articleComputers and Electronics in AgricultureJan 19, 2023Closed access

YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems

FDFengying DangDCDong ChenYLYuzhen LuZLZhaojian Li

Michigan State University · Mississippi State University

Indexed incrossref

Abstract

No abstract available for this paper.

Citation impact

264
total citations
FWCI
98.37
Percentile
100%
References
79
Citations per year

Authors

4

Topics & keywords

Topics
Keywords
  • Benchmark (surveying)
  • Weed
  • Detector
  • Object detection
  • Artificial intelligence
  • Computer science
  • Agronomy
  • Biology
No related works found for this paper.

Funding