A Learned Simulation Environment to Model Plant Growth in Indoor Farming

• URL: http://arxiv.org/abs/2212.03155v1
• Date: Tue, 6 Dec 2022 17:28:13 GMT
• Title: A Learned Simulation Environment to Model Plant Growth in Indoor Farming
• Authors: J. Amacker, T. Kleiven, M. Grigore, P. Albrecht, and C. Horn
• Abstract summary: 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.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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.

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