Ayaz, H.;                     Ahmad, M.;                     Sohaib, A.;                     Yasir, M.N.;                     Zaidan, M.A.;                     Ali, M.;                     Khan, M.H.;                     Saleem, Z.    
        Myoglobin-Based Classification of Minced Meat Using Hyperspectral Imaging. Appl. Sci. 2020, 10, 6862.
    https://doi.org/10.3390/app10196862
    AMA Style
    
                                Ayaz H,                                 Ahmad M,                                 Sohaib A,                                 Yasir MN,                                 Zaidan MA,                                 Ali M,                                 Khan MH,                                 Saleem Z.        
                Myoglobin-Based Classification of Minced Meat Using Hyperspectral Imaging. Applied Sciences. 2020; 10(19):6862.
        https://doi.org/10.3390/app10196862
    
    Chicago/Turabian Style
    
                                Ayaz, Hamail,                                 Muhammad Ahmad,                                 Ahmed Sohaib,                                 Muhammad Naveed Yasir,                                 Martha A. Zaidan,                                 Mohsin Ali,                                 Muhammad Hussain Khan,                                 and Zainab Saleem.        
                2020. "Myoglobin-Based Classification of Minced Meat Using Hyperspectral Imaging" Applied Sciences 10, no. 19: 6862.
        https://doi.org/10.3390/app10196862
    
    APA Style
    
                                Ayaz, H.,                                 Ahmad, M.,                                 Sohaib, A.,                                 Yasir, M. N.,                                 Zaidan, M. A.,                                 Ali, M.,                                 Khan, M. H.,                                 & Saleem, Z.        
        
        (2020). Myoglobin-Based Classification of Minced Meat Using Hyperspectral Imaging. Applied Sciences, 10(19), 6862.
        https://doi.org/10.3390/app10196862