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\n即可将网页分享给您的微信好友或朋友圈。","中国农业农村信息网","2026-09-20T08:00:00Z","政策",87,{"impact":83,"substance":17,"depth":85,"authority":85,"freshness":12,"relevant":21,"comment":190},"农业农村部党组会议明确推进“人工智能+”农业并拓展无人机、物联网应用场景，属全国性政策信号，权威性与时效性俱佳，值得进入每日精选。",[192],{"name":185,"url":182},[26,27,194,195,28],"农业物联网","农业无人机",{"code":197,"slug":198,"name":199,"path":200,"parent_code":201},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",[],{"status":99,"locked":13,"version":34,"method":35,"evidence":204},{"candidates":205,"agricultural_evidence":54},[206,212,217,222,228,234,240,244],{"code":197,"score":207,"supported":54,"title":208,"abstract":210,"tags":211},12,[209],"物联网",[209],[194],{"code":146,"score":60,"supported":54,"title":213,"abstract":214,"tags":216},[],[162,215],"秋冬种",[],{"code":39,"score":218,"supported":54,"title":219,"abstract":220,"tags":221},4,[],[105],[28],{"code":223,"score":177,"supported":54,"title":224,"abstract":225,"tags":227},"A2",[],[226],"小麦",[],{"code":229,"score":177,"supported":54,"title":230,"abstract":231,"tags":233},"A4",[],[232],"油菜",[],{"code":235,"score":177,"supported":54,"title":236,"abstract":237,"tags":239},"H7",[],[238],"防灾减灾",[],{"code":45,"score":21,"supported":13,"title":241,"abstract":242,"tags":243},[],[],[26],{"code":50,"score":21,"supported":13,"title":245,"abstract":246,"tags":247},[],[],[27],[249,250],"农业农村部 人工智能","农业无人机 物联网 应用场景","农业农村部人工智能-3022","2026-09-21T00:04:31.528736Z",{"id":254,"title":255,"url":256,"summary":257,"summary_zh":8,"content":8,"source_name":258,"source_url":8,"published_at":259,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":260,"score_detail":261,"sources":263,"tags":265,"primary_topic":268,"secondary_topics":272,"classification":282,"search_phrases":310,"slug":313,"view_count":40,"doi":8,"paper":314,"created_at":322},2854,"面向冬小麦水分含量的无人机遥感自动机器学习预测——MDPI Remote Sensing","https:\u002F\u002Fwww.mdpi.com\u002F2072-4292\u002F18\u002F18\u002F3161","本研究探索了无人机遥感快速准确评估冬小麦水分含量的潜力。在开花期和灌浆期使用配备多光谱、RGB和热红外相机的无人机获取高分辨率冠层遥感图像。集成地面真值采样数据与无人机遥感数据,使用自动机器学习(AutoML)框架建立回归模型预测冬小麦水分含量(MC)。结果表明,MC预测在灌浆期表现最佳,TIR传感器精度最高(R²=0.812,MAE=0.0204,RMSE=0.0274)。多传感器融合相比单传感器方法进一步提升预测性能,MC预测的R²达0.876、MAE 0.0191、RMSE 0.0259。来自中国农业科学院农田灌溉研究所。","MDPI Remote Sensing","2026-09-15T00:00:00Z",74,{"impact":85,"substance":134,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":262},"中国农科院团队用AutoML融合多光谱、RGB与热红外无人机数据预测冬小麦水分含量，多传感器融合R²达0.876，方法新颖、结论可靠，对精准灌溉有实用价值，值得进入每日精选。",[264],{"name":258,"url":256},[26,27,266,267,30],"无人机遥感","冬小麦",{"code":223,"slug":269,"name":226,"path":270,"parent_code":271},"wheat","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[273,278],{"code":274,"slug":275,"name":276,"path":277,"parent_code":201},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing",{"code":50,"slug":279,"name":280,"path":281,"parent_code":201},"agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",{"status":99,"locked":13,"version":34,"method":35,"evidence":283},{"candidates":284,"agricultural_evidence":54},[285,291,295,300,306],{"code":274,"score":17,"supported":54,"title":286,"abstract":289,"tags":290},[287,288],"遥感","remote 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combined harvester edging operation based on UAV imagery。Computers and Electronics in Agriculture","基于无人机影像的无人联合收割机边缘作业路径规划。《计算机与电子在农业中的应用》","Computers and Electronics in Agriculture","2026-09-04T00:00:00Z",66,{"impact":85,"substance":16,"depth":333,"authority":85,"freshness":40,"relevant":21,"comment":334},16,"论文提出基于无人机影像的联合收割机路径规划方法，属于细分领域进展，但时效性较低。",[336],{"name":329,"url":326},[26,338,27,339,28],"无人机","路径规划",{"code":39,"slug":93,"name":94,"path":95,"parent_code":96},[],{"status":99,"locked":13,"version":34,"method":35,"evidence":343},{"candidates":344,"agricultural_evidence":54},[345,350,354],{"code":39,"score":333,"supported":54,"title":346,"abstract":348,"tags":349},[347],"harvester",[157,347],[28,339],{"code":45,"score":21,"supported":13,"title":351,"abstract":352,"tags":353},[],[],[26],{"code":50,"score":21,"supported":13,"title":355,"abstract":356,"tags":357},[],[],[27],[359,360],"农业人工智能 农机装备 智慧农业 路径规划","农业人工智能 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discrete element method。Computers and Electronics in 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