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The International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

ICNC-FSKD 2022: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery pp 122–129Cite as

Sheep Herd Recognition and Classification Based on Deep Learning

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 153))

Abstract

Automatic identification of sheep herd is always an unsolved technical problem. This is because there are many kinds of sheep, and there are great differences in individual morphology and characteristics. Moreover, human’s mastery of the individual characteristics of different breeds of sheep is only in the stage of experience. So far, people have not completely established the classification database of individual characteristics of sheep.This paper is a summary of the exploratory research on this technical problem. It provides a sheep recognition and classification algorithm based on deep learning. The algorithm adopts dual channel convolution neural network, and carries out reverse transmission according to the image characteristics in time to realize the adaptive adjustment of weight. Once the optimal or suboptimal weight is obtained, the iteration is ended, and the identified objects are located, counted and classified. The experimental results show that the algorithm can greatly reduce the calculation time and make the recognition and classification more accurate.

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References

  1. La, M., An, J.: Research on animal image recognition based on convolutional neural network. Comput. Eng. Softw. 41(8), 43–45 (2020)

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Author information

Authors and Affiliations

  1. School of Internet of Things Engineering, Jiangnan University, Wuxi, 214122, China

    Yeerjiang Halimu, Zhou Chao & Jun Sun

  2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

    Xiubin Zhang

  3. School of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi, 830052, China

    Yeerjiang Halimu

Authors
  1. Yeerjiang Halimu
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  2. Zhou Chao
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  3. Jun Sun
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  4. Xiubin Zhang
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Corresponding author

Correspondence to Jun Sun .

Editor information

Editors and Affiliations

  1. Division of Intelligent Future Technologies, Mälardalen University, Västerås, Västmanlands Län, Sweden

    Ning Xiong

  2. Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, Middlesex, UK

    Maozhen Li

  3. School of Information Science and Technology, Hunan University, Changsha, Hunan, China

    Kenli Li

  4. School of Information Science and Technology, Hunan University, Changsha, Hunan, China

    Zheng Xiao

  5. College of Computer and Data Science, Fuzhou University, Fuzhou, Fujian, China

    Longlong Liao

  6. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Halimu, Y., Chao, Z., Sun, J., Zhang, X. (2023). Sheep Herd Recognition and Classification Based on Deep Learning. In: Xiong, N., Li, M., Li, K., Xiao, Z., Liao, L., Wang, L. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 153. Springer, Cham. https://doi.org/10.1007/978-3-031-20738-9_15

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