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                                       Details for article 3 of 12 found articles
 
 
  Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions
 
 
Title: Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions
Author: KHOSRAVI, Khabat
NGO, Phuong T.T.
BARZEGAR, Rahim
QUILTY, John
AALAMI, Mohammad T.
BUI, Dieu T.
Appeared in: Pedosphere
Paging: Volume 32 () nr. 5 pages 718-732
Year: 2022
Contents:
Publisher: Soil Science Society of China
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 3 of 12 found articles
 
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