Connect crop rows together from the output of the python package crop-row-detector.

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crop-row-connector

In this tutorial, we will guide you through the steps to run crop-row-connector using the provided test data.

The dataset includes two main files found in the docs/test_dataset/input/ directory:

  • A csv file containing the GPS coordinates of the crop rows.
  • A csv file containing the GPS coordinates of all points in the orthomosaic.

A visual representation of all the points in the orthomosaic can be seen below:

detected crop rows in an orthomosaic

The orthomosaic from which the test data is derived can be found in the docs/test_dataset/ directory as orthomosaic_test_data.tif, and can be viewed using georeferencer tools like QGIS.

To run the crop-row-connector with the test data, follow these steps:

  1. Clone the Repository: If you haven't already, clone the crop-row-connector repository from GitHub to your local machine.
git clone https://github.com/Stormlord2001/crop-row-connector.git
cd crop-row-connector
  1. create a Virtual Environment: It is recommended to create a virtual environment to manage dependencies.
python3 -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`
  1. Install Dependencies: Install the required dependencies into the virtual environment using pip.
pip install .
  1. Run the Connector: Use the following command to run the crop-row-connector with the test data.
crop-row-connector docs/test_dataset/input/row_information_global.csv docs/test_dataset/input/points_in_rows.csv --output_path_connected_crop_rows docs/test_dataset/output/connected_crop_rows.csv --output_path_vegetation_points docs/test_dataset/output/line_points.csv --distance_tolerance 0.12 --angle_tolerance 0.12 --output_path_unhealthy_vegetation_segments docs/test_dataset/output/unhealthy --output_path_healthy_vegetation_segments docs/test_dataset/output/healthy

  1. View the Results: After running the command, you will find the output files in the specified paths. You can visualize the connected crop rows and line points using georeferencer tools like QGIS.

  2. Further documentation: For documentation, start at docs/index.rst.

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