YOLO系列模型在麦穗检测中的演进规律、应用效能与未来展望

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关键词：YOLO系列模型;麦穗;目标检测;特征提取;检测精度;演进规律；应用效能;未来展望中图分类号：S512.1；TP183;TP391.4 文献标识码：A

文章编号：0439-8114（2025）12-0218-10

DOI：10.14088/j.cnki.issn0439-8114.2025.12.037 开放科学（资源服务）标识码（OSID）：

Evolution，application efficiency，and future prospects of YOLO series models in wheat eardetection

WANGQing1，WANG Zhi-qiang²，LIU Hong³，LIANGMin³，ZHANGYu-chen³，LINYu³ （1.Sichuan WateronservancyVocaioalCege，engdu1hna；.ChengduAgriculturalCollge，Chengdu6na; 3.Triticeae Research Institute，Sichuan Agricultural University，Chengdu 611130，China）

Abstarct：ByreviewingYOLOseriesmodelsandtheirapplicationesearchinwheatearmonitoringathomeandabrod，itwasfound thatthesemodels，withtheirexcellentreal-timeperformanceandhighprecisionadvantages，hadbecomearesearchhotspotinthe fieldofagriculturalinteligentperception.Throughcontinuousmodeloptimizationandimprovement，theaccuracyandficiency ofwheatardtectionwereconiuouslyimproved，providingsrongsupportfortheiteligentpredictioofeatieldadthdevelopmentfagriculturalmodernization.Although YOLOseries models had madesignificantprogress inwheatearmonitoring，therewas stillroomforimprovementinlightweightdeployment，multi-modaldatafusion，androssscenegeneralizationability.Futureesearchshouldfocusontheabovedirectionstofurtherenhancethepracticalityandrobustnessofthemodels，providingmoreeicient and reliable technical support for smart agriculture.

KeyWords：YOLOseries models；wheatear；bjectdetection；feature extraction；detectionaccuracy;evolutionrules；aplicationefficiency;future prospects

小麦是一种适应性强、分布广泛的世界性粮食作物，其营养价值较高，为人类提供能量和蛋白质。（剩余20764字）