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Mithun2009/Crop_Disease_Images

Crop Disease Expert Annotations 1,092 crop images annotated by agricultural experts with ground truth diagnoses covering pests, diseases, and nutrient deficiencies across 74 crop types. Dataset File: annotations.csv (4 columns) Column Description image_url URL to the crop image crop Crop or plant identified by the expert diagnosis Pest, disease, or nutrient deficiency name(s); Healthy if none details Expert's observations on visible symptoms… See the full description on the dataset page: https://huggingface.co/datasets/Mithun2009/Crop_Disease_Images.

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Dataset Card

Crop Disease Expert Annotations

1,092 crop images annotated by agricultural experts with ground truth diagnoses covering pests, diseases, and nutrient deficiencies across 74 crop types.

Dataset

File: annotations.csv (4 columns)

ColumnDescription
image_urlURL to the crop image
cropCrop or plant identified by the expert
diagnosisPest, disease, or nutrient deficiency name(s); Healthy if none
detailsExpert's observations on visible symptoms

Multiple diagnoses per image are semicolon-separated.

Stats

Count
Total annotations1,092
Diseased777
Healthy315
Unique crops74

Top 10 Crops

CropCount
Chilli135
Potato109
Brinjal91
Maize87
Mango68
Tomato52
Papaya47
Wheat39
Mustard34
Bean33

Top 10 Diagnoses

DiagnosisCount
Leaf Curl Virus89
Thrips73
Aphids62
Fall Armyworm57
Mites52
Powdery Mildew49
Anthracnose34
Shoot and Fruit Borer33
Mosaic Virus25
Leaf Miner21

Source

Annotations were collected by Digital Green as part of the Farmer.Chat project, an AI-powered agricultural advisory platform serving smallholder farmers.

License

This dataset is released under CC-BY-4.0. You are free to share and adapt the data for any purpose, provided you give appropriate credit to Digital Green.

Citation

bibtex
@dataset{digigreen_crop_disease_2026,
  title={Crop Disease Expert Annotations},
  author={Digital Green},
  year={2026},
  url={https://huggingface.co/datasets/DigiGreen/Crop_Disease_Images},
  license={CC-BY-4.0}
}