Plant Pathology

Predicting Disease from Images of Apple Leaves

This website provides a way to quickly diagnose your apple tree for common fungal diseases! Fungal diseases, like rust and scab, are common on fruit trees, and can cause serious damage to new new growth and therefore durastically reduce harvests and overall plant health. With most plant pathoology issues, catching an infection early, and applying the appropriate treatments as soon as possible provides the best chance of defeating the fungi before the infection becomes too widespread to salvage a harvest or even the plant in worst cases. Read through this page to get some more info on how we make predictions based of an image, or go here to try uploading or taking an image of your own!

Prediction will show here.

online_prediction

To ask our artificial intelligence for a classification on the health of the provided apple leaf, click the green button to the bottom right of the image! Above we've provided a healhty apple leaf - lets hope our AI can at lest get this one right! When you press the green button, both the prediction, and a quick bar plot of the certainty of the nueral network's decision will be shown. The certainty displayed shows how confused the network may be when telling us if a plant is or isn't healthy - the values represent the probability that the given image belongs to one of the following classes: Helthy, Multiple Diseases, Rust, or Scab.

Prediction will show here.

online_prediction

Now lets look at an obviously unhealthy leaf we've provided. These dark spots that have taken a stronghold on the leaves in the fore and background of this image are caused by the fungus Venturia inaequalis. Commonly known as scab, a fungus that overwinters in fallen diseased leaves, then in the spring shoots its spores into the air to land on developing leaves, flowers, fruit, or twigs. Spores need several hours of moisture on the plant surface in order to start new infections, therefore plants with inadequate air flow or plants exposed to splashing irrigation or rain are more susceptible to new infections.
Click the predict button and see what the neural net thinks!

Prediction will show here.

online_prediction

Apples and flowering crabapples are both susceptible to several Rust diseases that commonly effect the leaves and fruit of infected trees. While there are varying types of Rust, all are caused by fungi in the genus Gymnosporangium, and have similar visual effects and cause similar damage, so are treated as one disease by this artificial intelligence. Generally, small yellow spots will begin to form on new growth rapidly after bloom, and these spots will grow larger and brown in the center where the fungus eventually creates small black fruiting bodies. General control methods include avoiding areas heavily populated with Juniperus spp. trees and shrubs - as they cary the disease and allow for the two year lifecycle creating galls or "cedar apples" that send billions of spores for miles given proper environmental conditions, and fungicides. Damage includes lost fruit and yellowing and dropped leaves - however copmplete defoliation is rare.
Click the predict button to see what the AI thinks!

Prediction will show here.

online_prediction

So what happens when a tree has both diseases? How will the neural network react to having signals for both Rust and Scab in the provided image? Here we've provided an image of a leaf that has been infeced with both of the fungal diseases our network has learned to recognize.
Go here to learn more about the training data, neural network used, and general image processing that goes into making these predictions!