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