PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study

This repository is used for maintaince of project website for the paper "PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study." DOI:https://doi.org/10.5061/dryad.2v6wwpzp4

Citation

Please cite the following reference if you use PRMI dataset.

Plain Text:

W. Xu, G. Yu, Y. Cui, R. Gloaguen, A. Zare, J. Bonnette, J. Reyes-Cabrera, A. Rajurkar, D. Rowland, R. Matamala, 
J. Jastrow, T. Juenger, and F. Fritschi. “PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study.” 
In AI for Agriculture and Food Systems (AIAFS) Workshops at the AAAI conference on artificial intelligence. 
February, 2022.

BibTex:

@misc{xu2022prmi,
      title={PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study}, 
      author={Weihuang Xu and Guohao Yu and Yiming Cui and Romain Gloaguen and Alina Zare and Jason Bonnette 
      and Joel Reyes-Cabrera and Ashish Rajurkar and Diane Rowland and Roser Matamala and Julie D. Jastrow 
      and Thomas E. Juenger and Felix B. Fritschi},
      year={2022},
      eprint={2201.08002},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}