Farm Radar a modular remote sensing system built by Joshua Arts, Jason Cheung, Mohammed Ridwanul and Simon Guo Zirui. It was developed over thirty-six hours for Electric City Hacks 2016 at Trent University. The project was highly successful, winning both the SAP award for project management and third place overall.
Farm Radar uses an Arduino and multiple sensors to track environmental data such as moisture, humidity, light levels, etc. It is also equipped with a nestcam so it can provide a video feed wherever it is set up. All of this data is then sent to a server where it is logged every few seconds. You can then access this data and track trends and potential hazards using an online dashboard web app developed using Sinatra and Dashing. One of the key features is that it is designed to be 100% modular, so you can remove and add new sensors as you wish (up to eight total).
You can also checkout the devpost for this project!
