AI RESEARCH
PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
arXiv CS.LG
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ArXi:2603.27101v1 Announce Type: cross Large-scale maps of field boundaries are essential for agricultural monitoring tasks. Existing deep learning approaches for satellite-based field mapping are sensitive to illumination, spatial scale, and changes in geographic location. We conduct the first systematic evaluation of segmentation and geospatial foundation models (GFMs) for global field boundary delineation using the Fields of The World (FTW) benchmark.