This talk details an end-to-end analysis pipeline for early-season crop mapping. We demonstrate how to process multi-sensor Sentinel data , automate CWT scalogram generation , and deploy optimized PyTorch CNN models. This workflow enables rapid, scalable geospatial inferencing by minimizing data sequence requirements.