| --- |
| tags: |
| - computer-vision |
| - image-classification |
| - plant-disease |
| - agriculture |
| - mobilenetv2 |
| - tensorflow |
| - keras |
| --- |
| |
| # 🌱 Plant Disease Detection — MobileNetV2 |
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| A deep learning image-classification model for detecting plant diseases from leaf images. |
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| The model uses **MobileNetV2** and was trained on the **PlantVillage dataset** covering 9 crop species and 29 disease/healthy classes. |
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| ## 🤖 Model |
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| **Architecture:** MobileNetV2 |
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| **Task:** Image Classification |
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| **Framework:** TensorFlow / Keras |
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| **Number of Classes:** 29 |
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| **Crop Species:** 9 |
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| ### Supported Crops |
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| - Apple |
| - Bell Pepper |
| - Cherry |
| - Corn (Maize) |
| - Grape |
| - Peach |
| - Potato |
| - Strawberry |
| - Tomato |
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| ## 📊 Model Performance |
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| The model achieved **97%+ testing accuracy** on the evaluation data used in the project. |
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| > 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. |
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| ## 🔄 Prediction Pipeline |
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| ```text |
| Plant Leaf Image |
| ↓ |
| Image Preprocessing |
| ↓ |
| MobileNetV2 |
| ↓ |
| Feature Extraction |
| ↓ |
| Classification |
| ↓ |
| Predicted Disease |
| ↓ |
| Confidence Score |
