Publication | Soilx

S. H. Jahromi, V. Filardi, S. R. Zekavat, Z. Wang, J. Thurber, D. Hoffman, C. Larson, and D. Petkie, “Toward Intelligent Adaptive Airborne GPR, Implementation and Data Acquisition,” Submitted to 2024 IEEE WISEE Conf., 2024.

H. Namdari, M. Moradikia, R. Askari,O. Mangoubi,D. Petkie, S.R. Zekavat,”Advancing Precision Agriculture: Machine Learning-Enhanced GPR Analysis for Root-Zone Soil Moisture Assessment in Mega Farms.”, Submitted to TechRxiv, 2024.

N. K. Largani, S. R. Zekavat, V. Filardi, “Soil Subsurface Channel Statistical Characterization for Drone-Borne Intelligent GPR Advancement”, Submitted to 2024 IEEE WiSEE Conf., 2024.

N. K. Largani, S. R. Zekavat, H. Namdari, “FDTD Medium Dimension Selection Guidelines for GPR Synthetic Data Generation”, Submitted to IEEE Geoscience and Remote Sensing Letters.

S. R. Zekavat, M. Moradikia, H. Namdari, V. Filardi, B. Heusdens, N. K. Largani, O. Mangoubi, S. H. Jahromi, R. Askari, Z. Wang, B. Willson, “An Introduction to Intelligent GPR-Based Soil Moisture Characterization,” to be submitted to IEEE Geoscience and Remote Sensing Magazine.

V. Filardi, A. Cheung, R. Khan, M. Moradikia, S. (Reza) Zekavat, B. Wilson, O. Mangoubi, R. Askari, D. T. Petkie, “Data-Driven Soil Water Content Estimation at Multiple Depths Using SFCW GPR,” Accepted by 2023 IEEE ORSS Conf., 2023. Won Paper Award

H. Namdari, M. Moradikia, S. (Reza) Zekavat, R. Askari, D. T. Petkie, “Comprehensive GPR Signal Analysis via Descriptive Statistics and Machine Learning,”Accepted by 2023 IEEE WiSEE Conf., 2023.

H. Namdari, R. Khan, A. Cheung, M. Moradikia, S. Zekavat, B. Wilson, R. Askari, D. T. Petkie, “Field Measurement Setup for Intelligent Soil Moisture Assessment: An Experimental Study,” Accepted by 2023 IEEE ORSS Conf., 2023.