Description of Invention
Effective remote sensing in modern agriculture requires accurate modeling of electromagnetic scattering from vegetative structures to support applications like disease detection and yield prediction. Early models based on simplified Maxwell’s equations lacked precision, especially for complex plant geometries. Recent advances in computational electromagnetics, particularly using Volume Integral Equations (VIEs), have improved modeling capabilities. The Relaxed Hierarchical Equivalent Source Algorithm (RHESA)[1] addressed some VIE limitations, yet challenges remain for thin-shaped scatterers such as leaves and needles, where Surface Integral Equations (SIEs) are more appropriate. This research proposes a theoretical model using SIEs for thin shaped scatterers to enhance the accuracy of vegetation scattering analysis, ultimately advancing agricultural monitoring through remote sensing.