Major project
Agriculture & Food
Mandi price forecasting for farmers
Forecast wholesale prices of key crops in Indian mandis to help farmers decide when and where to sell.
The brief
Farmers often sell at the worst time because they cannot see where prices are heading. Using daily mandi prices and arrivals, forecast prices for a few crops across nearby markets, and build an advisory that says whether to sell now or wait, and where. Good looks like: forecasts that beat simple baselines, a sell-or-wait advice tested on past seasons, and an advisory a farmer could follow.
What you will build
- Collect daily prices and arrivals for chosen crops and markets
- Clean and align the series
- Build baselines and forecasting models
- Design and backtest sell-or-wait advice
- Add weather and festival effects
- Build the advisory and write the report
Free, open data to build it with
- Agmarknet: mandi prices and arrivals ↗ Government of India
- Open Government Data Platform India ↗ Government of India
Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.