Mateo, L.F.; Más-López, M.I.; García-del-Toro, E.M.; García-Salgado, S.; Quijano, M.Á.
Artificial Neural Networks to Predict Electrical Conductivity of Groundwater for Irrigation Management: Case of Campo de Cartagena (Murcia, Spain). Agronomy 2024, 14, 524.
https://doi.org/10.3390/agronomy14030524
AMA Style
Mateo LF, Más-López MI, García-del-Toro EM, García-Salgado S, Quijano MÁ.
Artificial Neural Networks to Predict Electrical Conductivity of Groundwater for Irrigation Management: Case of Campo de Cartagena (Murcia, Spain). Agronomy. 2024; 14(3):524.
https://doi.org/10.3390/agronomy14030524
Chicago/Turabian Style
Mateo, Luis F., M. Isabel Más-López, Eva M. García-del-Toro, Sara García-Salgado, and M. Ángeles Quijano.
2024. "Artificial Neural Networks to Predict Electrical Conductivity of Groundwater for Irrigation Management: Case of Campo de Cartagena (Murcia, Spain)" Agronomy 14, no. 3: 524.
https://doi.org/10.3390/agronomy14030524
APA Style
Mateo, L. F., Más-López, M. I., García-del-Toro, E. M., García-Salgado, S., & Quijano, M. Á.
(2024). Artificial Neural Networks to Predict Electrical Conductivity of Groundwater for Irrigation Management: Case of Campo de Cartagena (Murcia, Spain). Agronomy, 14(3), 524.
https://doi.org/10.3390/agronomy14030524