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ORCIDMojtaba Zeraatpisheh
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2020 – today
- 2023
[j10]Meisam Rezaei
, Seyed Rohollah Mousavi, Asghar Rahmani, Mojtaba Zeraatpisheh, Mehdi Rahmati, Mojtaba Pakparvar, Vahid Alah Jahandideh Mahjenabadi, Piet Seuntjens, Wim Cornelis:
Incorporating machine learning models and remote sensing to assess the spatial distribution of saturated hydraulic conductivity in a light-textured soil. Comput. Electron. Agric. 209: 107821 (2023)- 2022
- [j9]Safwan Mohammed, Ahmed Elbeltagi, Bashar Bashir, Karam Alsafadi, Firas Alsilibe, Abdullah Alsalman, Mojtaba Zeraatpisheh, Adrienn Széles, Endre Harsányi:
A comparative analysis of data mining techniques for agricultural and hydrological drought prediction in the eastern Mediterranean. Comput. Electron. Agric. 197: 106925 (2022) - [j8]Ruhollah Taghizadeh-Mehrjardi, Hossein Khademi, Fatemeh Khayamim, Mojtaba Zeraatpisheh, Brandon Heung, Thomas Scholten:
A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties. Remote. Sens. 14(3): 472 (2022) - [j7]Sanaz Saidi, Shamsollah Ayoubi, Mehran Shirvani, Kamran Azizi, Mojtaba Zeraatpisheh:
Comparison of Different Machine Learning Methods for Predicting Cation Exchange Capacity Using Environmental and Remote Sensing Data. Sensors 22(18): 6890 (2022) - 2021
- [j6]Ali Keshavarzi, Henry Oppong Tuffour, Jimmy Clifford Oppong, Mojtaba Zeraatpisheh, Vinod Kumar:
Dealing with soil organic carbon modeling: some insights from an agro-ecosystem in Northeast Iran. Earth Sci. Informatics 14(4): 1833-1845 (2021) - [j5]Xunhe Zhang, Mojtaba Zeraatpisheh, Md. Mizanur Rahman, Shujian Wang, Ming Xu:
Texture Is Important in Improving the Accuracy of Mapping Photovoltaic Power Plants: A Case Study of Ningxia Autonomous Region, China. Remote. Sens. 13(19): 3909 (2021) - [j4]Salman Naimi, Shamsollah Ayoubi, Mojtaba Zeraatpisheh, José Alexandre Melo Demattê:
Ground Observations and Environmental Covariates Integration for Mapping of Soil Salinity: A Machine Learning-Based Approach. Remote. Sens. 13(23): 4825 (2021) - 2020
- [j3]Ruhollah Taghizadeh-Mehrjardi, Karsten Schmidt, Alireza Amirian-Chakan, Tobias Rentschler, Mojtaba Zeraatpisheh, Fereydoon Sarmadian, Roozbeh Valavi, Naser Davatgar, Thorsten Behrens, Thomas Scholten:
Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space. Remote. Sens. 12(7): 1095 (2020) - [j2]Md. Mizanur Rahman, Xunhe Zhang, Imran Ahmed, Zaheer Iqbal, Mojtaba Zeraatpisheh, Mamoru Kanzaki, Ming Xu:
Remote Sensing-Based Mapping of Senescent Leaf C: N Ratio in the Sundarbans Reserved Forest Using Machine Learning Techniques. Remote. Sens. 12(9): 1375 (2020)
2010 – 2019
- 2019
- [j1]Jesús Rodrigo-Comino, Ali Keshavarzi, Mojtaba Zeraatpisheh, Yeboah Gyasi-Agyei, Artemi Cerdà:
Determining the best ISUM (Improved stock unearthing Method) sampling point number to model long-term soil transport and micro-topographical changes in vineyards. Comput. Electron. Agric. 159: 147-156 (2019)
Coauthor Index
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