arXiv Open Access 2022

A Learned Simulation Environment to Model Plant Growth in Indoor Farming

J. Amacker T. Kleiven M. Grigore P. Albrecht C. Horn

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Abstrak

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.

Topik & Kata Kunci

eess.SY cs.LG

Penulis (5)

J. Amacker

T. Kleiven

M. Grigore

P. Albrecht

C. Horn

Format Sitasi

APA MLA BibTeX

Amacker, J., Kleiven, T., Grigore, M., Albrecht, P., Horn, C. (2022). A Learned Simulation Environment to Model Plant Growth in Indoor Farming. https://arxiv.org/abs/2212.03155

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓