Development and field evaluation of a machine vision based in-season weed detection system for wild blueberry

Tanzeel U. Rehman, Qamar U. Zaman, Young K. Chang, Arnold W. Schumann, Kenneth W. Corscadden

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)
Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalComputers and Electronics in Agriculture
Volume162
DOIs
Publication statusPublished - Jul 2019

ASJC Scopus Subject Areas

  • Horticulture
  • Forestry
  • Agronomy and Crop Science
  • Computer Science Applications

Keywords

  • Color co-occurrence matrices
  • Machine vision
  • Sensing
  • Textural analysis
  • Variable rate sprayer
  • Weed detection

Fingerprint

Dive into the research topics of 'Development and field evaluation of a machine vision based in-season weed detection system for wild blueberry'. Together they form a unique fingerprint.

Cite this