Inspiration
Most of our group attended HackDavis 2017 and we all got Raspberry-Pi's, so we wanted to do something with them.
What it does
Our program senses and identifies color and combines that information with weather data to evaluate environmental wellness, but more specifically whether or not your lawn has enough water.
How we built it
We built it in Python and transferred the necessary files to a Raspberry-Pi.
Challenges we ran into
The main challenge was internet, but we many of us were inexperienced in using hardware and Python.
Accomplishments that we're proud of
We were able to connect a laptop to the Raspberry-Pi. Additionally, we were able to make a program that we are proud of.
What we learned
We learned to extract data from online databases, navigate through the Raspberry-Pi interface, and persevere through adversities.
What's next for EcoSense
The next step for EcoSense is to proceed with our original plan of connecting the Raspberry-Pi with a camera to get live data to fully automate the lawn care experience.
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