UBLRPSUI

This repo contains MATLAB code and dataset of the article

• Md Abul Hayat, Jingxian Wu, and Yingli Cao, "Unsupervised Bayesian learning for rice panicle segmentation with UAV images", Plant Methods, 2020.

• Please contact Dr. Jingxian Wu (wuj@uark.edu) before using this dataset for any research purpose.

Dataset

This dataset contains 12 images taken with Unmanned Areal Vehicle (UAV) at the Super Rice achievement Transformative Base (SRTB) of the Shenyang Agricultural University (SYAU) in northeastern China during 2017 and 2018. Filename of Image #1 starts with I1 and so forth for the following images. The filenames of the original images are ended with _UAV.jpg. The rice panicle in each image was manually labeled, and the corresponding manually labeled results of these 12 images have filenames ending with _MAN.jpg. This dataset can also be downloaded from here. Information of these 12 images in this dataset is listed as follows.

Image	Distance	Resolution
I1	3m	820 × 865
I2	3m	810 × 800
I3	3m	1050 × 1075
I4	3m	1050 × 1050
I5	3m	1080 × 1040
I6	3m	1120 × 1070
I7	6m	415 × 410
I8	6m	440 × 415
I9	6m	430 × 430
I10	6m	445 x 440
I11	6m	430 × 430
I12	6m	430 × 420

MATLAB Code

Run main_file.m for executing the algorithm. Please contact Dr. Jingxian Wu (wuj@uark.edu) if you have any questions or suggestions regarding the code or dataset.

Cite Paper

@article{hayat2020unsupervised,
  title={Unsupervised Bayesian learning for rice panicle segmentation with UAV images},
  author={Hayat, Md Abul and Wu, Jingxian and Cao, Yingli},
  journal={Plant methods},
  volume={16},
  number={1},
  pages={1--13},
  year={2020},
  publisher={BioMed Central}
}