This study establishes a theoretical framework for a microwave remote sensing technique to detect Red Palm Weevil (RPW) infestation in date palms. By employing an empirical dielectric model, we analyze the interaction of microwaves with healthy and infested palm tissue slabs. Our simulations demonstrate that infested tissue exhibits a distinct microwave signature, characterized by significantly higher reflection and lower absorption above 2.45 GHz, a frequency within the practical ISM band. We introduce the reflection-to-absorption ratio (R) as a novel diagnostic metric, which effectively amplifies the contrast between healthy and infested states by quantifying their distinct energy partitioning. This work provides the physical foundation for a new class of non-invasive sensors, offering a direct strategy for early RPW detection by probing internal biophysical changes.
