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https://doi.org/10.21256/zhaw-26815| Publication type: | Working paper – expertise – study |
| Title: | A learned simulation environment to model plant growth in indoor farming |
| Authors: | Amacker, Julian Kleiven, Thomas Grigore, Mihai Albrecht, Patrick Horn, Claus |
| et. al: | No |
| DOI: | 10.48550/arXiv.2212.03155 10.21256/zhaw-26815 |
| Extent: | 8 |
| Issue Date: | 6-Dec-2022 |
| Publisher / Ed. Institution: | arXiv |
| Other identifiers: | arXiv:2212.03155 |
| Language: | English |
| Subjects: | Indoor farming; Plant growth modeling; Deep reinforcement learning |
| Subject (DDC): | 378: Higher education |
| Abstract: | We developed a simulator to quantify the effect of changes in environmental parameters on plant growth in precision farming. Our approach combines the processing of plant images with deep convolutional neural networks (CNN), growth curve modeling, and machine learning. As a result, our system is able to predict growth rates based on environmental variables, which opens the door for the development of versatile reinforcement learning agents. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/26815 |
| License (according to publishing contract): | CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International |
| Departement: | Life Sciences and Facility Management |
| Organisational Unit: | Institute of Computational Life Sciences (ICLS) |
| Published as part of the ZHAW project: | Optimierung der Pflanzengesundheit im Indoor-Farming mit Hilfe von Verstärkendem Lernen |
| Appears in collections: | Publikationen Life Sciences und Facility Management |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2022_Amacker-etal_Learned-simulation-environment-plant-growth-indoor-farming.pdf | 495.75 kB | Adobe PDF |  View/Open |
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Amacker, J., Kleiven, T., Grigore, M., Albrecht, P., & Horn, C. (2022). A learned simulation environment to model plant growth in indoor farming. arXiv. https://doi.org/10.48550/arXiv.2212.03155
Amacker, J. et al. (2022) A learned simulation environment to model plant growth in indoor farming. arXiv. Available at: https://doi.org/10.48550/arXiv.2212.03155.
J. Amacker, T. Kleiven, M. Grigore, P. Albrecht, and C. Horn, “A learned simulation environment to model plant growth in indoor farming,” arXiv, Dec. 2022. doi: 10.48550/arXiv.2212.03155.
AMACKER, Julian, Thomas KLEIVEN, Mihai GRIGORE, Patrick ALBRECHT und Claus HORN, 2022. A learned simulation environment to model plant growth in indoor farming. arXiv
Amacker, Julian, Thomas Kleiven, Mihai Grigore, Patrick Albrecht, and Claus Horn. 2022. “A Learned Simulation Environment to Model Plant Growth in Indoor Farming.” arXiv. https://doi.org/10.48550/arXiv.2212.03155.
Amacker, Julian, et al. A Learned Simulation Environment to Model Plant Growth in Indoor Farming. arXiv, 6 Dec. 2022, https://doi.org/10.48550/arXiv.2212.03155.
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