Powered by Transfer Learning

Advanced Plant Disease
Detection System

Upload a rice leaf image and let our AI model — trained with Xception transfer learning — detect diseases with 96.67% accuracy.

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Model Accuracy
96.67%
Xception with Data Augmentation
Disease Classes
3
Rice Leaf Diseases Detected

Upload Leaf Image

Drag and drop or click to upload a rice leaf image for disease detection

JPG
PNG
WEBP

Drop your files here.

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Supports: JPG, PNG, WEBP (Max 16MB)

How It Works

Three simple steps to detect diseases

Step 01

Upload

Take a photo of the rice leaf and upload it to our platform

Step 02

Process

Our Xception-based model preprocesses and analyzes the image

Step 03

Results

Get instant diagnosis with confidence scores and treatment suggestions

Detectable Diseases

High Severity

Bacterial Leaf Blight

Xanthomonas oryzae pv. oryzae

Water-soaked lesions on leaves that turn brown and dry. Can cause wilting and death of the plant in severe cases.

Medium Severity

Brown Spot

Cochliobolus miyabeanus

Small oval to elliptical brown spots with yellow halo. Spots can coalesce causing leaves to wither and die.

Low Severity

Leaf Smut

Entyloma oryzae

Small, round, reddish-brown spots that turn black and produce powdery spores. Affects grain quality.

Technology Stack

TensorFlow Keras Xception Flask Python NumPy Transfer Learning Data Augmentation