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

Funding

United States Department of Agriculture

58-6064-8-023

National Institute of Food and Agriculture

ND01487

Licence