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Facial Region Analysis for Individual Identification of Cows and Feeding Time Estimation

Author

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  • Yusei Kawagoe

    (Graduate School of Engineering, University of Miyazaki, Miyazaki 889-2192, Japan)

  • Ikuo Kobayashi

    (Field Science Center, Faculty of Agriculture, University of Miyazaki, Miyazaki 889-2192, Japan)

  • Thi Thi Zin

    (Graduate School of Engineering, University of Miyazaki, Miyazaki 889-2192, Japan)

Abstract

With the increasing number of cows per farmer in Japan, an automatic cow monitoring system is being introduced. One important aspect of such a system is the ability to identify individual cows and estimate their feeding time. In this study, we propose a method for achieving this goal through facial region analysis. We used a YOLO detector to extract the cow head region from video images captured during feeding with the head region cropped as a face region image. The face region image was used for cow identification and transfer learning was employed for identification. In the context of cow identification, transfer learning can be used to train a pre-existing deep neural network to recognize individual cows based on their unique physical characteristics, such as their head shape, markings, or ear tags. To estimate the time of feeding, we divided the feeding area into vertical strips for each cow and established a horizontal line just above the feeding materials to determine whether a cow was feeding or not by using Hough transform techniques. We tested our method using real-life data from a large farm, and the experimental results showed promise in achieving our objectives. This approach has the potential to diagnose diseases and movement disorders in cows and could provide valuable insights for farmers.

Suggested Citation

  • Yusei Kawagoe & Ikuo Kobayashi & Thi Thi Zin, 2023. "Facial Region Analysis for Individual Identification of Cows and Feeding Time Estimation," Agriculture, MDPI, vol. 13(5), pages 1-15, May.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:5:p:1016-:d:1140422
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    References listed on IDEAS

    as
    1. Luyu Ding & Yang Lv & Ruixiang Jiang & Wenjie Zhao & Qifeng Li & Baozhu Yang & Ligen Yu & Weihong Ma & Ronghua Gao & Qinyang Yu, 2022. "Predicting the Feed Intake of Cattle Based on Jaw Movement Using a Triaxial Accelerometer," Agriculture, MDPI, vol. 12(7), pages 1-18, June.
    2. Ruihong Zhang & Jiangtao Ji & Kaixuan Zhao & Jinjin Wang & Meng Zhang & Meijia Wang, 2023. "A Cascaded Individual Cow Identification Method Based on DeepOtsu and EfficientNet," Agriculture, MDPI, vol. 13(2), pages 1-19, January.
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