Contact MeGitHub logoLinkedin Logo

Tools Used:

  • Raspian OS
  • Windows OS
  • Raspberry Pi 3
  • Humidity Sensor
  • Microsoft Excel
  • Python

An avid botanist, and personal friend, wanted to monitor humidity levels in his greenhouse to optimize crop growth. Using my technical expertise, I built a custom system leveraging a Raspberry Pi 3, a humidity sensor, Python, and Microsoft Excel. I developed a server to run on the Raspberry Pi, which was connected to the sensor, and configured it to record humidity readings at regular intervals using the sensor’s API.

These readings were transmitted to a client application I created, which runs on my friend's desktop computer. The client retrieves the recorded data and organizes it in an Excel document, displaying the humidity levels in a clear format. Additionally, I implemented a feature to generate graphs for specified time periods, which allows for users to easily observe trends and make informed decisions about his greenhouse environment.

This system has significantly improved the accuracy of humidity monitoring, helping him create the ideal conditions for crop growth.