现代信息科技2026，Vol.10Issue(6)：81-86,6.DOI:10.19850/j.cnki.2096-4706.2026.06.015
基于深度学习的牛脸识别方法综述
Review of Cattle Face Recognition Methods Based on Deep Learning
摘要
Abstract
With the large-scale and intelligent development of animal husbandry in China,traditional cattle identification methods exhibit problems including easy detachment and stress induction and can hardly meet the requirements of precision livestock farming.Cattle face recognition technology based on Deep Learning provides a new approach for individual identification with its non-contact and high-precision characteristics.This paper systematically reviews the research progress of this technology.It illustrates the principles and advantages of Deep Learning in fine-grained recognition.It sorts out key technologies such as network structure optimization,few-shot learning and lightweight deployment.It summarizes the complete process from data collection to model evaluation.In view of current challenges including dependence on two-dimensional appearance features,large demand for annotated data and model complexity,this paper prospects future directions such as multi-modal fusion,self-supervised and few-shot learning and lightweight models to promote the in-depth application of this technology in smart animal husbandry.关键词
牛脸识别/深度学习/精准养殖/个体识别/计算机视觉/卷积神经网络Key words
cattle face recognition/Deep Learning/precision livestock farming/individual identification/computer vision/Convolutional Neural Network分类
信息技术与安全科学引用本文复制引用
李天荷,杜韦剑,董泳彤,甘海洋,王馨紫..基于深度学习的牛脸识别方法综述[J].现代信息科技,2026,10(6):81-86,6.基金项目
2023年武汉学院大学生科研创新团队(XST202310) （XST202310）
