中国农业科技导报2024，Vol.26Issue(12)：98-106,9.DOI:10.13304/j.nykjdb.2023.0327
基于多角度数据融合的养殖场通道中奶牛身份识别算法研究
Research on Dairy Cattle Identification Algorithm in Farm Access Based on Multi-angle Data Fusion
摘要
Abstract
In order to enhance the production management efficiency of smart dairy farms,a multi-angle data fusion algorithm for dairy cattle identification in fixed lanes was proposed.Initially,at the dairy farm,cameras were installed to capture 2 rear views and 3 different lateral perspectives of dairy cattle,and identity data from 60 cows were collected,forming a comprehensive multi-angle dataset for dairy cattle;subsequently,training and comparative analysis were performed on a dataset for dairy cattle identity recognition to evaluate the performance of 7 backbone networks.The results showed that the HRNet backbone network achieved favorable performance on the frontal back,oblique back,front oblique side,rear oblique side and frontal side views of the dairy cattle,and the rank@1 reached 96.55%,98.08%,91.23%,95.83%and 89.36%,and the mean average precision reached 83.28%,89.88%,75.09%,84.48%and 78.27%,respectively.A multi-angle data fusion algorithm for dairy cattle identification was constructed using the best-performing HRNet network,by setting the similarity threshold to 0.9,the algorithm achieved a 100%accuracy rate on the dataset.Above results provided an effective solution for cattle identification in fixed channels of dairy cattle farms.关键词
牛身份识别/智能养殖/数据融合/多角度/固定通道Key words
cattle identification/intelligent farming/data fusion/multiple perspectives/fixed channel分类
信息技术与安全科学引用本文复制引用
张晓卫,陈波,王月明,李子剑,张继红,曹天一..基于多角度数据融合的养殖场通道中奶牛身份识别算法研究[J].中国农业科技导报,2024,26(12):98-106,9.基金项目
内蒙古自治区科技重大专项(2019ZD025) （2019ZD025）
科技兴蒙行动重点专项(XM2021BT12) （XM2021BT12）
内蒙古自治区高等学校科学研究项目(NJZY21400) （NJZY21400）
内蒙古自治区高校基本科研业务项目(2023QNJS193). （2023QNJS193）
