Hydroponics System

This IoT-enabled hydroponics system monitors environmental conditions, automates actions, and provides real-time insights and alerts for hydroponics farms.

The Challenge

Running a hydroponics farm means keeping a close eye on many variables at once- temperature, humidity, water levels, pH, nutrient balance- and getting any one wrong can quickly affect plant health. Doing this manually wasn’t practical:

  • No way to track environmental conditions in real time without constant manual checks
  • Fans, water pumps, and nutrient pumps had to be adjusted manually instead of responding automatically to changing conditions
  • Water tanks could run dry or overflow without anyone noticing in time
  • No instant alerts when something went wrong, so problems could go unnoticed until plants were already affected

The farm needed a system that could watch all of this continuously and act on it, not just report numbers after the fact.

Our Solution

We built an IoT-enabled hydroponics system, starting with a set of sensors that keep tabs on everything that matters: temperature, humidity, water level, and pH/EC balance in the nutrient solution. That data feeds straight into a mobile app, so the farm owner can check conditions from wherever they are, not just when they’re standing next to the tank.

The bigger piece was making the system actually act on what it sees, not just report it. If temperature or humidity drifts out of range, the fan switches on by itself. If the water level drops too low, the pump tops up the tank automatically. Nutrient dosing works the same way, adjusting on its own to keep pH and EC where they need to be. None of this needs someone standing around watching a dial.

The app itself ties everything together: a dashboard shows live readings and plant growth status at a glance, and if anything looks off, it sends an alert right away instead of waiting for someone to notice during their next check-in.

Results

The farm now runs on real-time monitoring and automation instead of manual guesswork. Environmental conditions are tracked continuously, key actions like fan control, water refilling, and nutrient dosing happen on their own, and alerts catch problems early instead of after the damage is done.

Tech stack we used

AI & automation solutions

Frontend: ReactJs

Backend: NodeJs

Mobile: Flutter

Database & infrastructure

Database: MongoDB & Redis

Cloud/Hosting: AWS

Other Tools/Integrations: Flolive