Mojtaba Zeraatpisheh

According to our database, Mojtaba Zeraatpisheh authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Incorporating machine learning models and remote sensing to assess the spatial distribution of saturated hydraulic conductivity in a light-textured soil.

Meisam Rezaei, Seyed Rohollah Mousavi, Asghar Rahmani, Mojtaba Zeraatpisheh, Mehdi Rahmati, Mojtaba Pakparvar, Vahid Alah Jahandideh Mahjenabadi, Piet Seuntjens, Wim Cornelis

Comput. Electron. Agric., June, 2023

2022

Comparison of Different Machine Learning Methods for Predicting Cation Exchange Capacity Using Environmental and Remote Sensing Data.

Sanaz Saidi, Shamsollah Ayoubi, Mehran Shirvani, Kamran Azizi, Mojtaba Zeraatpisheh

Sensors, 2022

A Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties.

Ruhollah Taghizadeh-Mehrjardi, Hossein Khademi, Fatemeh Khayamim, Mojtaba Zeraatpisheh, Brandon Heung, Thomas Scholten

Remote. Sens., 2022

A comparative analysis of data mining techniques for agricultural and hydrological drought prediction in the eastern Mediterranean.

Safwan Mohammed, Ahmed Elbeltagi, Bashar Bashir, Karam Alsafadi, Firas Alsilibe, Abdullah Alsalman, Mojtaba Zeraatpisheh, Adrienn Széles, Endre Harsányi

Comput. Electron. Agric., 2022

2021

Texture Is Important in Improving the Accuracy of Mapping Photovoltaic Power Plants: A Case Study of Ningxia Autonomous Region, China.

Xunhe Zhang, Mojtaba Zeraatpisheh, Md. Mizanur Rahman, Shujian Wang, Ming Xu

Remote. Sens., 2021

Ground Observations and Environmental Covariates Integration for Mapping of Soil Salinity: A Machine Learning-Based Approach.

Salman Naimi, Shamsollah Ayoubi, Mojtaba Zeraatpisheh, José Alexandre Melo Demattê

Remote. Sens., 2021

Dealing with soil organic carbon modeling: some insights from an agro-ecosystem in Northeast Iran.

Ali Keshavarzi, Henry Oppong Tuffour, Jimmy Clifford Oppong, Mojtaba Zeraatpisheh, Vinod Kumar

Earth Sci. Informatics, 2021

2020

Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space.

Ruhollah Taghizadeh-Mehrjardi, Karsten Schmidt, Alireza Amirian-Chakan, Tobias Rentschler, Mojtaba Zeraatpisheh, Fereydoon Sarmadian, Roozbeh Valavi, Naser Davatgar, Thorsten Behrens, Thomas Scholten

Remote. Sens., 2020

Remote Sensing-Based Mapping of Senescent Leaf C: N Ratio in the Sundarbans Reserved Forest Using Machine Learning Techniques.

Md. Mizanur Rahman, Xunhe Zhang, Imran Ahmed, Zaheer Iqbal, Mojtaba Zeraatpisheh, Mamoru Kanzaki, Ming Xu

Remote. Sens., 2020

2019

Determining the best ISUM (Improved stock unearthing Method) sampling point number to model long-term soil transport and micro-topographical changes in vineyards.

Jesús Rodrigo-Comino, Ali Keshavarzi, Mojtaba Zeraatpisheh, Yeboah Gyasi-Agyei, Artemi Cerdà

Comput. Electron. Agric., 2019