The work behind the system.
Farmers need useful information at the point of work. The portfolio app combines alerts and forecast information in a mobile experience, connecting farm activity with machine-learning-supported predictions.
What the project brings together.
Mobile farm support
Bring farm information into a field-friendly mobile application.
Forecasting and predictions
Surface the forecasting and machine-learning prediction features listed in the portfolio scope.
Stock alerts
Use notifications and stock alerts to draw attention to information that needs review.
The workflow, simply.
- Farm information
- Forecast processing
- Prediction review
- Farmer notification
Architecture overview.
Flutter provides the mobile application experience.
Firebase supports the recorded app platform and connected services.
Python ML and LightGBM are the published prediction technologies; model suitability depends on the data and task.
Checks for a comparable deployment.
- Evaluate prediction errors on held-out farm data.
- Check notification relevance and behaviour with intermittent connectivity.
- Review the explanation and uncertainty shown with any forecast.
Useful things to know.
What does Smart Agri-Suite cover?
The portfolio scope covers farmer support for spice farming, including forecasting, stock alerts, machine-learning predictions and notifications.
Are crop-yield improvements guaranteed?
No yield improvement is claimed here. A comparable system needs locally relevant data, field validation and agronomic review before predictions guide decisions.
