Efficient sheep variety identification method based on VGG16 deep learning

By constructing a sheep facial recognition neural network model based on VGG16 deep learning, the problems of inaccurate sheep breed recognition and complex deployment in the existing technology are solved, and efficient sheep breed recognition is achieved.

CN119992595APending Publication Date: 2025-05-13HUAZHONG AGRI UNIV
View PDF 3 Cites 0 Cited by

Patent Information

Application Number
CN202510094813.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-21
Publication Date
2025-05-13

AI Technical Summary

Technical Problem

The prior art is difficult to accurately identify complex sheep breeds, and the sheep breed recognition method based on deep learning is complex to deploy, with a low average accuracy rate.

Method used

Using the efficient sheep breed recognition method based on VGG16 deep learning, a sheep facial recognition neural network model based on VGG16 was constructed by collecting and preprocessing the sheep facial images in the breeding farm, and the model was trained using the cross entropy loss function.

Benefits of technology

It significantly improves the accuracy of sheep breed identification, solves the problems of complex deployment and low average accuracy, and achieves more efficient sheep breed identification.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure FT_1
    Figure FT_1
  • Figure FT_2
    Figure FT_2
  • Figure FT_3
    Figure FT_3
Patent Text Reader

Abstract

The invention discloses an efficient sheep variety identification method based on VGG16 deep learning, and the method achieves the rapid and accurate identification of the sheep variety through the deep learning technology. The method comprises the following steps: S1, acquiring face images of different varieties of sheep in a farm; s2, preprocessing the data, labeling the sheep face part by using a labeling box, sorting into a data set, and dividing the data set into a training set, a verification set and a test set according to a ratio of 6: 2: 2; s3, constructing a VGG16-based sheep face recognition neural network model; s4, constructing a loss function of the VGG16-based sheep face recognition neural network model; and S5, testing on the test set, and evaluating the performance of the variety identification model. The method provided by the invention is high in recognition precision, and the average recognition precision on a test set can reach 99.64%. The method provided by the invention provides a new technical means for the development of intelligent animal husbandry with efficient and accurate recognition capability, and has important practical value and wide market application prospect.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Animal face recognition method and device, computer equipment and storage medium

    CN110135231A

  • Sheep individual identity recognition method based on deep learning algorithm

    CN112949406A

  • Deep learning-based bridge appearance information three-stage identification method and identification system

    CN115713647A