Electrical Engineering and Systems Science > Systems and Control
[Submitted on 6 Dec 2022
]
Title: A Learned Simulation Environment to Model Plant Growth in Indoor Farming
Title: 一种用于模拟室内农业中植物生长的学习仿真环境
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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