The dataset was compiled from numerous websites and validated by Bangladesh Agricultural Research Institute (BARI).
You are welcome to use and/or refer to the Potato Disease dataset in your research as long as you credit the original paper.
| Disease Name | Total Images | Causes of Disease |
|---|---|---|
| Common scab | 62 | Bacteria |
| Blackleg | 60 | Bacteria |
| Dry rot | 60 | Fungus |
| Pink rot | 57 | Fungus |
| Black scurf | 58 | Fungus |
| Healthy Potatoes | 80 | - |
| Miscellaneous | 74 | - |
| Total | 451 | - |
@INPROCEEDINGS{10099162,
author={Faria, Fatema Tuj Johora and Bin Moin, Mukaffi and Al Wase, Ahmed and Sani, Md. Rabius and Hasib, Khan Md and Alam, Mohammad Shafiul},
booktitle={2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC)},
title={Classification of Potato Disease with Digital Image Processing Technique: A Hybrid Deep Learning Framework},
year={2023},
volume={},
number={},
pages={0820-0826},
doi={10.1109/CCWC57344.2023.10099162}}
Published version: https://ieeexplore.ieee.org/document/10099162
ResearchGate link: https://www.researchgate.net/publication/370123763