Journal Management System

Number of Journals	52
Number of Issues	2,127
Number of Articles	21,999
Article View	94,218,757
PDF Download	29,084,748


1.	Application of Two Data Mining Techniques for Mapping the Spatial Distribution of Soil Organic Carbon (Case Study: East Shore of Urmia Lake)
	Volume 34, Issue 3, July 2020, Pages 689-705
	A. Mousavi; F. Shahabzi; Sh. Oustan; A.A. Jafarzadeh; B. Minasny
	View Article PDF 1.32 M

2.	Development of Machine Learning Algorithms to Predict Urban Air Quality Index (Study Area: Tehran City)
	Volume 12, Issue 2, February 2023, Pages 165-186
	Peyman Karami; Seyed Ahmad Eslaminezhad; Mobin Eftekhari; Faraz Boroumand; Mohammad Akbari
	View Article PDF 1.03 M

3.	Digital Land Suitability Assessment for Irrigated Cultivation of Some Agricultural Crops Using Machine Learning Approaches (Case Study: Qazvin-Abyek)
	Volume 38, Issue 4, September and October 2024, Pages 479-493
	F. Jannati; F. Sarmadian
	View Article PDF 1.53 M

4.	Digital Mapping of Soil Texture Particles with Machine Learning Models and Environmental Covariates
	Volume 37, Issue 6, January and February 2024, Pages 923-942
	P. Khosravani; M. Baghernejad; A.A. Moosavi; S.R. Fallah Shamsi
	View Article PDF 943.42 K

5.	Efficiency of Different Feature Selection Methods in Digital Mapping of Subgroup and Soil Family Classes with Data Mining Algorithms
	Volume 34, Issue 4, September 2020, Pages 973-987
	S. Nazari; M. Rostaminia; shamsollah Ayoubi; A. Rahmani; S.R. Mousavi
	View Article PDF 976.17 K

6.	Estimation of the most important geomechanical parameter of unsaturated soils using different artificial intelligence methods
	Volume 35, Issue 2, September 2022, Pages 35-48
	Hadi Fattahi; Fatemeh Jiryaee
	View Article PDF 1.31 M

7.	Rainfall-Runoff Modeling of Khormazard and Bonab Hydrometric Stations Using Support Vector Machine and Random Forest Algorithms
	Volume 37, Issue 6, January and February 2024, Pages 971-989
	Z. Bigdeli; A. Majnooni-Heris; R. Delearhasannia; S. Karimi
	View Article PDF 1.17 M

8.	Spectral Feature Selection from the Hyperspectral Dataset to Identify Pistachio Leaves Infected by Psylla
	Volume 12, Issue 2, June 2022, Pages 159-167
	A. Moghimi; A. Sazgarnia; M. H. Aghkhani
	View Article PDF 785.9 K

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Application of Two Data Mining Techniques for Mapping the Spatial Distribution of Soil Organic Carbon (Case Study: East Shore of Urmia Lake)

Development of Machine Learning Algorithms to Predict Urban Air Quality Index (Study Area: Tehran City)

Digital Land Suitability Assessment for Irrigated Cultivation of Some Agricultural Crops Using Machine Learning Approaches (Case Study: Qazvin-Abyek)

Digital Mapping of Soil Texture Particles with Machine Learning Models and Environmental Covariates

Efficiency of Different Feature Selection Methods in Digital Mapping of Subgroup and Soil Family Classes with Data Mining Algorithms

Estimation of the most important geomechanical parameter of unsaturated soils using different artificial intelligence methods

Rainfall-Runoff Modeling of Khormazard and Bonab Hydrometric Stations Using Support Vector Machine and Random Forest Algorithms

Spectral Feature Selection from the Hyperspectral Dataset to Identify Pistachio Leaves Infected by Psylla