Keeping your garden free from unwanted plants and excess weeds is half the process of gardening. A maker and developer, aka Nathan of NathanBuildsDIY, has taken the problem to a whole new level by developing this impressive thing. raspberry pi– Powered Solution. After considering possible avenues, he AI-driven robot Identify weeds before using a Fresnel lens to focus light from the sun until the weeds burn.
The system consists of a large wooden frame that can be moved over garden paths. It is equipped with a camera to observe areas where the Pi evaluates potential weeds. When an unwanted plant is found, its Fresnel lens moves into place and the machine waits until enough weeds have been burned.
Nathan was kind enough not only to demonstrate the project, but also to share a video that fully disassembled the build process for anyone to easily reproduce. He covers everything from physical schematics to wiring diagrams and dives deep into the code used to operate the system.
A full parts list can be found in the video description, but here’s a quick overview of the most important components. It uses a Raspberry Pi 3B+, but can easily be replaced with a Raspberry Pi 4 or Raspberry Pi Zero 2W. Concentrating the sunlight to burn the plants requires a Fresnel lens, which is held in place by a series of wheels. and the motor. Everything is powered by a LiPo battery and held in place by a custom wood frame.
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You need quite a bit of software to program the unit. If you’ve played with AI on the Pi before, you’re likely to find some familiar applications. To run Tensorflow on Pi you need OpenCV and Tflite (Tensorflow Lite). Other base libraries are used as well, and Picamera is used to control the official Raspberry Pi camera and capture images.
Click here for more information raspberry pi project, I highly recommend checking out the video where you can see it in action. Visit Nathan’s official YouTube channel. Nathan Builds DIYtake a closer look at this impressive gardening tool and be sure to follow him for more cool creations.
