[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2397":3},{"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":21,"tags":23,"view_count":29,"doi":8,"paper":30,"created_at":39},2397,"System-Level Smart Robotic Harvesting for High-Value Greenhouse Crops: A Review","https:\u002F\u002Fwww.mdpi.com\u002F2073-4395\u002F16\u002F18\u002F1795","Agronomy 2026, 16(18):1795（2026-09-13）。江苏大学Junyi Wang等综述188项主要研究，以'具身智能'为分析视角连接感知、可采性评估、决策、操控、反馈、故障传播与恢复。研究表明系统集成是主要瓶颈：可观测性不完整、场景状态短、接触不确定性、结果验证弱导致完整任务成功率、有效下降效。提出六维生产相关评价体系。",null,"MDPI Agronomy | 2026-09-13","2026-09-13T00:00:00Z","论文",10,false,82,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":12,"relevant":19,"comment":20},18,22,14,1,"江苏大学团队基于188项研究的系统级综述，指出系统集成是可观测性、接触不确定性与故障恢复等瓶颈，并提出六维生产评价体系，对温室智能采摘研发具有较高参考价值。",[22],{"name":9,"url":6},[24,25,26,27,28],"智慧农业","农业机器人","具身智能","采摘机器人","温室种植",0,{"doi":8,"openalex_id":8,"authors":31,"venue":8,"cited_by_count":29,"oa_url":8,"card":32,"direction":36,"ingested_from":38},[],{"tldr":33,"method":34,"finding":35,"direction":36,"opportunity":37},"综述188项研究，从具身智能视角分析温室高价值作物智能采收的系统集成瓶颈。","综述188项研究，以具身智能视角串联感知、可采性评估、决策、操控与反馈。","系统集成是主要瓶颈，可观测性不完整与接触不确定性导致完整任务成功率下降。","农业人工智能与决策模型","可探索面向温室采收的具身智能系统集成与六维生产评价体系，弥补任务级成功率验证空白。","agent","2026-09-14T00:06:33.089876Z"]