Zare, E.;                     Li, N.;                     Khongnawang, T.;                     Farzamian, M.;                     Triantafilis, J.    
        Identifying Potential Leakage Zones in an Irrigation Supply Channel by Mapping Soil Properties Using Electromagnetic Induction, Inversion Modelling and a Support Vector Machine. Soil Syst. 2020, 4, 25.
    https://doi.org/10.3390/soilsystems4020025
    AMA Style
    
                                Zare E,                                 Li N,                                 Khongnawang T,                                 Farzamian M,                                 Triantafilis J.        
                Identifying Potential Leakage Zones in an Irrigation Supply Channel by Mapping Soil Properties Using Electromagnetic Induction, Inversion Modelling and a Support Vector Machine. Soil Systems. 2020; 4(2):25.
        https://doi.org/10.3390/soilsystems4020025
    
    Chicago/Turabian Style
    
                                Zare, Ehsan,                                 Nan Li,                                 Tibet Khongnawang,                                 Mohammad Farzamian,                                 and John Triantafilis.        
                2020. "Identifying Potential Leakage Zones in an Irrigation Supply Channel by Mapping Soil Properties Using Electromagnetic Induction, Inversion Modelling and a Support Vector Machine" Soil Systems 4, no. 2: 25.
        https://doi.org/10.3390/soilsystems4020025
    
    APA Style
    
                                Zare, E.,                                 Li, N.,                                 Khongnawang, T.,                                 Farzamian, M.,                                 & Triantafilis, J.        
        
        (2020). Identifying Potential Leakage Zones in an Irrigation Supply Channel by Mapping Soil Properties Using Electromagnetic Induction, Inversion Modelling and a Support Vector Machine. Soil Systems, 4(2), 25.
        https://doi.org/10.3390/soilsystems4020025