---
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

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