Major project
Agriculture & Food
District crop yield prediction with satellite and weather data
Predict crop yields for Indian districts before harvest from weather and satellite data.
The brief
State agriculture departments need early yield estimates to plan procurement and relief. Combine district crop statistics with weather and satellite vegetation data to predict yields before harvest, and map districts at risk. Good looks like: accurate early-season predictions validated on past years, and a risk map officials could use.
What you will build
- Assemble district crop production and area data
- Add seasonal weather from NASA POWER
- Add vegetation indices from satellite data
- Train and validate year-by-year yield models
- Map districts at risk of low yield
- Write the report for an agriculture department
Free, open data to build it with
- Crop Production in India ↗ Kaggle (Government of India data)
- NASA POWER: weather data ↗ NASA
- Copernicus Data Space (Sentinel satellite data) ↗ European Space Agency
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.