Automatic Recognition and Quantification Feeding Behaviors of Nursery Pigs Using Improved YOLOV5 and Feeding Functional Area Proposals Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3390/ani14040569
A novel method is proposed based on the improved YOLOV5 and feeding functional area proposals to identify the feeding behaviors of nursery piglets in a complex light and different posture environment. The method consists of three steps: first, the corner coordinates of the feeding functional area were set up by using the shape characteristics of the trough proposals and the ratio of the corner point to the image width and height to separate the irregular feeding area; second, a transformer module model was introduced based on YOLOV5 for highly accurate head detection; and third, the feeding behavior was recognized and counted by calculating the proportion of the head in the located feeding area. The pig head dataset was constructed, including 5040 training sets with 54,670 piglet head boxes, and 1200 test sets, and 25,330 piglet head boxes. The improved model achieves a 5.8% increase in the mAP and a 4.7% increase in the F1 score compared with the YOLOV5s model. The model is also applied to analyze the feeding pattern of group-housed nursery pigs in 24 h continuous monitoring and finds that nursing pigs have different feeding rhythms for the day and night, with peak feeding periods at 7:00–9:00 and 15:00–17:00 and decreased feeding periods at 12:00–14:00 and 0:00–6:00. The model provides a solution for identifying and quantifying pig feeding behaviors and offers a data basis for adjusting the farm feeding scheme.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/ani14040569
- https://www.mdpi.com/2076-2615/14/4/569/pdf?version=1707385994
- OA Status
- gold
- Cited By
- 11
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391643250
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https://openalex.org/W4391643250Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/ani14040569Digital Object Identifier
- Title
-
Automatic Recognition and Quantification Feeding Behaviors of Nursery Pigs Using Improved YOLOV5 and Feeding Functional Area ProposalsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-02-08Full publication date if available
- Authors
-
Yizhi Luo, Jinjin Xia, Huazhong Lu, Haowen Luo, Enli Lv, Zhixiong Zeng, Bin Li, Fanming Meng, Aqing YangList of authors in order
- Landing page
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https://doi.org/10.3390/ani14040569Publisher landing page
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https://www.mdpi.com/2076-2615/14/4/569/pdf?version=1707385994Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2076-2615/14/4/569/pdf?version=1707385994Direct OA link when available
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Mathematics, Computer science, Artificial intelligence, Pattern recognition (psychology)Top concepts (fields/topics) attached by OpenAlex
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11Total citation count in OpenAlex
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2025: 7, 2024: 4Per-year citation counts (last 5 years)
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43Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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