Plant.id Sensor consists of multiple high-res cameras and a computational unit. The computational unit process stream video from all cameras and analyses the image with machine learning to create extremely accurate application map including:
- weed spots (including weed species)
- crop health assessment (diseases detection)
- crop damage assessment
- crop counting
- soil analysis
- pests detection
Plant.id Sensor is a prototype. In 2022 it will be able to control sprayer valves in real-time according to the conditions.