Machine learning predictive modeling for condemnation risk assessment in antibiotic-free raised broilers

ABSTRACT: The condemnation of broiler carcasses in the poultry industry is a major challenge and leads to significant financial losses and food waste. This study addresses the critical issue of condemnation risk assessment in the discarding of antibiotic-free raised broilers using machine learning (...

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Detaylı Bibliyografya
Asıl Yazarlar:	Pranee Pirompud, Panneepa Sivapirunthep, Veerasak Punyapornwithaya, Chanporn Chaosap
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Elsevier 2024-12-01
Seri Bilgileri:	Poultry Science
Konular:	condemnation rate weight per crate mortality and culling rate lairage time sampling technique
Online Erişim:	http://www.sciencedirect.com/science/article/pii/S0032579124008496
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Machine learning predictive modeling for condemnation risk assessment in antibiotic-free raised broilers

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