U-Net for Agricultural Field Segmentation [P]

Hi everyone, I’m working on a solo student project (it was supposed to be a team of five, but here I am) focused on agricultural field analytics. Architecture: U-Net with an attention mechanism Data: Trained on the AI4Boundaries dataset (5 channels) The problem: When I switch to raw Sentinel-2 data, the model’s confidence drops to almost zero. Questions: Should I stack images from different dates to reduce noise and cloud interference? How should I handle varying sun and viewing angles that are not present in the.