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Volume 12
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10.3390/info12090361
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Article

Cow Rump Identification Based on Lightweight Convolutional Neural Networks

by
Handan Hou
1,
Wei Shi
2,
Jinyan Guo
2,
Zhe Zhang
2,
Weizheng Shen
2,* and
Shengli Kou
3
1
School of Computer Science, Harbin Finance University, Harbin 150030, China
2
College of Electrical and Information, Northeast Agricultural University, Harbin 150030, China
3
Department of Science and Technology, Northeast Agricultural University, Harbin 150030, China
*
Author to whom correspondence should be addressed.
Information 2021, 12(9), 361; https://doi.org/10.3390/info12090361
Submission received: 23 June 2021 / Revised: 21 August 2021 / Accepted: 23 August 2021 / Published: 2 September 2021
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Abstract

Individual identification of dairy cows based on computer vision technology shows strong performance and practicality. Accurate identification of each dairy cow is the prerequisite of artificial intelligence technology applied in smart animal husbandry. While the rump of each dairy cow also has lots of important features, so do the back and head, which are also important for individual recognition. In this paper, we propose a non-contact cow rump identification method based on convolutional neural networks. First, the rump image sequences of the cows while feeding were collected. Then, an object detection model was applied to detect the cow rump object in each frame of image. Finally, a fine-tuned convolutional neural network model was trained to identify cow rumps. An image dataset containing 195 different cows was created to validate the proposed method. The method achieved an identification accuracy of 99.76%, which showed a better performance compared to other related methods and a good potential in the actual production environment of cow husbandry, and the model is light enough to be deployed in an edge-computing device.
Keywords: cow rump identification; smart animal husbandry; computer vision; convolutional neural networks; object detection cow rump identification; smart animal husbandry; computer vision; convolutional neural networks; object detection

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MDPI and ACS Style

Hou, H.; Shi, W.; Guo, J.; Zhang, Z.; Shen, W.; Kou, S. Cow Rump Identification Based on Lightweight Convolutional Neural Networks. Information 2021, 12, 361. https://doi.org/10.3390/info12090361

AMA Style

Hou H, Shi W, Guo J, Zhang Z, Shen W, Kou S. Cow Rump Identification Based on Lightweight Convolutional Neural Networks. Information. 2021; 12(9):361. https://doi.org/10.3390/info12090361

Chicago/Turabian Style

Hou, Handan, Wei Shi, Jinyan Guo, Zhe Zhang, Weizheng Shen, and Shengli Kou. 2021. "Cow Rump Identification Based on Lightweight Convolutional Neural Networks" Information 12, no. 9: 361. https://doi.org/10.3390/info12090361

APA Style

Hou, H., Shi, W., Guo, J., Zhang, Z., Shen, W., & Kou, S. (2021). Cow Rump Identification Based on Lightweight Convolutional Neural Networks. Information, 12(9), 361. https://doi.org/10.3390/info12090361

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