Abstract: Reliable seed quality assessment is essential for agricultural productivity, yet manual inspection is slow, inconsistent, and error-prone. This study investigates convolutional neural ...

Abstract: Object detection in aerial imagery, particularly from unmanned aerial vehicles (UAVs) and remote sensing platforms, is crucial but faces significant challenges such as modality misalignment, ...