WEKO3
アイテム
Automated system for calving time prediction and cattle classification utilizing trajectory data and movement features
http://hdl.handle.net/10458/0002001265
http://hdl.handle.net/10458/00020012659b57d4cc-1800-4b62-95e2-23f2a200ab3f
| 名前 / ファイル | ライセンス | アクション |
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| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||||||||||||||||||||||||
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| 公開日 | 2025-05-09 | |||||||||||||||||||||||||||
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| タイトル | Automated system for calving time prediction and cattle classification utilizing trajectory data and movement features | |||||||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||||||
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| 言語 | eng | |||||||||||||||||||||||||||
| 資源タイプ | ||||||||||||||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||||||||||||
| アクセス権 | ||||||||||||||||||||||||||||
| アクセス権 | open access | |||||||||||||||||||||||||||
| 著者 |
Mg, Wai Hnin Eaindrar
× Mg, Wai Hnin Eaindrar
× ティ ティ ズイン
WEKO
31575
× パイ, テイン
WEKO
35357
× 相川, 勝
WEKO
12201
× Honkawa, Kazuyuki
× 堀井, 洋一郎 |
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| 内容記述タイプ | Abstract | |||||||||||||||||||||||||||
| 内容記述 | Accurately predicting the calving time in cattle is essential for optimizing livestock management and ensuring animal welfare. Our research focuses on developing a robust system for calving cattle classification and calving time prediction, utilizing 12-h trajectory data for 20 cattle. Our system classifies cattle as abnormal (requiring human assistance) or normal (not requiring assistance) and predicts calving times based on their individual behaviors. We employed a tailored YOLOv8 model for efficient and precise cattle detection, effectively filtering out noise such as people and trucks. Our Customized Tracking Algorithm (CTA) maintains continuous identity tracking for each cow, enabling accurate re-identification even during occlusions. To minimize some ID switching errors over extended tracking periods, we integrated IDs optimization in the CTA utilizing Global IDs identification. We extracted and compared three total movement features for classifying cattle as abnormal or normal. For predicting calving times for each cow, we utilized and compared three cumulative movement features. Our system is fully automated, detecting and tracking all 20 cattle continuously for 12 h without manual assistance, and achieving an overall accuracy of 99%. By comparing three features derived from the trajectory tracking data for each point in a frame, we achieve 100%, 95%, 85% accuracy in classifying cattle as abnormal or normal and predict their calving times with a precision of within the next 6 h, within the next 9 h, within the next 8 h, respectively. Our system enables farmers to provide timely assistance, ensuring the health and safety of both the cow and the calf. Furthermore, it aids in optimizing resource allocation and enhancing overall farm efficiency, emphasizing the critical importance of calving time prediction in sustainable livestock farming. | |||||||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||||||
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| 内容記述タイプ | Other | |||||||||||||||||||||||||||
| 内容記述 | Citation: Wai Hnin Eaindrar Mg, Thi Thi Zin, Pyke Tin, Masaru Aikawa, Kazuyuki Honkawa, Yoichiro Horii, Automated system for calving time prediction and cattle classification utilizing trajectory data and movement features, Scientific Reports, 15(1), 2025-01-18, https://doi.org/10.1038/s41598-025-85932-0 | |||||||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||||||
| bibliographic_information |
en : Scientific Reports 巻 15, 号 1, 発行日 2025-01-18 |
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| 出版者 | ||||||||||||||||||||||||||||
| 出版者 | Springer Science and Business Media LLC | |||||||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||||||
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| 収録物識別子タイプ | EISSN | |||||||||||||||||||||||||||
| 収録物識別子 | 2045-2322 | |||||||||||||||||||||||||||
| item_10001_relation_14 | ||||||||||||||||||||||||||||
| 関連タイプ | isVersionOf | |||||||||||||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||||||||||||||
| 関連識別子 | https://doi.org/10.1038/s41598-025-85932-0 | |||||||||||||||||||||||||||
| 権利 | ||||||||||||||||||||||||||||
| 権利情報 | © The Author(s) 2025 | |||||||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||||||
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| 出版タイプ | VoR | |||||||||||||||||||||||||||
