APA (7th ed.) Citation

Bakar, M. A. A., Ker, P. J., Tang, S. G., Arman Shah, F. N., Mahlia, T. M., Baharuddin, M. Z., & Omar, A. R. (2025). A hybrid chromaticity-morphological machine learning model to overcome the limit of detecting newcastle disease in experimentally infected chicken within 36 h. Elsevier B.V.

Chicago Style (17th ed.) Citation

Bakar, Mohd Anif A.A., Pin Jern Ker, Shirley G.H Tang, Fatin Nursyaza Arman Shah, T. M.Indra Mahlia, Mohd Zafri Baharuddin, and Abdul Rahman Omar. A Hybrid Chromaticity-morphological Machine Learning Model to Overcome the Limit of Detecting Newcastle Disease in Experimentally Infected Chicken Within 36 H. Elsevier B.V, 2025.

MLA (9th ed.) Citation

Bakar, Mohd Anif A.A., et al. A Hybrid Chromaticity-morphological Machine Learning Model to Overcome the Limit of Detecting Newcastle Disease in Experimentally Infected Chicken Within 36 H. Elsevier B.V, 2025.