Artificial Neural Networks for Predicting the Water Retention Curve of Sicilian Agricultural Soils

Artificial Neural Networks for Predicting the Water Retention Curve of Sicilian Agricultural Soils

Modeling soil-water regime and solute transport in the vadose zone is strategic for estimating agricultural productivity and optimizing irrigation water management. Direct measurements of soil hydraulic properties, i.e., the water retention curve and the hydraulic conductivity function, are often ex...

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Bibliographic Details
Main Authors: Alessandro D’Emilio, Rosa Aiello, Simona Consoli, Daniela Vanella, Massimo Iovino
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Water
Subjects:
soil water retention curve
van Genuchten function
neural network
Akaike criterion
Online Access:http://www.mdpi.com/2073-4441/10/10/1431

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http://www.mdpi.com/2073-4441/10/10/1431

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