Optimizing plant health in indoor farming using reinforcement learning
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.
Key Data
Projectlead
Dr. Claus Horn
Project partners
Fruitful Farming AG
Project status
completed, 11/2021 - 05/2022
Funding partner
Innovationsscheck / Projekt Nr. 59624.1 INNO-ICT
Project budget
15'000 CHF