Project to detect the type of Disease on a Tomato plant using its leaf

Description :

• Used Transfer Learning to create a model using Tensorflow.

• The transfer learning model used is VGG19.

• The accuracy of the model in validation data turn out to be 97%

• With a validation loss of less than 0.3

The VGG model with transfer learing look like :

Source:

• The dataset was hosted on kaggle

• https://www.kaggle.com/noulam/tomato

• The dataset contains 10 Categories, displaying the 9 different type of diseases and one category for healthy tomato.

How to use:

• Download dataset from kaggle link

• Unzip the archive folder

• Browse any picture from the app

• Select any image you want from the file : New Plant Diseases Dataset (Augmented)

• Once image is uploaded, press the predict button