Dr. Mohammad Reza Pahlavan-Rad is an Associate Professor at the Soil and Water Research Department of AREEO, Gorgan, Iran. He holds a Ph.D. in Soil Science from Gorgan University of Agricultural Sciences and Natural Resources, with a specialization in digital soil mapping, soil salinity, and machine learning applications in soil science.
Dr. Pahlavan-Rad’s work specializes in digital soil mapping, soil salinity modeling, soil texture and organic carbon prediction, and application of machine learning (e.g., Random Forest, MLR) in soil science. His regional expertise includes arid and floodplain landscapes in Iran and collaborative research in Europe, particularly the Czech Republic.
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Updating Soil Survey Maps Using Random Forest and Conditioned Latin Hypercube Sampling in the Loess Derived Soils of Northern Iran
Geoderma, 232, 97–106. (2014)
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Development and Analysis of the Soil Water Infiltration Global Database
Earth System Science Data, 10(3), 1237–1263. (2018)
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Response of Wheat Plants to Zinc, Iron, and Manganese Applications and Uptake and Concentration of Zinc, Iron, and Manganese in Wheat Grains
Communications in Soil Science and Plant Analysis, 40(7–8), 1322–1332. (2009)
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Spatial Variability of Soil Texture Fractions and pH in a Flood Plain (Case Study from Eastern Iran)
Catena, 160, 275–281. (2018)
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Application of Artificial Neural Networks to Predict the Final Fruit Weight and Random Forest to Select Important Variables in Native Population of Melon (Cucumis melo L.)
Scientia Horticulturae, 181, 108–112. (2015)
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Prediction of Soil Water Infiltration Using Multiple Linear Regression and Random Forest in a Dry Flood Plain, Eastern Iran
Catena, 194, 104715. (2020)
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Legacy Soil Maps as a Covariate in Digital Soil Mapping: A Case Study from Northern Iran
Geoderma, 279, 141–148. (2016)
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Predicting Regional Spatial Distribution of Soil Texture in Floodplains Using Remote Sensing Data: A Case of Southeastern Iran
Catena, 182, 104149. (2019)
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Predicting Soil Organic Carbon Concentrations in a Low Relief Landscape, Eastern Iran
Geoderma Regional, 15, e00195. (2018)
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Digital Soil Mapping of Deltaic Soils: A Case of Study from Hirmand (Helmand) River Delta
Geoderma, 313, 233–240. (2018)
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Effects of Potassium Rates and Irrigation Regimes on Yield of Forage Sorghum in Arid Regions
International Journal of Agronomy and Agricultural Research, 6(4), 207–212. (2015)
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Digital Soil Mapping Using Random Forest Model in Golestan Province
Journal of Water and Soil Conservation, 21(6), 73–93. (2015)
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Prediction of Soil Properties Using Random Forest with Sparse Data in a Semi-Active Volcanic Mountain
Eurasian Soil Science, 53(9), 1222–1233. (2020)
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Effects of Application of Zn, Fe and Mn on Yield, Yield Component, Nutrient Concentration and Uptake in Wheat Grain
Pajouhesh & Sazandegi, 79, 142–150. (2008)
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Nutrient Uptake, Soil and Plant Nutrient Contents, and Yield Components of Wheat Plants Under Different Planting Systems and Various Irrigation Frequencies
Journal of Plant Nutrition, 34(8), 1133–1143. (2011)
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Application of Generalized Additive Model and Classification and Regression Tree to Estimate Potential Habitat Distribution of Range Plant Species (Case Study: Khazri …)
Iranian Journal of Range and Desert Research, 27(3), 561–576. (2020)
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Application of Random Forest Method for Predicting Soil Classes in Low Relief Lands (Case Study: Hirmand County)
Journal of Water and Soil Conservation, 24(1), 67–84. (2017)
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Spatial Prediction of WRB Soil Classes in an Arid Floodplain Using Multinomial Logistic Regression and Random Forest Models, South-East of Iran
Arabian Journal of Geosciences, 13, 1–11. (2020)
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Digital Soil Mapping of Soil Classes in Floodplain and Low Relief Lands (Case Study: Hirmand County)
Journal of Water and Soil Resources Conservation, 9(4), 107–120. (2020)
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Digital Soil Mapping Using Machine Learning-Based Methods to Predict Soil Organic Carbon in Two Different Districts in the Czech Republic
Soil & Water Research, 19(1). (2024)
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Predicting Spatial Variability of Soil Salinity and Clay Content Using Geostatistics and Artificial Neural Networks Methods (Short Technical Report)
Journal of Soil Management and Sustainable Production, 6(1), 247–254. (2016)
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Responses of Wheat Plants in Terms of Soil Water Content, Bulk Density, Salinity, and Root Growth Under Different Planting Systems and Various Irrigation Frequencies
Journal of Plant Nutrition, 33(6), 874–888. (2010)
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Digital Modeling of Surface and Subsurface Soil Salinity in Golestan Province, Iran
Geoderma Regional, 37, e00800. (2024)
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Modeling Wheat Yield Using Some Soil Properties at the Field Scale (Case Study: Sistan Dam Research Farm, University of Zabol)
Agricultural Engineering, 44(1), 81–95. (2021)
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Preparation of Three-Dimensional Maps of Soil Particle Size Fractions by Combining Quantile Regression Forest Algorithm and Spline Depth Function in Golestan Province
Iranian Journal of Soil and Water Research, 55(1), 51–68. (2024)