[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2116":3,"related-2116":100},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":67,"slug":70,"view_count":71,"doi":72,"paper":73,"created_at":99},2116,"Intelligent robotic systems for flower harvesting: A review of vision algorithms, end-effectors, and motion planning strategies","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compag.2026.112415","Intelligent robotic systems for flower harvesting: A review of vision algorithms, end-effectors, and motion planning strategies。Computers and Electronics in Agriculture","用于花卉采收的智能机器人系统：视觉算法、末端执行器与运动规划策略综述。《农业计算机与电子》",null,"Computers and Electronics in Agriculture","2026-09-10T00:00:00Z","论文",10,false,78,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,20,14,8,1,"核心期刊综述系统梳理花卉采摘机器人的视觉算法、末端执行器与运动规划，对设施花卉智能化有实质参考价值，值得进入每日精选。",[24],{"name":10,"url":6},[26,27,28,29,30],"智慧农业","农业人工智能","采摘机器人","花卉产业","机器视觉",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"B4","flowers","花卉与观赏植物","\u002Ftopic\u002Fhorticulture\u002Fflowers","B",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,51,57,62],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":50},4,true,[],[49],"花卉",[29],{"code":52,"score":53,"supported":14,"title":54,"abstract":55,"tags":56},"I2",2,[],[],[27,30],{"code":58,"score":21,"supported":14,"title":59,"abstract":60,"tags":61},"F6",[],[],[28],{"code":63,"score":21,"supported":14,"title":64,"abstract":65,"tags":66},"I1",[],[],[26],[68,69],"农业人工智能 采摘机器人 智慧农业 机器视觉","农业人工智能 采摘机器人","农业人工智能采摘机器人智慧农业机器视觉-2116",3,"10.1016\u002Fj.compag.2026.112415",{"doi":72,"openalex_id":74,"authors":75,"venue":10,"cited_by_count":91,"oa_url":6,"card":92,"direction":96,"ingested_from":98},"W7212108390",[76,79,82,85,87,89],{"name":77,"orcid":78},"Jiao Zhang","https:\u002F\u002Forcid.org\u002F0000-0002-6947-6002",{"name":80,"orcid":81},"Dingxuan Zhao","https:\u002F\u002Forcid.org\u002F0000-0002-3372-9477",{"name":83,"orcid":84},"Seyed Mohamad Javidan","https:\u002F\u002Forcid.org\u002F0000-0003-0447-8645",{"name":86,"orcid":9},"Yiannis Ampatzidis",{"name":88,"orcid":9},"Qiyang Li",{"name":90,"orcid":9},"Zhao Zhang",0,{"tldr":93,"method":94,"finding":95,"direction":96,"opportunity":97},"综述花卉采摘智能机器人系统，涵盖视觉算法、末端执行器与运动规划策略。","文献综述，梳理视觉算法、末端执行器与运动规划三类关键技术。","花卉采摘机器人需视觉、执行器与运动规划协同优化，仍面临复杂环境挑战。","农业人工智能与决策模型","花卉采摘专用视觉算法与柔性末端执行器研究不足，可探索多臂协同与实时运动规划。","openalex","2026-09-11T23:30:01.725533Z",{"total":101,"page":21,"page_size":101,"items":102},6,[103,194,237,291,338,405],{"id":104,"title":105,"url":106,"summary":107,"summary_zh":108,"content":9,"source_name":109,"source_url":106,"published_at":110,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":111,"score_detail":112,"sources":117,"tags":119,"primary_topic":124,"secondary_topics":125,"classification":132,"search_phrases":177,"slug":180,"view_count":91,"doi":181,"paper":182,"created_at":193},5381,"Climate-Smart Floriculture: Strategies for Sustainable Flower Production Under a Changing Climate","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23467834","Floriculture is a high-value horticultural sector comprising cut flowers, potted flowering plants, foliage plants, ornamental bulbs and nursery plants. The sector is increasingly exposed to climate variability through rising temperature, drought, irregular rainfall, extreme weather events, elevated atmospheric CO₂ and changing pest and disease pressure. These stresses can influence vegetative growth, flowering, flower quality, production scheduling and postharvest performance, thereby affecting the economic value of ornamental crops. Climate-smart floriculture provides an integrated framework for improving resilience while maintaining productivity and resource-use efficiency. Key strategies include climate-resilient cultivar selection, efficient irrigation, soil-moisture conservation, protected cultivation, microclimate regulation, integrated pest management and precision technologies. Genetic improvement offers a long-term approach for developing cultivars capable of maintaining desirable ornamental traits under environmental stress, whereas protected cultivation can buffer crops against external climatic fluctuations. Efficient irrigation, rainwater harvesting and improved soil management can reduce vulnerability to water scarcity, while integrated pest management can address climate-associated changes in pest and disease pressure. Precision agriculture, controlled-environment agriculture and machine-learning-based decision systems offer additional opportunities for real-time monitoring and resource optimisation. However, technological adoption is influenced by investment costs, knowledge availability, extension services, market access and supportive policies. This article discusses the major climate-related risks to floriculture and evaluates integrated strategies for developing productive, resource-efficient and climate-resilient flower production systems.","花卉产业是一个高附加值的园艺部门，包括切花、盆栽开花植物、观叶植物、观赏球根植物和苗木。该产业日益受到气候变率的威胁，表现为气温升高、干旱、降雨不规律、极端天气事件、大气CO₂浓度升高以及病虫害压力变化。这些胁迫可影响营养生长、开花、花卉品质、生产调度和采后性能，进而影响观赏作物的经济价值。气候智慧型花卉产业提供了一个综合框架，可在保持生产力和资源利用效率的同时提高韧性。关键策略包括气候韧性品种选择、高效灌溉、土壤水分保持、设施栽培、微气候调控、病虫害综合治理和精准技术。遗传改良为培育能够在环境胁迫下保持理想观赏性状的品种提供了长期途径，而设施栽培可缓冲作物免受外部气候波动的影响。高效灌溉、雨水收集和改善的土壤管理可降低对水资源短缺的脆弱性，而病虫害综合治理可应对气候相关的病虫害压力变化。精准农业、受控环境农业和基于机器学习的决策系统为实时监测和资源优化提供了额外机会。然而，技术采用受到投资成本、知识可得性、推广服务、市场准入和支持性政策的影响。本文讨论了花卉产业面临的主要气候相关风险，并评估了发展高产、资源高效和气候韧性花卉生产系统的综合策略。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-19T00:00:00Z",77,{"impact":17,"substance":18,"depth":113,"authority":114,"freshness":115,"relevant":21,"comment":116},17,13,9,"系统综述花卉业气候风险与综合应对策略，具行业参考价值，但属综述性论文、非突破性成果。",[118],{"name":109,"url":106},[120,121,122,29,123],"精准农业","病虫害防控","气候智慧农业","设施园艺",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[126],{"code":127,"slug":128,"name":129,"path":130,"parent_code":131},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",{"status":39,"locked":14,"version":40,"method":41,"evidence":133},{"candidates":134,"agricultural_evidence":46},[135,141,147,155,160,167,172],{"code":32,"score":17,"supported":46,"title":136,"abstract":138,"tags":140},[137],"floriculture",[49,139,137],"ornamental",[29],{"code":127,"score":115,"supported":46,"title":142,"abstract":143,"tags":146},[],[144,145,128],"灌溉","水资源",[],{"code":148,"score":149,"supported":46,"title":150,"abstract":151,"tags":154},"H7",7,[],[152,153],"干旱","drought",[122],{"code":63,"score":149,"supported":46,"title":156,"abstract":157,"tags":159},[],[120,158],"precision 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农业物联网","花卉领域精准农业与机器学习决策应用少，可研究低成本智能环境调控与品种-技术协同。","2026-10-20T23:30:08.681802Z",{"id":195,"title":196,"url":197,"summary":198,"summary_zh":9,"content":199,"source_name":200,"source_url":9,"published_at":201,"category":202,"cover_url":9,"hotness":13,"is_selected":14,"score":203,"score_detail":204,"sources":209,"tags":211,"primary_topic":216,"secondary_topics":217,"classification":218,"search_phrases":232,"slug":235,"view_count":91,"doi":9,"paper":9,"created_at":236},5355,"云南农科院花卉所自育长征主题月季三款新品种首次公开亮相","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7696362334037590528","2026 年是中国工农红军长征胜利 90 周年,云南省农业科学院花卉研究所自主培育的长征主题月季在总台央视《江山万里新长征》节目中首次亮相。第一款金沙万里金色如革命星火熠熠生辉,寓意红军巧渡金沙江;第二款石鼓春江花开之时追忆江畔烽火岁月;第三款云崖暖取自金沙水拍云崖暖。云南农科院计划最快在 2027 年 7 月至 8 月向种植户提供主题月季种苗,明年年底有望上市。","## 云花“金沙万里”“石鼓春江”“云崖暖”亮相！\n\n2026-10-14 11:37·[蒙自发布](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAASV-_T0D7FJqyV-1UFbuR6NHj-Hh-R4cc-XyrHfqH0VM\u002F?source=tuwen_detail)\n\n2026年，是中国工农红军长征胜利90周年。金秋时节，繁花盛放。一批来自彩云之南、承载红色底蕴的国产月季新品种，在总台央视《江山万里新长征》节目中首次亮相，以鲜花致敬长征精神，以匠心礼赞山河盛世。\n\n在位于云南昆明的斗南花卉市场，由云南省农业科学院花卉研究所自主培育的“长征主题月季”依次排开。\n\n第一款“金沙万里”，“金沙”即金沙江，“万里”既指长征万里，也指金沙江奔流万里，寓意红军巧渡金沙江。金色如革命星火熠熠生辉。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002Fefb26be552a142fdaa56092ba3443174~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1793069485&x-signature=OjWNa3Sp%2BJjrTDeclCB%2BfhS71v4%3D)\n\n第二款“石鼓春江”，“石鼓”为长江第一湾古渡口。花开之时，追忆江畔烽火岁月，致敬波澜壮阔的峥嵘往事。\n\n![Image 2](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002Fffe0af747ae440f6b085be40adc0c70b~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1793069485&x-signature=KWab5XWy6PZd8e5TsDOpRSMTwGw%3D)\n\n第三款“云崖暖”，取自“金沙水拍云崖暖”，以花朵承载诗词里的革命豪情，花开见诗，以花传志。\n\n![Image 3](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002Ff191765ac56d47518374316b3864dc0c~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1793069485&x-signature=qAg5ywqyHiU2YfS12HT2e2siWoI%3D)\n\n这是“长征主题月季”首次公开亮相。据了解，云南省农科院计划最快在2027年7月至8月向种植户提供主题月季种苗，明年年底有望上市。\n\n这些惊艳绽放的云花新品背后，是久久为功的坚守。云南花卉科研团队经过长期不懈的努力和无数次试验，攻克种源技术难关，解决了品种适应性弱、花期短、观赏性不足等诸多技术难题。\n\n忆往昔，红军不畏艰险长征路，把命运握在自己手里；看今朝，云南把花卉种业的主动权牢牢握在自己手中，走出一条科研攻关的新长征路。\n\n![Image 4](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-6w9my0ksvp\u002F3b9cf5e9b7e4469b8f17acb909f13dbc~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1793069485&x-signature=iwO4Zl%2FULtsfBEYVLVSMoY5ATdA%3D)\n\n从左到右依次为“宝华”月季、“文秀”月季、“娇龙”月季。\n\n从昆明斗南出发，这些带着“中国芯”的花卉，如今已在各地开花。从依赖进口到自主育种，云南花卉产业的每一次突破，都是国产花卉自主创新这条长征路上的坚实足迹。\n\n**以鲜花致敬英雄**\n\n**致敬的是峥嵘岁月**\n\n**更是这份把命运**\n\n**把握在自己手里的底气与信念**\n\n* * *\n\n来源：云南发布、总台央视、云南广播电视台\n\n编辑：李倩（实习）、肖金兰","今日头条(云南发布) 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月季","云南农科院花卉所长征主题月季-5355","2026-10-20T02:47:44.766519Z",{"id":238,"title":239,"url":240,"summary":241,"summary_zh":9,"content":242,"source_name":243,"source_url":9,"published_at":244,"category":202,"cover_url":9,"hotness":245,"is_selected":14,"score":246,"score_detail":247,"sources":249,"tags":254,"primary_topic":259,"secondary_topics":260,"classification":267,"search_phrases":286,"slug":289,"view_count":21,"doi":9,"paper":9,"created_at":290},5050,"河北省农林科学院棉花所主持制定的团标《切花月季基质栽培生产技术规程》通过专家审定","http:\u002F\u002Fhebnky.com\u002Fxueshuhuodongxinxi.aspx?xshdid=1474","10月9日,河北省林木种苗协会组织专家对河北省农林科学院棉花所主持起草的团体标准《切花月季基质栽培生产技术规程》(送审稿)进行审查。编制小组就规程编制的背景、技术内容、指标依据及征求意见处理情况进行汇报,与会专家一致同意通过审查,认为标准贴合河北切花月季生产实际,具备较强指导性和实用性,将为河北省花卉产业绿色高质量发展提供技术支撑。","2026年10月9日，河北省林木种苗协会邀请河北农业大学、河北省林业和草原科学研究院、河北省林草种苗与经济林花卉中心、河北林业生态建设投资有限公司、石家庄市风景园林学会等单位的专家，组成标准审定委员会，对河北省林木种苗协会提出、棉花所主持起草的团体标准《切花月季基质栽培生产技术规程》（送审稿）进行了审查。\n\n谷瑞丰博士代表编制小组汇报了编制工作，详细介绍了规程编制的背景、技术内容、指标依据以及征求意见的处理情况等核心内容。与会专家对标准编制说明及送审稿全文进行逐条审阅，依据标准编制的相关规定和审查原则，提出了专业修改建议。经专家充分的讨论和综合评议，一致认为，标准编制依据充分，技术成熟先进，条文内容科学规范，贴合我省切花月季生产实际，具备较强的指导性和实用性，一致同意该送审稿通过审查。建议编制组严格依据审查意见，按时完成标准内容的完善工作，及时报送标准提出单位发布实施。\n\n本标准的实施，将规范我省切花月季基质栽培生产，提高切花产量和品质，为河北省花卉产业绿色高质量发展提供技术支撑。","河北省农林科学院 棉花研究所 2026年10月12日","2026-10-12T06:08:00Z",25,66,{"impact":205,"substance":17,"depth":19,"authority":206,"freshness":101,"relevant":21,"comment":248},"省级团体标准通过审定，属细分行业实质进展，但影响范围限于河北花卉产业，时效性一般，可作备选。",[250,251],{"name":243,"url":240},{"name":252,"url":253},"河北省农林科学院 2026-10-12","http:\u002F\u002Fhebnky.com\u002FXueshuhuodong.aspx",[255,256,257,29,258],"行业标准","河北省农科院","切花月季","基质栽培",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[261],{"code":262,"slug":263,"name":264,"path":265,"parent_code":266},"A6","cash-crops","棉麻糖与特色经作","\u002Ftopic\u002Ffield-crops\u002Fcash-crops","A",{"status":39,"locked":14,"version":40,"method":41,"evidence":268},{"candidates":269,"agricultural_evidence":46},[270,275,281],{"code":32,"score":271,"supported":46,"title":272,"abstract":273,"tags":274},15,[224],[49,224],[29],{"code":262,"score":276,"supported":46,"title":277,"abstract":279,"tags":280},11,[278],"棉花",[278],[],{"code":282,"score":21,"supported":14,"title":283,"abstract":284,"tags":285},"J1",[],[],[255],[287,288],"河北农科院 切花月季 基质栽培","切花月季 生产技术规程 团体标准","河北农科院切花月季基质栽培-5050","2026-10-16T00:13:11.953840Z",{"id":292,"title":293,"url":294,"summary":295,"summary_zh":9,"content":296,"source_name":297,"source_url":9,"published_at":298,"category":202,"cover_url":9,"hotness":13,"is_selected":14,"score":299,"score_detail":300,"sources":302,"tags":304,"primary_topic":309,"secondary_topics":310,"classification":311,"search_phrases":333,"slug":336,"view_count":91,"doi":9,"paper":9,"created_at":337},4279,"云南高原特色现代农业产教融合共同体成立 首批103家成员单位","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7691726893963313690\u002F","9月29日云南高原特色现代农业产教融合共同体成立大会在云南农业职业技术学院举行，共同体汇聚首批成员单位103家。云南省农科院园艺所有关专家作《云菜产业现状及科技支撑情况》主旨报告。共同体将依托云秀联合花卉产业学院菲丽雅永生花产业学院北玉种业产业学院一咖产业学院四大特色平台，推动校行企协同育人。","## 云南高原特色现代农业产教融合共同体成立\n\n2026-10-01 23:49·[金台资讯](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAL8m7IqT5eR3-VgZjzlMhg66-z57FyRmydYIImMLAsQ4\u002F?source=tuwen_detail)\n\n9月29日，云南高原特色现代农业产教融合共同体成立大会在云南农业职业技术学院举行。共同体汇聚首批成员单位103家，秉持 “农教、农科、农企三方协同，产教融合、科教融汇、专创融通三融育人” 发展思路，聚焦云南高原优势特色产业，搭建产教协同育人平台，联合开展产业技术攻关，加快科技成果转化，着力打造标杆性行业产教融合共同体，探索边疆农业职业教育发展新路径。\n\n![Image 1](https:\u002F\u002Fp3-sign.toutiaoimg.com\u002Ftos-cn-i-axegupay5k\u002Fe6a2fa2688d34819b511c28eb3fbd52b~tplv-tt-origin-web:gif.jpeg?_iz=58558&from=article.pc_detail&lk3s=953192f4&x-expires=1791850034&x-signature=KOJL5Pxb9Q3ni2bzgbq43%2B%2BmQSg%3D)\n活动现场。云南农业职业技术学院供图\n\n大会现场举行揭牌授牌仪式，与会有关负责同志共同为共同体揭牌，并向4家理事长单位授牌；各理事长单位负责人依次向副理事长单位代表授牌。\n\n作为共同体牵头单位之一，云南农业职业技术学院同步启动两项重点工作。云南省高技能人才集群培养计划项目——高原特色农业(现代农业技术领域)正式启动，标志着共同体协同育人工作正式落地起航。同时，校行企合作共建产业学院同步启动，将依托“云秀联合花卉产业学院”“菲丽雅永生花产业学院”“北玉种业产业学院”“一咖产业学院”四大特色平台，把企业真实场景、行业标准规范、生产实战任务全面融入人才培养全过程，推动校行企协同育人从单点合作迈向体系化、常态化发展。\n\n行业协会及合作企业代表纷纷表示，将充分发挥桥梁纽带作用，持续深化协同育人模式，扎实推进科教深度融合，同心同向助力云南高原特色现代农业高质量发展。云南省农科院园艺所有关专家作《“云菜”产业现状及科技支撑情况》主旨报告，立足产业发展实际，精准回应行业人才需求。\n\n云南高原特色现代农业产教融合共同体的成立，是云南省加速现代职业教育体系建设、推进产教科深度融合的务实举措，也是云南农业职业技术学院扎根云岭大地、深耕服务“三农”领域的又一重要抓手。下一步，云南农业职业技术学院将联合各成员单位凝心聚力、整合优质资源，做实做强共同体建设，为建设全国一流特色农业强省、助力乡村全面振兴贡献更大力量。(张敏)\n\n来源：云南农业职业技术学院","今日头条 金台资讯 2026-10-01","2026-10-01T15:49:00Z",60,{"impact":17,"substance":271,"depth":114,"authority":115,"freshness":207,"relevant":21,"comment":301},"省级产教融合共同体成立，有具体成员规模与产业学院落地信息，但属常规通稿，时效已过一周，适合主题聚合而非每日精选。",[303],{"name":297,"url":294},[305,29,306,307,308],"现代农业","产教融合","云菜","职业教育",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":312},{"candidates":313,"agricultural_evidence":46},[314,318,323,328],{"code":32,"score":45,"supported":46,"title":315,"abstract":316,"tags":317},[],[49],[29],{"code":228,"score":71,"supported":46,"title":319,"abstract":320,"tags":322},[],[321],"种业",[],{"code":324,"score":21,"supported":14,"title":325,"abstract":326,"tags":327},"G5",[],[],[306],{"code":329,"score":21,"supported":14,"title":330,"abstract":331,"tags":332},"J2",[],[],[305],[334,335],"云南农业职业技术学院 产业学院","产教融合 现代农业 职业教育 花卉产业","云南农业职业技术学院产业学院-4279","2026-10-06T00:05:03.351819Z",{"id":339,"title":340,"url":341,"summary":342,"summary_zh":343,"content":9,"source_name":344,"source_url":341,"published_at":345,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":346,"score_detail":347,"sources":350,"tags":352,"primary_topic":9,"secondary_topics":354,"classification":355,"search_phrases":382,"slug":385,"view_count":207,"doi":386,"paper":387,"created_at":404},4174,"Deep learning-based multi-view perception and adaptive grasp pose correction for cooperative dual-arm fruit harvesting under occlusion","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aiia.2026.09.004","This study presents a failure-recovery cooperative harvesting pipeline for a dual-arm agricultural robot, where each arm harvests independently and switches to cooperative manipulation only when a single-view grasp on an occluded fruit fails. Such cooperation is necessary because accurate grasp pose inference degrades substantially when target fruits are heavily occluded by surrounding foliage or branches; existing approaches, including explicit 6D pose estimation and shape-completion-based methods, depend on reconstructing geometric information that is often unavailable under heavy occlusion. To address this limitation, the proposed framework, referred to as the Cooperative Active Harvesting Robot Scheme (Co-AHRS), integrates direct grasp pose inference from incomplete point clouds, active multi-view perception, and closed-loop visual servoing. Instead of reconstructing hidden geometry, the framework leverages Contact-GraspNet to generate feasible grasp candidates directly from partial observations. When the initial grasp attempt fails—due to either inaccurate pose inference under heavy occlusion or physical displacement of the target fruit during approach—the opposite arm is reassigned as an auxiliary observer whose upward-facing viewpoint enables closed-loop visual servoing, continuously estimating the 3D positional error between the gripper and the target fruit for real-time pose correction. The Co-AHRS was evaluated through a laboratory implementation and achieved harvest success rates of 89.2% and 78.5% under unoccluded and occluded conditions, respectively. The proposed framework also substantially outperformed frustum-based localization (75.0% and 55.2%) and explicit 6D pose estimation (57.1% and 7.7%). A further evaluation on a second configuration built from two same-model manipulators verified that the two arms harvest in parallel and quantified the occluded condition by a visible surface ratio of 0.549 ± 0.101. These results demonstrate that direct grasp inference combined with cooperative multi-view visual feedback is an effective strategy for autonomous fruit harvesting in occlusion-prone orchard environments.","本研究提出了一种面向双臂农业机器人的失败恢复协同采收流水线：每条机械臂独立执行采收，仅当对遮挡果实的单视角抓取失败时，才切换至协同操作。这种协同是必要的，因为当目标果实被周围枝叶严重遮挡时，准确抓取位姿推断会显著退化；现有方法，包括显式6D位姿估计和基于形状补全的方法，依赖于重建几何信息，而这些信息在严重遮挡下往往无法获得。为解决这一局限，所提出的框架——称为协同主动采收机器人方案（Cooperative Active Harvesting Robot Scheme，Co-AHRS）——集成了从不完整点云直接进行抓取位姿推断、主动多视角感知以及闭环视觉伺服。该框架不重建隐藏几何结构，而是利用Contact-GraspNet直接从部分观测中生成可行抓取候选。当初始抓取尝试失败时——原因可能是严重遮挡下的位姿推断不准确，或目标果实在接近过程中发生物理位移——对侧机械臂被重新分配为辅助观察者，其朝上的视角可实现闭环视觉伺服，持续估计夹爪与目标果实之间的三维位置误差，以进行实时位姿校正。Co-AHRS通过实验室实现进行了评估，在无遮挡和有遮挡条件下分别取得了89.2%和78.5%的采收成功率。所提出的框架也显著优于基于视锥的定位（75.0%和55.2%）以及显式6D位姿估计（57.1%和7.7%）。在由两台同型号机械臂构成的第二种配置上进行的进一步评估验证了两条机械臂可并行采收，并以0.549 ± 0.101的可见表面比例量化了遮挡条件。这些结果表明，直接抓取推断结合协同多视角视觉反馈是在易遮挡果园环境中实现自主果实采收的有效策略。","Artificial Intelligence in Agriculture","2026-10-01T00:00:00Z",80,{"impact":17,"substance":348,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":349},22,"提出双臂协同主动多视角感知与闭环视觉伺服抓取修正框架，遮挡条件下采摘成功率达78.5%，方法新颖、对比充分，对果园自动化采摘有实质参考价值。",[351],{"name":344,"url":341},[26,27,28,30,353],"双臂协同",[],{"status":356,"locked":14,"version":40,"method":41,"evidence":357},"needs_review",{"candidates":358,"agricultural_evidence":46,"reason":381},[359,366,371,377],{"code":58,"score":13,"supported":46,"title":360,"abstract":361,"tags":365},[],[362,363,364],"农业机器人","agricultural robot","harvesting robot",[28],{"code":52,"score":13,"supported":46,"title":367,"abstract":369,"tags":370},[368],"deep learning",[],[27,30],{"code":372,"score":71,"supported":46,"title":373,"abstract":374,"tags":376},"B2",[],[375],"orchard",[],{"code":63,"score":21,"supported":14,"title":378,"abstract":379,"tags":380},[],[],[26],"多个产业证据相当，需要确认主归属",[383,384],"双臂采摘机器人 遮挡 抓取","Co-AHRS 多视角感知","双臂采摘机器人遮挡抓取-4174","10.1016\u002Fj.aiia.2026.09.004",{"doi":386,"openalex_id":388,"authors":389,"venue":344,"cited_by_count":91,"oa_url":397,"card":398,"direction":403,"ingested_from":98},"W7215102066",[390,392,394],{"name":391,"orcid":9},"Jeongil Seo",{"name":393,"orcid":9},"Han Ul Yoon",{"name":395,"orcid":396},"Kwang-Eun Ko","https:\u002F\u002Forcid.org\u002F0000-0001-6225-8080","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2589721726001133\u002Fpdf",{"tldr":399,"method":400,"finding":401,"direction":96,"opportunity":402},"提出双臂协作采摘框架，单臂失败时另一臂辅助多视角感知并闭环修正抓取位姿。","Contact-GraspNet直接从残缺点云推理抓取，配合主动多视角与视觉伺服","无遮挡与遮挡下采摘成功率89.2%和78.5%，显著优于6D位姿估计等方法。","可探索多臂任务分配与失败恢复策略学习，提升密集遮挡果园的自主采摘鲁棒性。","农业遥感与作物表型","2026-10-04T23:30:27.274509Z",{"id":406,"title":407,"url":408,"summary":409,"summary_zh":9,"content":410,"source_name":411,"source_url":9,"published_at":412,"category":202,"cover_url":9,"hotness":13,"is_selected":14,"score":413,"score_detail":414,"sources":416,"tags":418,"primary_topic":423,"secondary_topics":424,"classification":425,"search_phrases":441,"slug":444,"view_count":53,"doi":9,"paper":9,"created_at":445},3951,"福建与斯里兰卡开展\"产研融合\"科技成果对接——158项数字农业技术成果清单发布","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7689774472458519075\u002F","9月22日，福建省\"产研融合\"科技成果系列对接活动暨斯里兰卡数字农业与韧性提升技术专场活动在福州举办，斯里兰卡农业部农业司、环境部国家植物园司负责人等近200名代表线上参会。活动现场发布了福建省数字农业与韧性提升技术成果清单，涵盖农业、林业与花卉领域共158项成熟技术。来自中国农科院植物保护所、福建农林大学、福建省农科院数字农业研究所的5名专家进行了技术路演。","## 福建与斯里兰卡开展“产研融合”科技成果对接\n\n2026-09-26 17:32·[闽南网](https:\u002F\u002Fwww.toutiao.com\u002Fc\u002Fuser\u002Ftoken\u002FMS4wLjABAAAAsnxVLly1u1Oucv8lcaX2LYqyCQMZU4farymb_u4v4ko\u002F?source=tuwen_detail)\n\n22日，福建省“产研融合”科技成果系列对接活动暨斯里兰卡数字农业与韧性提升技术专场活动在福州举办。活动旨在深化中斯农业科技合作，助力斯里兰卡推进农业数字化转型。\n\n当天，斯里兰卡农业部农业司、环境部国家植物园司负责人，佩拉德尼亚大学及斯方农业科研院所专家、农业企业等单位近200名代表线上参会，与福建省科研院所、高校专家云端连线，围绕数字农业关键技术领域展开深入交流。\n\n活动现场发布了福建省数字农业与韧性提升技术成果清单，涵盖农业、林业与花卉领域共158项成熟技术。\n\n技术路演环节，来自中国农科院植物保护所、福建农林大学、福建省农科院数字农业研究所、福建船政交通职业学院的5名专家，围绕无人机植保技术在斯里兰卡茶产业中的应用、无人机在热带植物园水灾应急与灾后修复中的作用、植保无人机发展与水稻田应用、斯里兰卡精准农业灌溉与水肥管理技术解决方案等主题，分享了适用于斯里兰卡农业场景的前沿技术和解决方案。\n\n记者了解到，此次活动是落实“一带一路”科技创新行动计划的具体举措，也是深化海丝技术转移中心（斯里兰卡）建设的重要实践。未来我省将持续依托海丝技术转移中心平台，推动中斯双方在花卉育种、数字农业、绿色农业等领域的技术合作与项目落地，为构建中斯高水平科技合作格局注入新动能。\n\n活动由福建省创新研究院主办，福建省科技成果转化中心、海丝技术转移中心（斯里兰卡）、福建省军民两用技术创新研究院、福建省创新研究院中科育成中心等共同承办。（福建日报记者 李珂 通讯员 吴贵滨）\n\n来源：福建日报","今日头条·闽南网·2026年09月26日","2026-09-26T09:32:00Z",63,{"impact":17,"substance":205,"depth":114,"authority":13,"freshness":101,"relevant":21,"comment":415},"省级主办的中斯数字农业技术对接活动，发布158项成果清单，有实质内容但属常规科技交流，时效稍过。",[417],{"name":411,"url":408},[419,26,420,421,422],"数字农业","一带一路","农业科技合作","无人机植保",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":426},{"candidates":427,"agricultural_evidence":46},[428,432,436],{"code":63,"score":114,"supported":46,"title":429,"abstract":430,"tags":431},[419],[419],[419,26],{"code":32,"score":71,"supported":46,"title":433,"abstract":434,"tags":435},[],[49],[],{"code":437,"score":21,"supported":14,"title":438,"abstract":439,"tags":440},"F4",[],[],[422],[442,443],"福建 斯里兰卡 数字农业","海丝技术转移中心 斯里兰卡","福建斯里兰卡数字农业-3951","2026-10-02T11:53:12.606185Z"]