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Optimizing plant health in indoor farming using reinforcement learning

At a glance

  • Project leader : Dr. Claus Horn
  • Project budget : CHF 15'000
  • Project status : completed
  • Funding partner : Innosuisse (Innovationsscheck / Projekt Nr. 59624.1 INNO-ICT)
  • Contact person : Claus Horn

Description

The research question we tackle in this project is "How can we automatically optimize the growth path of indoor-farming plants?". To achieve this goal, we develop new algorithms to measure plant health and growth. We then evaluate reinforcement learning based approaches to optimize these metrics.