| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2025-02-14 |
| タイトル |
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|
タイトル |
Prediction of 24-h and 6-h Periods before Calving Using a Multimodal Tail-Attached Device Equipped with a Thermistor and 3-Axis Accelerometer through Supervised Machine Learning |
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言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| 著者 |
Higaki, Shogo
Matsui, Yoshitaka
Sasaki, Yosuke
Takahashi, Keiko
Honkawa, Kazuyuki
Horii, Yoichiro
Minamino, Tomoya
Suda, Tomoko
Yoshioka, Koji
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| Abstract |
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内容記述タイプ |
Abstract |
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内容記述 |
In this study, we developed calving prediction models for 24-h and 6-h periods before calving using data on physiological (tail skin temperature) and behavioral (activity intensity, lying time, posture change, and tail raising) parameters obtained using a multimodal tail-attached device (tail sensor). The efficiencies of the models were validated under tethering (tie-stall) and untethering (free-stall and individual pen) conditions. Data were collected from 33 and 30 pregnant cattle under tethering and untethering conditions, respectively, from approximately 15 days before the expected calving date. Based on pre-calving changes, 40 features (8 physiological and 32 behavioral) were extracted from the sensor data, and one non-sensor-based feature (days to the expected calving date) was added to develop models using a support vector machine. Cross-validation showed that calving within the next 24 h under tethering and untethering conditions was predicted with a sensitivity of 97% and 93% and precision of 80% and 76%, respectively, while calving within the next 6 h was predicted with a sensitivity of 91% and 90% and precision of 88% and 90%, respectively. Calving prediction models based on the tail sensor data with supervised machine learning have the potential to achieve effective calving prediction, irrespective of the cattle housing conditions. |
|
言語 |
en |
| 書誌情報 |
Animals : an open access journal from MDPI
巻 12,
号 16,
発行日 2022-08-16
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| 出版者 |
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出版者 |
MDPI |
| DOI |
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識別子タイプ |
DOI |
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関連識別子 |
10.3390/ani12162095 |
| 著者版フラグ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 査読 |
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|
内容記述タイプ |
Other |
|
内容記述 |
査読あり |
animals-12-02095-v2.pdf (1.6 MB)
