Data used for article "Crop and Weed Recognition with Unsupervised and Semi-supervised Learning Approaches - A Systematic Review"
Published: 24 September 2026| Version 1 | DOI: 10.17632/849z27z8xh.1
Contributor:
Daniel PohlDescription
Supplementary data for "Crop and Weed Recognition with Unsupervised and Semi-supervised Learning Approaches – A Systematic Review" containing raw research database exports, data extraction tables and python script for generating article figures.
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Institutions
- Kempten University of Applied SciencesBavaria, Kempten (Allgäu)
Categories
Computer Vision, Agricultural Engineering, Machine Learning, Weed Control