Crop Yield Forecasting overview

Generates crop yield forecasts across growing regions -- ingesting historical yield records, current-season remote-sensing vegetation indices, soil-quality survey data, and weather-model outputs, running ensemble machine-learning models calibrated per crop variety and region, quantifying forecast uncertainty through Monte Carlo simulation, and feeding production estimates into supply-chain and commodity-trading planning systems. Produces yield forecast reports with confidence intervals, model performance dashboards, and early-warning alerts for below-trend projections. Excludes planting and harvesting operations.