3246-2800",{"name":375,"orcid":8},"Jianping Qian",{"tldr":377,"method":378,"finding":379,"direction":380,"opportunity":381},"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":384,"title":385,"url":386,"summary":387,"summary_zh":8,"content":388,"source_name":389,"source_url":8,"published_at":390,"category":93,"cover_url":8,"hotness":48,"is_selected":13,"score":391,"score_detail":392,"sources":396,"tags":398,"primary_topic":401,"secondary_topics":402,"classification":403,"search_phrases":419,"slug":422,"view_count":273,"doi":8,"paper":8,"created_at":423},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) | [手机版](https:\u002F\u002Fwap.sciencenet.cn\u002F)\n\n[首页](https:\u002F\u002Fwww.sciencenet.cn\u002F) | [新闻](https:\u002F\u002Fnews.sciencenet.cn\u002F) | [博客](https:\u002F\u002Fblog.sciencenet.cn\u002Fblog.php) | [院士](https:\u002F\u002Fnews.sciencenet.cn\u002Fys\u002F) | [人才](https:\u002F\u002Ftalent.sciencenet.cn\u002F) | [会议](https:\u002F\u002Fmeeting.sciencenet.cn\u002F) | [基金·项目](https:\u002F\u002Ffund.sciencenet.cn\u002F) | [论文](https:\u002F\u002Fpaper.sciencenet.cn\u002F) | [绘图](https:\u002F\u002Fvisual-web.sciencenet.cn\u002F) | [视频·直播](https:\u002F\u002Fblog.sciencenet.cn\u002Fblog.php?mod=video) | [小柯机器人](https:\u002F\u002Fpaper.sciencenet.cn\u002FAInews) | [医学科普](https:\u002F\u002Fyxkp.sciencenet.cn\u002F)\n\n作者：李晨,姬悦 来源：中国科学报 发布时间：2026\u002F9\u002F9 21:39:55 选择字号：小 中 大 新模型实现猕猴桃产地精准溯源 近日，中国农业科学院农业资源与农业区划研究所智慧农业创新团队根据可解释人工智能构建农产品产地溯源模型，在提升溯源准确率的同时揭示了光谱数据判断产地的内在逻辑，相关研究成果发表在《农业人工智能》（_**Artificial Intelligence in Agriculture**_）上。 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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农产品溯源","农业人工智能农产品溯源光谱成像智慧农业-2454","2026-09-15T00:04:22.091088Z"]