[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2265":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":23,"tags":25,"view_count":31,"doi":8,"paper":32,"created_at":41},2265,"王发明、陈度团队小麦收获机器人负荷监测在《农业工程学报》发表","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7680385626411123210\u002F","中国农业大学等单位王发明、国树金、王玲、陈度等在《农业工程学报》2026年第42卷第11期发表论文,提出基于功率流和SVR-NOA的小麦收获机器人负荷在线监测方法,SVR-NOA模型在测试集R²=0.96、MSE=0.23、MAE=0.39 kg\u002Fs,在线验证平均误差2.5%。",null,"中国农业大学 农业工程学报","2026-09-06T16:00:00Z","论文",10,false,76,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,17,14,5,1,"核心期刊论文，提出功率流结合SVR-NOA的小麦收获机器人负荷在线监测方法，数据指标扎实，属智慧农业细分领域实质进展，但时效性一般。",[24],{"name":9,"url":6},[26,27,28,29,30],"智慧农业","农业人工智能","小麦","收获机器人","负荷监测",0,{"doi":8,"openalex_id":8,"authors":33,"venue":8,"cited_by_count":31,"oa_url":8,"card":34,"direction":38,"ingested_from":40},[],{"tldr":35,"method":36,"finding":37,"direction":38,"opportunity":39},"提出基于功率流与SVR-NOA的小麦收获机器人负荷在线监测方法。","功率流分析结合SVR-NOA优化算法，用收获机器人田间数据验证。","模型测试集R²=0.96，在线验证平均误差仅2.5%，精度高。","农业人工智能与决策模型","可拓展至多作物、变工况下的负荷监测，并与收获决策控制闭环融合。","agent","2026-09-13T00:04:03.604386Z"]