[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2608":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":22,"tags":24,"view_count":30,"doi":31,"paper":32,"created_at":41},2608,"Agricultural Visual Recognition: A Novel Privacy-Preserving Framework Based on 4D Chaos and Mamba Networks","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fplant-science\u002Farticles\u002F10.3389\u002Ffpls.2026.1939691\u002Ffull","Yu等发表。提出结合多图像加密和轻量级检测的安全作物病害识别集成框架。为识别任务的数据传输安全构建基于DNA全局扩散和多通道像素扰动的四维混沌系统；进一步开发轻量级Mamba-LSDet网络用于精确加密域病害识别。配备跨阶段门控模块和共享预测头，在资源有限的农业设备上实现准确和稳健的病害检测，在轻量级YOLOv11n上表现优异，mAP@50和mAP@50-95分别为0.841和0.505。",null,"Frontiers in Plant Science 1939691","2026-09-15T01:00:00Z","论文",10,false,78,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":12,"relevant":20,"comment":21},16,21,18,13,1,"提出4D混沌加密与轻量级Mamba网络结合的加密域病害识别框架，方法新颖、指标明确，对农业数据安全与边缘部署有参考价值。",[23],{"name":9,"url":6},[25,26,27,28,29],"智慧农业","农业人工智能","作物病害","病害识别","隐私保护",0,"10.3389\u002Ffpls.2026.1939691\u002Ffull",{"doi":31,"openalex_id":8,"authors":33,"venue":8,"cited_by_count":30,"oa_url":8,"card":34,"direction":38,"ingested_from":40},[],{"tldr":35,"method":36,"finding":37,"direction":38,"opportunity":39},"提出结合四维混沌加密与Mamba网络的隐私保护作物病害识别框架。","四维混沌系统、DNA扩散、多通道像素扰动及轻量级Mamba-LSDet网络。","在加密域实现准确病害检测，mAP@50达0.841，mAP@50-95达0.505。","智慧农业 \u002F 农业物联网","加密域视觉识别与轻量网络结合，可探索多模态数据安全共享与边缘部署。","agent","2026-09-16T00:03:52.238664Z"]