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Open access Sep 2026

Forecasting agricultural commodity prices using machine learning models

Accurate forecasting of agricultural commodity prices is important for market planning, risk assessment, and agricultural policy support. This study develops a historical-price-based forecasting framework for nine agricultural commodities in Maharashtra, India, using mandi-level AGMARKNET data from 2001 to October 2025...

P. Mahajan, A. Muley, M. Fegade · 0 citations

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