Setup of a plant growing system, with the goal of testing growing strategies with A.I. (with uncertainty and machine learning). In fact, plant growing is a repetitive and time-consuming task, which can be automated to some extent, saving space, optimizing resources and reducing pesticide use.


Implementation on real robotic systems (e.g. sensors and actuators) is pursued, with the following main goals:

  1. complete a state of the art of vegetable growing systems, given the constraints identified,
  2. propose a prototype (e.g.,
  3. propose an experimental setup and implementation (graphical interface, data recording, etc.), and
  4. optimize and deploy growing strategies for the platform.