Aim for the weeds
Asterix is the first fully automated farming robot that uses a Deep Learning Neural Network to map its way around weeds and crops and carefully drop a precise amount of herbicide directly onto the weed, without touching the crop or soil. Our patented nozzle technology reduces herbicide usage by 95%.
Less manual labor
Our light-weight, autonomous robot is the only solution on the market that successfully addresses weeding challenges while reducing herbicide usage by 95%. Asterix incorporates a patented, vision-based, ultra-high precision nozzle system. This is built on top of a state-or-the-art machine learning platform that is trained to differentiate the appearance of intertwined crops and their weeds. Asterix applies herbicide only to weeds, not crop or soil, enabling the use of novel, environmentally safe weeding agents in both conventional and organic agriculture.
The robot for your row crops
Asterix enables intra-row weeding, even in sown crops that are notoriously difficult to weed as the weeds emerge and develop simultaneously with the crop, and expands the range of herbicides used. Novel and environmentally-safe weeding agents such as acetic acid or urea can be used to chemically burn even herbicide-resistant weeds.
Reduced soil compaction
Light WEIGHT equipment
To reduce the problem many farmers have with soil compaction we have decided to make our robot as light as possible. With this light weight design Asterix also has the benefit of being able to enter a wet field then tractors can not. This makes it possible to handle weeds when you need to, not when the conditions are right.
The Asterix Project has been supported by
Funded by the European Union
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 829983
Funded by INNOVATION NORWAY
This project has received support from Innovation Norway through Miljøteknologi ordningen
Funded by GROFONDET
Grofondet have supported this project.
Funded by FORSKNINGSRÅDET
Norwegian research council has supported this project through several programs