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)

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)

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 006; Alireza Amirian-Chakan; Tobias Rentschler; Mojtaba Zeraatpisheh; Fereydoon Sarmadian; Roozbeh Valavi; Naser Davatgar; Thorsten Behrens; Thomas Scholten (Remote. Sens., 2020)

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 009 (Earth Sci. Informatics, 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)

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)

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)

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)

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)

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., 2023)

Spatial mapping and predictive modeling of soil organic carbon stocks in Vermont agricultural lands using machine learning and environmental variables. - Mojtaba Zeraatpisheh; Alissa White; Heather Darby; Deborah A. Neher; Joshua Faulkner; Lilly Hancock; Bailey Kretzler; Nour El-Naboulsi; Hannah C. Turner; Eric Jb von Wettberg; Courtney Hammond Wagner; Gillian L. Galford (Comput. Electron. Agric., 2025)