Development of AI-ML based models for predicting prices of agri-horticultural commodities such as pulses and vegetable (onion, potato, onion)

Source summary

Develop AI/ML price forecasts for agricultural and horticultural commodities, including pulses and vegetables, to inform Department of Consumer Affairs market interventions. The source describes daily monitoring through price centres, buffer stocks and existing analysis using seasonality, trends, market intelligence, sowing/production estimates and ARIMA models. It gives this operational context but no detailed model architecture or accuracy requirement.