metadata
tags:
- computer-vision
- image-classification
- plant-disease
- agriculture
- mobilenetv2
- tensorflow
- keras
🌱 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