Artificial Neural Networks to Predict Electrical Conductivity of Groundwater for Irrigation Management: Case of Campo de Cartagena (Murcia, Spain)

Artificial Neural Networks to Predict Electrical Conductivity of Groundwater for Irrigation Management: Case of Campo de Cartagena (Murcia, Spain)

Groundwater is a crucial water resource, particularly in regions with intensive agriculture and a semi-arid climate, such as Campo de Cartagena (Murcia, Spain). Groundwater salinity in the area can be attributed to hydrogeological characteristics, irrigation return water, or even marine intrusion an...

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Bibliographic Details
Main Authors: Luis F. Mateo, M. Isabel Más-López, Eva M. García-del-Toro, Sara García-Salgado, M. Ángeles Quijano
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Agronomy
Subjects:
groundwater
salinity
electrical conductivity
sustainable agriculture
artificial neural networks
irrigation management
Online Access:https://www.mdpi.com/2073-4395/14/3/524

Internet

https://www.mdpi.com/2073-4395/14/3/524

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