CV_for_phenotyping

Computer Vision in Digital Agriculture: CV and Deep Learning techniques for apple segmentation

Seminar, Introduction to Digital Agro.

Presentation

Computer Vision for Semantic Segmentation - pdf

Google Colab

Open CV_in_DA_Seminar_Apples_segmentation.ipynb in Google Colab!

Open CV_in_DA_Seminar_Biomass_estimation.ipynb in Google Colab!

Topics and plan

1. Semantic segmentation
2. RGB and HSV colour models
3. Practice
4. Project Proposal

Dependencies

OpenCV - https://opencv.org/

Meta

Nikita Stasenko – Nikita.Stasenko@skoltech.ru

License

Distributed under the MIT license. See LICENSE for more information.

Contributing

1. Fork it (https://github.com/EDSEL-skoltech/Intro_to_Digital_Agriculturefork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request