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[IEEE CAI 2024] PLNet: Light Recipe Design for Indoor Farming through Generative Deep Learning

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PLNet: Light Recipe Design for Indoor Farming through Generative Deep Learning

This repository includes official implementation of PLNet. PLNet utilizes a generative neural network, trained on plant growth data, to generate light recipes that are expected to result in high biomass yields. The code assumes the availability of a pre-trained biomass estimator prior to the training of PLNet.

Citing PLNet

@inproceedings{verma2024plnet,
  author={Verma, Tanvi and Filho, Ricardo Shirota},
  booktitle={2024 IEEE Conference on Artificial Intelligence (CAI)}, 
  title={PLNet: Light Recipe Design for Indoor Farming through Generative Deep Learning}, 
  year={2024},
  pages={1092-1097},
  doi={10.1109/CAI59869.2024.00197}}

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[IEEE CAI 2024] PLNet: Light Recipe Design for Indoor Farming through Generative Deep Learning

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