Paper Information

Journal:   JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)   AUGUST-SEPTEMBER 2017 , Volume 31 , Number 3 #M0067; Page(s) 915 To 928.
 
Paper: 

INVESTIGATION OF THE OPTIMAL METHOD OF DATA PROCESSING TO INCREASE ACCURACY OF SIMULATION OF SURFACE SOIL SALINITY (CASE STUDY: MARVAST)

 
 
Author(s):  HABIBIPOOR A.*, TALEBI A., KARIMIAN A.A., DEHGHANI F., MOKHTARI M.H.
 
* YAZD UNIVERSITY, IRAN
 
Abstract: 

Introduction: Salinity is one of the problems of arid and semi-arid soils. Identification and classification of saline/alkaline soils is necessity for dealing with difficult situations and correct management. Considering the nature of salinity data and selection of befitting methods to process data before use artificial neural network, can result in better simulations. The aim of this study was to investigate the optimal method for data processing to enhance the accuracy of surface soil salinity simulation and improve the efficiency of decision tree algorithm. …

 
Keyword(s): NORMALIZATION, PROBABILITY DISTRIBUTION, REGRESSION DECISION TREE, ELECTRICAL CONDUCTIVITY
 
References: 
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