[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"topic-RFID":3},{"name":4,"kind":5,"tokens":6,"total":7,"page":7,"page_size":8,"items":9},"RFID","tag",[4],1,100,[10],{"id":11,"title":12,"url":13,"summary":14,"summary_zh":15,"content":16,"source_name":17,"source_url":13,"published_at":18,"category":19,"cover_url":16,"hotness":20,"is_selected":21,"score":22,"score_detail":23,"sources":29,"tags":31,"primary_topic":35,"secondary_topics":41,"classification":42,"search_phrases":68,"slug":71,"view_count":72,"doi":73,"paper":74,"created_at":88},4891,"Adaptive Confidence-Aware Multi-Antenna RFID Anti-Collision Method for Precision Livestock Monitoring","https:\u002F\u002Fdoi.org\u002F10.48175\u002Fijarsct-38829","Radio Frequency Identification (RFID) enables automatic livestock identification in precision agriculture, but simultaneous tag replies can cause collisions and increase reading delay. Earlier work combined multiple receiving antennas with Dynamic Frame Slotted ALOHA (DFSA) to improve bulk tag reading. This paper proposes a confidence-aware extension, called CA-MA-DFSA, that combines slot-outcome feedback, antenna-level response confidence, and a bounded frame-size update. The reader estimates the remaining tag population from idle, successful, and collided slots, then adjusts the next frame conservatively. Antenna observations are used to prioritize repeated interrogation of uncertain tags rather than assuming that every antenna independently identifies a new tag. A simulation plan is specified for comparison with conventional DFSA and multi-antenna DFSA. No experimental results are claimed in this draft; performance must be established through implementation and reproducible testing.","射频识别（RFID）可实现精准农业中的牲畜自动识别，但多个标签同时应答会造成碰撞并增加读取延迟。前期工作将多接收天线与动态帧时隙ALOHA（DFSA）相结合，以提升批量标签读取性能。本文提出一种置信度感知的扩展方法，称为CA-MA-DFSA，融合了时隙结果反馈、天线级响应置信度以及有界帧长更新。阅读器根据空闲、成功和碰撞时隙估计剩余标签数量，然后保守地调整下一帧。天线观测用于优先对不确定标签进行重复询问，而非假设每根天线都能独立识别一个新标签。文中给出了与传统DFSA及多天线DFSA进行对比的仿真方案。本稿未声称任何实验结果；性能须通过实现和可重复测试来确立。",null,"International Journal of Advanced Research in Science Communication and Technology","2026-10-13T00:00:00Z","论文",10,false,49,{"impact":24,"substance":25,"depth":26,"authority":27,"freshness":20,"relevant":7,"comment":28},8,12,13,6,"面向精准畜牧监测的RFID防碰撞方法学论文，仅提出仿真方案、无实验结果，方法有一定新意但证据不足，暂不宜进入每日精选。",[30],{"name":17,"url":13},[32,4,33,34],"智慧农业","畜牧监测","防碰撞算法",{"code":36,"slug":37,"name":38,"path":39,"parent_code":40},"C6","smart-livestock","养殖环境与智慧畜牧","\u002Ftopic\u002Flivestock\u002Fsmart-livestock","C",[],{"status":43,"locked":21,"version":44,"method":45,"evidence":46},"classified","2026-10-22.2","rules",{"candidates":47,"agricultural_evidence":50},[48,55,60],{"code":40,"score":49,"supported":50,"title":51,"abstract":53,"tags":54},11,true,[52],"livestock",[52],[],{"code":36,"score":24,"supported":50,"title":56,"abstract":58,"tags":59},[57],"livestock monitoring",[],[],{"code":61,"score":62,"supported":50,"title":63,"abstract":64,"tags":67},"I1",7,[],[65,66],"精准农业","precision agriculture",[32],[69,70],"RFID 畜牧 防碰撞","多天线 RFID 牲畜识别","RFID畜牧防碰撞-4891",0,"10.48175\u002Fijarsct-38829",{"doi":73,"openalex_id":75,"authors":76,"venue":17,"cited_by_count":72,"oa_url":13,"card":81,"direction":85,"ingested_from":87},"W7221675915",[77,79],{"name":78,"orcid":16},"Prof. P. T. Dhotre Prathamesh Dilip Jadhav",{"name":80,"orcid":16},"Dr. H. B. Jadhav Prof. G. R. Sarode",{"tldr":82,"method":83,"finding":84,"direction":85,"opportunity":86},"提出置信度感知的多天线RFID防碰撞方法CA-MA-DFSA，用于精准畜牧监测。","结合槽结果反馈、天线响应置信度与有界帧长更新，基于DFSA仿真对比。","方法尚处仿真设计阶段，未报告实验结果，性能需通过实现验证。","智慧农业 \u002F 农业物联网","可开展真实畜牧场景下的RFID多天线防碰撞实验，验证置信度机制对读取延迟的改善。","openalex","2026-10-14T23:30:16.832710Z"]