Artificial Intelligence | Robotics and Control | Machine Learning Dynium | Digital Agronomy with the Help of Robotic Vehicle


Enterprise, Computer Software, Agriculture, Hardware, Computer Vision, Robotic Vehicle, Data Analytics Oxford, Oxfordshire, United Kingdom

Dynium

Artificial Intelligence | Robotics and Control | Machine Learning


Dynium | Digital Agronomy with the Help of Robotic Vehicle

Dynium

Computer Software, Agriculture, Hardware, Computer Vision, Robotic Vehicle, Data Analytics


Oxford, Oxfordshire, United Kingdom

At Dynium we develop autonomous off-road vehicle technology. We specialise in high-value GPS denied environments using Computer Vision and LiDAR sensors. Using advanced robotics, we develop vision-based crop analytics systems. These reduce farmer costs, alleviate risks, increase yields and improve the sustainability of fruit production.

To solve the challenge, we’ve taken techniques developed for driverless cars – computer vision, image analysis, machine learning – and applied our own, in-house yield-analytics algorithms to develop an autonomous, digital orchard management system. Dynium’s systems employ driverless-car platforms, adapting them for the orchard environment. Our approach uses proven  technology to provide a dependable, robust yet affordable management solution: the digital orchard.

 
 

   Total Funding: N/A

   Funding Stage: Seed

   Business Stage: Scaling Up

   Market: B2B

   Company Size: 26 to 50

   Founded: 2017

 
 
 
 
Charles Kirby


Charles Kirby
Founder and CEO

Christopher Marshall


Christopher Marshall
Chief Technology Officer

 
 

Dynium is growing. Want to work at Dynium? Dynium is hiring. Join team at Dynium

 
 
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