• Objectives: recognize the plant disease on plant leaf and fruit using RGB images
  • RGB image
  • leaf, fruit
  • plant: tomato, wheat
  • disease

• Ag task: agricultural task
  • disease: disease classification or object detection
  • plant: plant identification
  • woody: woody identification
  • pest: pest detection or classification
• ML task: machine learning task, such as classification (cls), object detection (obj), segmentation (seg)
• Environment (env): where to take pictures, lab (lab), real scenario (real) such as field and greenhouse, from internet (internet)
• Organs: leaf, fruit, flower, root, bark or stem, habitat

• python library for food, agriculture
• China agricultural disease and pest dataset but not available
• Grape disease
• PlantifyDr software
• Ariel image
• ICL plant woody identification
• Vegetable crops at an early stage
• Fuji apple 3D point cloud
• Soybean seed grade, not image
• whitefly counting
• Cassava root

Please fell free to contribute this project. You can follow the example in the table.

If this project is useful for you, please cite this project.

@misc{MinglePlant,
  author={Mingle Xu},
  title={Plant Disease Recognition Datasets},
  howpublished={\url{https://github.com/xml94/Plant_disease_recognition}},
}