| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Bud_Root_Dropping |
| '1': Bud_Rot |
| '2': Gray_Leaf_Spot |
| '3': Leaf_Rot |
| '4': Stem_Bleeding |
| splits: |
| - name: train |
| num_bytes: 1096196081 |
| num_examples: 5798 |
| download_size: 1022205386 |
| dataset_size: 1096196081 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
|
|
| # Coconut Tree Disease Classification |
|
|
| A dataset for disease classification of coconut trees. The dataset contains 5,798 images across 5 classes: Bud_Root_Dropping, Bud_Rot, Gray_Leaf_Spot, Leaf_Rot, Stem_Bleeding. |
| Images per class: |
| - Bud_Root_Dropping: 514 |
| - Bud_Rot: 470 |
| - Gray_Leaf_Spot: 2,135 |
| - Leaf_Rot: 1,673 |
| - Stem_Bleeding: 1,006 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{thite2023coconut, |
| title={Coconut (Cocos nucifera) tree disease dataset: A dataset for disease detection and classification for machine learning applications}, |
| author={Thite, Sandip and Suryawanshi, Yogesh and Patil, Kailas and Chumchu, Prawit}, |
| journal={Data in Brief}, |
| volume={51}, |
| pages={109690}, |
| year={2023}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| PATIL, Kailas; Thite, Sandip; Suryawanshi, Yogesh; chumchu, prawit (2023), “Coconut Tree Disease Dataset”, Mendeley Data, V1, doi: 10.17632/gh56wbsnj5.1 |
