Research on Dairy Cattle Identification Algorithm in Farm Access Based on Multi-angle Data Fusion
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.
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