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Case Study — 03
Crop Advisor
A data-driven advisory system that helps farmers make informed decisions using weather data, soil metrics, and crop recommendations.
Technology Stack
PythonFastAPIPostgreSQLReactREST APIs
The Problem
Farmers lacked access to actionable, data-backed guidance for crop selection and management decisions.
The Solution
Created a crop advisory platform that ingests weather and soil data, applies recommendation logic, and delivers clear guidance through a simple interface.
Architecture
- Python data processing pipeline
- FastAPI backend serving recommendation endpoints
- PostgreSQL storing regional and crop data
- React frontend for advisory dashboards