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...

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Detalles Bibliográficos
Autores principales: Nakrosis, Arnas, Paulauskaite-Taraseviciene, Agne, Raudonis, Vidas, Narusis, Ignas, Gruzauskas, Valentas, Gruzauskas, Romas, Lagzdinyte-Budnike, Ingrida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571708/
https://www.ncbi.nlm.nih.gov/pubmed/37835647
http://dx.doi.org/10.3390/ani13193041

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