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Field-level (not county-level) crop yield predictions with per-field confidence intervals and SHAP driver attributions, built on a four-stage pipeline: ingestion of Sentinel-2 and MODIS imagery, weather telemetry, soil composition and historical yield records; derived signal layer of NDVI growth curves, precipitation accumulation, heat-stress indices, soil-moisture proxies and seasonal anomaly detection; ensemble models continuously recalibrated across regions, seasons and crop types against field-level USDA-validated yield ground truth.
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