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Towards Early Poultry Health Prediction through Non-Invasive and Computer Vision-Based Dropping Classification
SIMPLE SUMMARY: The integration of artificial intelligence and advanced computer vision techniques holds significant promise for non-invasive health assessments within the poultry industry. Monitoring poultry health through droppings can provide valuable insights as alterations in texture and color...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571708/ https://www.ncbi.nlm.nih.gov/pubmed/37835647 http://dx.doi.org/10.3390/ani13193041 |