Deep Learning CNN Model To Predict Various Tomato Disease Using Leaf Images

The Model is Trained Using The Tomato Leaf Image Dataset.

Different Kind of Diseases The Model can Predict!

Bacterial spot
Early blight
Late blight
Leaf Mold.png
Septoria leaf spot
Spider mites Two spotted spider mite
Target Spot
Tomato Yellow Leaf Curl Virus

The Model can also Identify a Healthy Tomato Leaf.

Sample Images

Image Shape After Preprocesing: (50, 50, 3)

`Healthy Tomato Leaf Images`

`Tomato Leaf Image having Bacterial spot`

`Tomato Leaf Image having Early blight`

`Tomato Leaf Image having Late blight`

`Tomato Leaf Image having Leaf Mold`

`Tomato Leaf Image having Septoria leaf spot`

`Tomato Leaf Image having Spider mites Two spotted spider mite`

`Tomato Leaf Image having Target Spot`

`Tomato Leaf Image having Tomato Yellow Leaf Curl Virus`

Model Architecture

Model Accuarcy

About Model

Train accuracy is 99.96 percent
Test accuracy is also 96.99 percent
The Model is not overfit or underfit

Contributed by Srajan