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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