beingsiddharthadhar/potato_disease_classification

Potato Disease Classification using TensorFlow is a project designed to identify three types of potato plant health: Early Blight, Healthy, and Late Blight. This machine learning model employs convolutional neural networks (CNNs) to analyze images, aiding farmers in early disease detection and crop protection.

Potato Disease Classification using TensorFlow

This repository contains a simple TensorFlow project for classifying potato diseases into three categories: Early Blight, Healthy, and Late Blight. The project is designed to demonstrate a basic image classification task using a convolutional neural network (CNN).

Dataset

The dataset used for this project consists of images of potato plants affected by different diseases. The dataset is given in the PlantVillage folder in the training folder. The dataset is organized into three folders: Potato___Early_blight, Potato___healthy, and Potato___Late_blight, each containing images corresponding to their respective classes.

Prerequisites

Before running the code, ensure you have the following dependencies installed:

• Python (>=3.6)
• TensorFlow (>=2.0)
• NumPy
• Matplotlib (for visualization)

You can install these packages using pip