Mehfooz08/AgriSenAI

🌱 Plant Disease Detection — MobileNetV2

A deep learning image-classification model for detecting plant diseases from leaf images.

The model uses MobileNetV2 and was trained on the PlantVillage dataset covering 9 crop species and 29 disease/healthy classes.

🤖 Model

Architecture: MobileNetV2

Task: Image Classification

Framework: TensorFlow / Keras

Number of Classes: 29

Crop Species: 9

Supported Crops

• Apple
• Bell Pepper
• Cherry
• Corn (Maize)
• Grape
• Peach
• Potato
• Strawberry
• Tomato

📊 Model Performance

The model achieved 97%+ testing accuracy on the evaluation data used in the project.

Performance reported here is based on the project's test evaluation. Real-world performance may differ when images contain different lighting conditions, backgrounds, camera quality, crop varieties, or diseases not represented in the training dataset.

🔄 Prediction Pipeline

Plant Leaf Image
       ↓
Image Preprocessing
       ↓
MobileNetV2
       ↓
Feature Extraction
       ↓
Classification
       ↓
Predicted Disease
       ↓
Confidence Score