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.

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