YOLOPoul: Performance evaluation of a novel YOLO object detectors benchmark for multi-class manure identification to warn about poultry digestive diseases
Digestive diseases are common in poultry and significantly affect their health and productivity. Image processing techniques have gained attention for detecting early signs of disease by analyzing abnormal poultry manure. However, building a reliable system for identifying and locating abnormal manu...
Tallennettuna:
| Päätekijät: | , , , , , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | englanti |
| Julkaistu: |
Elsevier
2025-12-01
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| Sarja: | Smart Agricultural Technology |
| Aiheet: | |
| Linkit: | http://www.sciencedirect.com/science/article/pii/S2772375525003776 |
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