Project-AgML/crop_weeds_greece

Crop Weeds Greece

A dataset for image classification of Crop Weeds Greece. The dataset contains 508 images across 4 classes: black_nightshade, cotton, tomato, velvet_leaf.
Images per class:

• black_nightshade: 123
• cotton: 54
• tomato: 201
• velvet_leaf: 130

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{ESPEJOGARCIA2020105306,
title = {Towards weeds identification assistance through transfer learning},
journal = {Computers and Electronics in Agriculture},
volume = {171},
pages = {105306},
year = {2020},
issn = {0168-1699},
doi = {https://doi.org/10.1016/j.compag.2020.105306},
url = {https://www.sciencedirect.com/science/article/pii/S0168169919319854},
author = {Borja Espejo-Garcia and Nikos Mylonas and Loukas Athanasakos and Spyros Fountas and Ioannis Vasilakoglou}
}

https://github.com/AUAgroup/early-crop-weed