Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks

Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks

Dead on arrival (DOA) refers to animals, particularly poultry, that die during the pre-slaughter phase. Elevated rates of DOA frequently signify substandard welfare conditions and might stem from multiple causes, resulting in diminished productivity and economic losses. This study included 18,643 tr...

Full description

Saved in:
Bibliographic Details
Main Authors: Chalita Jainonthee, Phutsadee Sanwisate, Panneepa Sivapirunthep, Chanporn Chaosap, Raktham Mektrirat, Sudarat Chadsuthi, Veerasak Punyapornwithaya
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Poultry Science
Subjects:
Dead on arrival
Machine learning
Meat-type duck
Pre-slaughter mortality
Welfare
Online Access:http://www.sciencedirect.com/science/article/pii/S0032579124012264
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items