Plant.id Sensor is a system for real-time field analysis from your agriculture machine
The computational unit inside the machine cabin process photos from all cameras. Then the unit analyses images with machine learning to create extremely accurate documentation for a precision agriculture application map including:
- Weed spots
- Crop health assessment
- Crop damage assessment and counting
- Soil analysis and pests detection
The computational unit utilizes 472 GFLOPS of computing performance thanks to the onboard FPGA chip (AI accelerator), it allows to run an advanced machine learning model to be run on each of the cameras at once powered just with an automotive power socket.