Project-AgML/blackgram_plant_leaf_disease_classification

Blackgram Plant Leaf Disease Classification

A dataset for disease classification of Blackgram leaves. The dataset contains 1,007 images across 5 classes: anthracnose, healthy, leaf_crinckle, powdery_mildew, yellow_mosaic.
Images per class:

• anthracnose: 230
• healthy: 221
• leaf_crinckle: 152
• powdery_mildew: 180
• yellow_mosaic: 224

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{talasila2022black,
  title={Black gram Plant Leaf Disease (BPLD) dataset for recognition and classification of diseases using computer-vision algorithms},
  author={Talasila, Srinivas and Rawal, Kirti and Sethi, Gaurav and Mss, Sanjay and others},
  journal={Data in Brief},
  volume={45},
  pages={108725},
  year={2022},
  publisher={Elsevier}
}

Talasila, Srinivas; Rawal, Kirti; Sethi, Gaurav; MSS, Sanjay; M, Surya Prakash Reddy (2022), “Blackgram Plant Leaf Disease Dataset”, Mendeley Data, V3, doi: 10.17632/zfcv9fmrgv.3