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Introduction to the model

Banner image for the model

The Plant Leaf Disease Classification pretrained model available on ArcGIS Living Atlas of the World is a deep learning model that is used to classify diseases in plant leaves.

Fruit and vegetable plants are vulnerable to diseases that can negatively affect crop yield, causing planters to incur significant losses. These diseases can affect the plants at various stages of growth. Planters must be on constant watch to prevent them early, or infestation can spread and become severe and irrecoverable. There are many types of pest infestations of fruits and vegetables, and identifying them manually for appropriate preventive measures is difficult and time-consuming.

This pretrained model can be deployed to identify plant diseases efficiently for carrying out suitable pest control. The training data for the model primarily includes images of leaves of diseased and healthy fruit and vegetable plants. It can classify the multiple categories of plant infestation or healthy plants from the images of the leaves.

License requirements

To complete this workflow, the following are the license requirements:

  • ArcGIS DesktopArcGIS Image Analyst extension for ArcGIS Pro
  • ArcGIS EnterpriseArcGIS Image Server
  • ArcGIS OnlineArcGIS Image for ArcGIS Online

Model overview

This model has the following characteristics:

  • Input—High-resolution, three-band street-level imagery or oriented imagery, in a compatible image format, per the Classify Pixels Using Deep Learning tool.
  • Output—Classified image of either a leaf with any plant disease or a healthy leaf or of the background classes.
  • Compute—This workflow is compute intensive and a GPU with compute capability of 6.0 or higher is recommended.
  • Applicable geographies—This model is expected to work well in all regions globally. However, results can vary for images that are statistically dissimilar from training data.
  • Architecture—This model uses the ResNet50 model architecture implemented in ArcGIS API for Python.
  • Accuracy metrics—This model has an overall accuracy of 97.88 percent.

Access and download the model

Download the Plant Leaf Disease Classification pretrained model from ArcGIS Living Atlas of the World. Alternatively, access the model directly from ArcGIS Pro, or consume it in ArcGIS Image for ArcGIS Online.

  1. Browse to ArcGIS Living Atlas of the World.
  2. Sign in with your ArcGIS Online credentials.
  3. Search for Plant Leaf Disease Classification and open the item page from the search results.
  4. Click the Download button to download the model.

    You can use the downloaded .dlpk file directly in ArcGIS Pro.

Release notes

The following are the release notes:


November 2022

  • First release of Plant Leaf Disease Classification