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