Blobee Scan App

The Blobee Scan App is a mobile application designed to simplify the design and estimation of irrigation systems for crop fields. The app uses image recognition technology and cost estimation capabilities to identify the venous network of a model irrigation system and calculate the total length of water pipes. Prerequisites

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

Python 3.x
OpenCV (cv2)
Kivy

You can install the dependencies using pip:

pip install opencv-python pip install kivy

Getting Started

Clone this repository to your local machine.
Navigate to the project directory.

Usage

To run the Blobee Scan App, execute the following command:

css

python code.py

Once the app is running, you will see a window with a "Capture" button. Press the button to capture a frame from the webcam. The captured frame will be processed using the implemented image recognition logic (placeholder code), and the processed frame will be displayed in the app's image widget. Customization

To customize the image recognition and calculation logic, modify the process_image method in the BlobeeScanApp class. Replace the placeholder code with your own image processing algorithms. Contributions

Contributions to the Blobee Scan App are welcome! If you have any suggestions, improvements, or bug fixes, please feel free to submit a pull request. #License

This project is licensed under the MIT License. Acknowledgments

The Blobee Scan App was developed using the OpenCV and Kivy libraries.
The app is a simplified implementation and serves as a starting point for further customization and enhancement.