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)
- Project partner : Fruitful Farming AG
- 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.
Publications
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Amacker, Julian; Kleiven, Thomas; Grigore, Mihai; Albrecht, Patrick; Horn, Claus,
2022.
A learned simulation environment to model plant growth in indoor farming.
arXiv.
Available from: https://doi.org/10.48550/arXiv.2212.03155