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Research-driven innovation
We remain a research-active organization that publishes our work and collaborate with academic institutions.
We are a team brought together by a shared background in academia. All of our founders hold a PhD and have spent years actively contributing to scientific research.
Research keeps us curious at AI Lab. We work closely with external partners, combining our background with the vision of other companies and institutions to build, learn, and innovate together.
Recent publications in AI Lab include
DecimeterWeedMan: An open-source platform for sub-decimeter spot-spraying integrating AI-vision and spray dynamics modeling
Luca Ponti, Michael Søndergaard Nørbo Madsen, Søren Kelstrup Skovsen, Marco Gentili, and Rasmus Nyholm Jørgensen
Smart Agricultural Technology · sciencedirect.com ↗
Adapting a Globally-Trained Plant Identification Model for Multi-Species Detection of Invasive Alien Plants in Roadside Imagery
Goëau H, Espitalier V, Lombardo J-C, Botella C, Høye TT, Dyrmann M, Bonnet P, Joly A
Biodiversity Information Science and Standards · biss.pensoft.net ↗
Adapting a global plant identification model to detect invasive alien plant species in high-resolution road side images
Vincent Espitalier, Jean-Christophe Lombardo, Hervé Goëau, Christophe Botella, Toke Thomas Høye, Mads Dyrmann, Pierre Bonnet, Alexis Joly
Ecological Informatics 89 · sciencedirect.com ↗
Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age
Pringle, Stephen, et al.
Nature Ecology & Evolution · nature.com ↗
High-speed camera system for efficient monitoring of invasive plant species along roadways
Dyrmann, Mads, et al.
F1000Research · pmc.ncbi.nlm.nih.gov ↗
Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms
Tanaka, Takashi S. T., et al.
Drones · mdpi.com ↗
Camera-based estimation of sugar beet stem points and weed cover using convolutional neural networks
Dyrmann, Mads, et al.
Precision agriculture · brill.com ↗