Machine Learning-Based Prediction of Drainage in Layered Soils Using a Soil Drainability Index

Machine Learning-Based Prediction of Drainage in Layered Soils Using a Soil Drainability Index

Numerical modelling of water flow allows for the prediction of rainwater partitioning into evaporation, deep drainage, and transpiration for different seasonal crop and soil type scenarios. We proposed and tested a single indicator for drainage estimation, the soil drainability index (SDI) based on...

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Bibliographic Details
Main Authors: Ali Mehmandoost Kotlar, Bo V. Iversen, Quirijn de Jong van Lier
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Soil Systems
Subjects:
evapotranspiration
hydraulic conductivity
HYDRUS-1D
supervised learning models
subsurface drainage
Online Access:https://www.mdpi.com/2571-8789/3/2/30

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