A Hybrid Chromaticity-Morphological Machine Learning Model to Overcome the Limit of Detecting Newcastle Disease in Chicken within 36 Hours

Author:

Abu Bakar Mohd Anif Akhmal,Ker Pin Jern,Tang Shirley Gee Hoon,Arman Shah Fatin Nursyaza,Mahlia T.M.I.,Baharuddin Mohd Zafri,Omar Abdul Rahman

Publisher

Elsevier BV

Reference53 articles.

1. Review on diseases and health management of poultry and swine;T Abdisa Serbessa;International Journal of Avian & Wildlife Biology,2023

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3. Global antimicrobial-resistance drivers: an ecological country-level study at the human-animal interface;K Allel;The Lancet Planetary Health,2023

4. Poultry disease occurrences and their impacts in Ethiopia;Y T Asfaw;Tropical Animal Health and Production,2021

5. Translating conventional wisdom on chicken comb color into automated monitoring of disease-infected chicken using chromaticity-based machine learning models;M A A A Bakar;Frontiers in Veterinary Science,2023

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