Farzam Moghbel

About Farzam Moghbel

Farzam Moghbel, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at Ferdowsi University of Mashhad, specializes in the field of Irrigation, Uncertainty Analysis, Agricultural Drainage Systems, Water Quality, Deficit Irrigation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Evaluation of Novel Deficit Irrigation Techniques in Western Kansas

Bayesian Calibration and Uncertainty Assessment of HYDRUS-1D Model Using GLUE Algorithm for Simulating Corn Root Zone Salinity under Linear Move Sprinkle Irrigation System

Uncertainty analysis of HYDRUS-1D model to simulate soil salinity dynamics under saline irrigation water conditions using Markov Chain Monte Carlo algorithm

Performance analysis of AquaCrop model for simulating forage sorghum yield in western Kansas under different irrigation conditions

Actual Crop Evapotranspiration and Grass-Reference Crop Coefficients of Cotton under Different Irrigated and Rainfed Conditions

Exploring deficit irrigation strategies’ effects on cotton yield and yield components under linear move irrigation system in western Kansas

Farzam Moghbel Information

University

Position

___

Citations(all)

11

Citations(since 2020)

11

Cited By

5

hIndex(all)

2

hIndex(since 2020)

2

i10Index(all)

0

i10Index(since 2020)

0

Email

University Profile Page

Google Scholar

Farzam Moghbel Skills & Research Interests

Irrigation

Uncertainty Analysis

Agricultural Drainage Systems

Water Quality

Deficit Irrigation

Top articles of Farzam Moghbel

Evaluation of Novel Deficit Irrigation Techniques in Western Kansas

Kansas Agricultural Experiment Station Research Reports

2023

Jonathan Aguilar
Jonathan Aguilar

H-Index: 10

Farzam Moghbel
Farzam Moghbel

H-Index: 1

Bayesian Calibration and Uncertainty Assessment of HYDRUS-1D Model Using GLUE Algorithm for Simulating Corn Root Zone Salinity under Linear Move Sprinkle Irrigation System

Water

2022/12/8

Uncertainty analysis of HYDRUS-1D model to simulate soil salinity dynamics under saline irrigation water conditions using Markov Chain Monte Carlo algorithm

Agronomy

2022/11/9

Performance analysis of AquaCrop model for simulating forage sorghum yield in western Kansas under different irrigation conditions

2022

Actual Crop Evapotranspiration and Grass-Reference Crop Coefficients of Cotton under Different Irrigated and Rainfed Conditions

2022

Exploring deficit irrigation strategies’ effects on cotton yield and yield components under linear move irrigation system in western Kansas

2022

See List of Professors in Farzam Moghbel University(Ferdowsi University of Mashhad)

Co-Authors

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