2 papers
eess.IV2024
Machine Learning-Driven Microwave Imaging for Soil Moisture Estimation near Leaky Pipe
Mohammad Ramezaninia, Mohammadreza Shams, Mohammad Zoofaghari
Characterizing soil moisture (SM) around drip irrigation pipes is crucial for precise and optimized farming. Machine learning (ML) approaches are particularly suitable for this tas…
eess.IV2024
A Microwave Imaging System for Soil Moisture Estimation in Subsurface Drip Irrigation
Mohammad Ramezaninia, Mohammad Zoofaghari
The microwave imaging system(MIS) stands out among prominent imaging tools for capturing images of concealed obstacles. Leveraging its capability to penetrate through heterogeneous…