AI Technologies

The problem

Enano develops robots to monitor fields and their quality: turf/grass quality, presence of desease, weed etc. Currently the robot collects images which are processed manually by a specilized operator.

THE SOLUTION

We developed multiple AI solutions able to score automatically the quality of the grass/turf. Also we are currently developing an AI model for specific grass types to detect weeds/deseases. Accuracy is above 80%.

The problem

At the moment players can play video games against ‘ruled-based’ opponents not clever enough. There is the need to create agents (algorithms) able to play with/against players in a similar fashion of the ‘advanced chess’ today ( link text).

THE SOLUTION

Using reinforcement learning algorithms we have developed agents able to complete adventure games. The hybrid human-reinforcement learning algorithm is able to play the videogame 30% faster than any machine alone. This solution is then applied to drone control by instructions ('go to red door') instead of commands (left, right, etc.).

Agriculture/Environment

Case studies:

The problem

THE SOLUTION

The problem

THE SOLUTION

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