基于深度学习的牛脸识别方法综述

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中图分类号：TP391.4 文献标识码：A 文章编号：2096-4706（2026）06-0081-06

Review of Cattle Face Recognition Methods Based on Deep Learning

LITianhe，DUWeijian，DONGYongtong，GANHaiyang，WANGXinzi （Wuhan College，Wuhan 430212， China）

Abstract： With the large-scaleand intellgentdevelopment ofanimalhusbandryinChina，traditionalcatle identification methods exhibit problems including easy detachmentand stress induction and can hardly meet therequirements of precision livestock farming. Catle face recognition technology based on Deep Learning provides a new approach for individual identificationwithitsnon-contactandhigh-precisioncharacteristics.Thispapersystematicallreviews theresearchprogres ofthistechnology.ItillustratestheprinciplesandadvantagesofDeepLearninginfine-grainedrecognition.Itsortsoutkey technologiessuchasnetwork structureoptimization，few-shotleamingandlightweightdeployment.Itsummarizes thecomplete process from data collection tomodel evaluation.In viewof current challenges includingdependenceon two-dimensional appearance features，large demand for annotateddata and modelcomplexity，this paper prospects future directions such as multi-modal fusion，self-supervisedandfew-shotleaingandlightweight models topromotethein-depthapplicationof this technology in smart animal husbandry.

Keywords：catleface recognition; DeepLeaing; precision livestock farming; indiviual identification;computer vision; Convolutional Neural Network

0 引言

我国是畜牧业大国，牛的养殖在农业经济中占据重要地位。（剩余8598字）