Weed-crop dataset in precision agriculture: Resource for AI-based robotic weed control systems
Published: 19 February 2025| Version 2 | DOI: 10.17632/mthv4ppwyw.2
Contributors:
, , , , , William Aderholdt, , Description
This dataset consists of weed and crop images, featuring five distinct weed species—Kochia, Horseweed, Water Hemp, Ragweed, and Redroot Pigweed—and eight crop species: Black Bean, Canola, Corn, Lentil, Field Pea, Flax, Soybean, and Sugar Beet. The images are in RGB format and labeled using the YOLO annotation format. This data can be leveraged to develop AI models aimed at accurate weed and crop identification.
Files
Institutions
North Dakota State University
Categories
Weed Management