Project Details

Pear Disease Classification using Transfer Learning

Pear Disease Classification using Transfer Learning

This is a Machine Learning (Deep Learning) model trained on the following dataset

You may like to take a look at the following article for more information regarding the DiaMos dataset This project uses tensorflow model as transfer learning - its objective is simple. Find out if the pear leaf is healthy, curl , spot or slug.

Context of the Project

To help detect if the pear leaves/pear tree is healthy through inspecting its leaves

Interpreting the images

In this project, the focus is to use the andriod application to assist us in figuring out what kind of disease is the pear tree getting. There are 4 ground truths here. Is the pear tree healthy? Or is it diseased? If it is diseased, there are different diseases involved - one exhibits a curl leaf, exhbits a spots and slug infestation

  1. Is the pear tree healthy?
  2. is it diseased?
    1. One exhibits curl
    2. One exhibits spots
    3. One exhibits slug

While you do not get a live demo on this, here are some screenshots of the web app and andriod application that was created Web (using Flask)

Dr. Francesca Maridina Malloci has put up the dataset on this site.
Please get in touch with me for the andriod code if you are interested.

Other References

If you are interested, you can read other articles like this on machine learning and IoT can be used to help farmers and crop owners in a better way!