Researchers have developed a new forecasting model for vegetable prices in Nepal, aiming to improve food security. The model, called the Kalimati Vegetable Price Index (KVPI), aggregates data from 135 daily wholesale commodities in Kathmandu over a decade. It utilizes 64 features and a Momentum-Corrected Online Stacking Ensemble, outperforming other statistical and deep learning models. The system achieved a 0.68% MAPE and 84.5% R-squared at a 90-day horizon, offering a practical tool for policymakers and supply chain actors. AI
IMPACT Provides a reliable, open-source tool for predicting agricultural price movements, potentially enhancing food security in emerging economies.
RANK_REASON The cluster contains an academic paper detailing a new forecasting model and its performance metrics.
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