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Ali Keshavarzi
Academic Rank : Associate Professor
Campus of Agriculture and Natural Resources / agri / Soil science / Campus of Agriculture and Natural Resources / Faculty of Agricultural Engineering and Technology
Contact Number : 370 (118)
Room : 7
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https://scholar.google.com/citations?user=Tpy۹cJkAAAAJ&hl=en
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1304
Citations
23
h-Index
as of :
2025-03-29
2054
Citations
29
h-Index
as of :
2025-03-10
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مسئولیت های اجرایی و خدمات آموزشی، علمی و فرهنگی
Scholarly Works
2015
2024
1304
Citations
23
h-Index
55
Article
43
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2
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2024
1. Mapping the spatial distribution of nitrogen and phosphorus nutrients across agricultural lands in Shahr-e-Rey, Tehran province
Rahmani Siyalarz Shahla,
Keshavarzi Ali
,
Sarmadian Fereydoon
,
Farahbakhsh Mohsen
(2024)., The 5th National Conference of Iranian Geological Remote Sensing Society, 15-16 May, Karaj, Iran.
2. Towards site-specific management of soil organic carbon: Comparing support vector machine and ordinary kriging approaches based on pedo-geomorphometric factors
De Caires Sunshine A.,
Keshavarzi Ali
, Leonel Bottega Eduardo, Kaya Fuat (2024)., Computers and Electronics in Agriculture, 216(2024), 108545.
3. Spatial variability of some heavy metals in arid harrats soils: Combining machine learning algorithms and synthetic indexes based-multitemporal Landsat 8/9 to establish background levels
Sulieman Magboul M, Kaya Fuat,
Keshavarzi Ali
, Hussein Abdullahi M., Al-Farraj Abdullah S., Charles Brevik Eric (2024)., CATENA, 234(2024), 107579.
2023
1. Application of GIS-based machine learning algorithms for prediction of irrigational groundwater quality indices
Mohammed Musaab A. A., Kaya Fuat, Mohamed Ahmed, Alarifi Saad S., Abdelrady Ahmed,
Keshavarzi Ali
, Szabo Norbert P., Szucs Peter (2023)., Frontiers in Earth Science, 11(2023), 1-19.
2. An overview of the challenges facing the selection of proper remote sensing indices in soil salinity studies
Rahmani Siyalarz Shahla,
Keshavarzi Ali
(2023)., Journal of land management, 11(1), 99-119.
3. Spatial prediction of soil micronutrients using machine learning algorithms integrated with multiple digital covariates
Keshavarzi Ali
, Kaya Fuat, Basayigit Levent, Gyasi-Agyei Yeboah, Rodrigo-comino Jesus, Caballero Calvo Andres (2023)., NUTRIENT CYCLING IN AGROECOSYSTEMS, 127(1), 137-153.
4. Combining Digital Covariates and Machine Learning Models to Predict the Spatial Variation of Soil Cation Exchange Capacity
Kaya Fuat, Mishra Gaurav, Francaviglia Rosa,
Keshavarzi Ali
(2023)., Land, 2023(12).
2022
1. Field‐scale digital soil mapping of mobile zinc: Combining different digital covariates and comparing geostatistical and machine learning models
Gopp Natalya, Kaya Fuat,
Keshavarzi Ali
(2022)., INTERNATIONAL SOIL SCIENCE SYMPOSIUM on “Soil Science and Plant Nutrition”, December 2-3, 2022 as the 7th international scientific meetings of The Federation of Eurasian Soil Science Societies, Samsun, Türkiye, 2-3 December, Turkey.
2. Digital mapping for soil texture class prediction in northwestern Türkiye by different machine learning algorithms
Kaya Fuat, Basayigit Levent,
Keshavarzi Ali
, Francaviglia Rosa (2022)., Geoderma Regional, 31(2022), e00584.
3. Using environmental covariates to predict soil organic carbon stocks in Vertisols of Sudan
Ahmed Ibrahim, Hassan Faroug A., Sulieman Magboul M,
Keshavarzi Ali
, Elmobarak Abdelmagid, Yousif Khozima M., Charles Brevik Eric (2022)., Geoderma Regional, 31(2022), e00578.
4. Predictive Mapping of Electrical Conductivity and Assessment of Soil Salinity in a Western Türkiye Alluvial Plain
Kaya Fuat, Schillaci Calogero,
Keshavarzi Ali
, Basayigit Levent (2022)., Land, 2022(11), 1-21.
5. Soil Health and Environmental Sustainability: Application of Geospatial Technology
Keshavarzi Ali
, Pulido Manuel, Zeraatpisheh Mojtaba, Oppong Tuffour Henry, Sankar Gouri, Kumar Shit Pravat, Rodrigo-comino Jesus (2022).
6. Soil Health and Environmental Sustainability: Application of Geospatial Technology
Keshavarzi Ali
, Sankar Gouri, Kumar Shit Pravat, Ertunc Gunes, Zeraatpisheh Mojtaba (2022).
7. Digital mapping of soil texture classes for efficient land management in the Piedmont plain of Iran
Keshavarzi Ali
, Sanchez del Arbol Miguel Angel, Kaya Fuat, Gyasi-Agyei Yeboah, Rodrigo-comino Jesus (2022)., SOIL USE AND MANAGEMENT, 38(4), 1705-1735.
8. Machine learning for cation exchange capacity prediction in different land uses
Mishra Gaurav, Sulieman Magboul M, Kaya Fuat, Francaviglia Rosa,
Keshavarzi Ali
, Bakhshandeh Esmaeil, Loum Macoumba, Jangir Abhishek, Ahmed Ibrahim, Elmobarak Abdelmagid, Basher AdbElrahim, Rawat Deepa (2022)., CATENA, 216(2022PartA), 106404.
9. Assessing Machine Learning-Based Prediction under Different Agricultural Practices for Digital Mapping of Soil Organic Carbon and Available Phosphorus
Kaya Fuat,
Keshavarzi Ali
, Francaviglia Rosa, Kaplan Gordana, Basayigit Levent, Dedeoglu Mert (2022)., Agriculture-basel, 2022(12), 1-27.
10. Land cover classification in an arid landscape of Iran using Landsat 8 OLI science products: Performance assessment of machine learning algorithms
Keshavarzi Ali
, Kaya Fuat, Kaplan Gordana, Basayigit Levent (2022)., 4th Intercontinental Geoinformation Days (IGD), 20-21 June, Tabriz, Iran.
11. Study of environmental effects of forage maize production using life cycle assessment
محسنی پریسا,
Heidari Ahmad
,
Keshavarzi Ali
, Maleki Ghelichi Elnaz (2022)., Water and Soil Conservation, 28(3).
2021
1. Digital Soil Mapping of AWC in Arable Lands: A Comparison of Different Machine Learning Models
Kaya Fuat, Basayigit Levent, Dedeoglu Mert,
Keshavarzi Ali
(2021)., International Symposium on “Soil Science and Plant Nutrition”, December 18-19, 2021 as the 6th international scientific meetings of The Federation of Eurasian Soil Science Societies, 18-19 December, Turkey.
2. Digital Mapping of Soil Copper Contamination: Comparison of Gaussian Process Regression and Random Forest Models
Keshavarzi Ali
, Ertunc Gunes, Kaya Fuat (2021)., International Symposium on “Soil Science and Plant Nutrition”, December 18-19, 2021 as the 6th international scientific meetings of The Federation of Eurasian Soil Science Societies, 18-19 December, Turkey.
3. Spatial variability of soil mineral fractions and bulk density in Northern Ireland: Assessing the influence of topography using different interpolation methods and fractal analysis
Keshavarzi Ali
, Oppong Tuffour Henry, Charles Brevik Eric, Ertunc Gunes (2021)., CATENA, 207(2021), 105646.
4. Determination of soil management units based on series characteristics map in soil families
ابراهیمی رضا,
Heidari Ahmad
,
Keshavarzi Ali
(2021)., 17th soil congress, 18-20 October, Tehran, Iran.
5. Digital mapping of soil families using a farm-scale random forest model
ابراهیمی رضا,
Heidari Ahmad
,
Keshavarzi Ali
(2021)., 17th soil congress, 18-20 October, Karaj, Iran.
6. Evaluating soil quality status of fluvisols at the regional scale: A multidisciplinary approach crossing multiple variables
Rodrigo-comino Jesus,
Keshavarzi Ali
, Senciales-Gonzalez Jose M. (2021)., RIVER RESEARCH AND APPLICATIONS, 37(8), 1-15.
7. Soft Computing Techniques for Appraisal of Potentially Toxic Elements from Jalandhar (Punjab), India
Kumar Vinod, Sihag Parveen,
Keshavarzi Ali
, Pandita Shevita, Rodriguez-Seijo Andres (2021)., Applied Sciences-Basel, 11(18), 8362.
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