A hybrid chromaticity-morphological machine learning model to overcome the limit of detecting newcastle disease in experimentally infected chicken within 36 h

A hybrid chromaticity-morphological machine learning model to overcome the limit of detecting newcastle disease in experimentally infected chicken within 36 h

The nexus between animal and human health is crucial in upholding global health. Humans are at risk of food security due to fatal infections associated with the Newcastle disease virus (NDV), resulting in severe disease outbreaks. This work reports on the early detection of experimentally NDV-infect...

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Bibliographic Details
Main Authors: Bakar, Mohd Anif A.A., Ker, Pin Jern, Tang, Shirley G.H., Arman Shah, Fatin Nursyaza, Mahlia, T. M.Indra, Baharuddin, Mohd Zafri, Omar, Abdul Rahman
Format: Article
Language:English
Published: Elsevier B.V. 2025
Online Access:http://psasir.upm.edu.my/id/eprint/121158/
http://psasir.upm.edu.my/id/eprint/121158/1/121158.pdf

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