Smart Farm IoT

Context

[TO COMPLETE: the project setting — course, team, duration, client or pilot plot.]

The problem

[TO COMPLETE: the concrete problem observed in the field — manual irrigation, water waste, no visibility over plot conditions.]

The solution

The platform splits the problem into four independent layers. Sensors publish readings to an MQTT broker; the Flask API consumes those messages, applies the irrigation rules and stores time series in PostgreSQL. A dashboard shows plot status and the history of decisions.

The rules are deliberately readable: one moisture threshold per crop, a time window, and a guard that prevents two consecutive triggers. The goal is not to replace the farmer, but to provide reliable information and a reversible automatic action.

My role

[TO COMPLETE: what you personally built — firmware, API, data model, deployment, tests.]

What I take away

[TO COMPLETE: two or three sentences about what you would do differently or what you learned.]