Development of a low-cost machine vision system for selective sprayer

L. Tang, L. Tian, B. L. Steward

Research output: Contribution to conferencePaperpeer-review

Abstract

In this paper, a novel system design methodology for developing a low-cost real-time machine vision system for selective sprayer was reported. The system consisted of multiple low-cost Universal Serial Bus (USB)-based video-conferencing digital cameras, a 16-bit microprocessor-based controller and a laptop PC. Sensor resolution under the consideration of minimum sensor detectable weed size was quantified through experiment. Based on sensor characteristics, corresponding system integration strategies and algorithms were developed. With incorporating low-cost sensors, the cost of sensing components will be dramatically reduced compared with traditional analog video camera and frame grabber-based machine vision systems. A prototype system was set up and the results of performance evaluation experiments validated the system design. Low-cost, simplicity and high-efficiency featured the developed system.

Original languageEnglish (US)
Pages853-867
Number of pages15
StatePublished - 2000
Event2000 ASAE Annual International Meeting, Technical Papers: Engineering Solutions for a New Century - Milwaukee, WI., United States
Duration: Jul 9 2000Jul 12 2000

Other

Other2000 ASAE Annual International Meeting, Technical Papers: Engineering Solutions for a New Century
Country/TerritoryUnited States
CityMilwaukee, WI.
Period7/9/007/12/00

Keywords

  • Low Cost
  • Machine Vision
  • Selective Spraying

ASJC Scopus subject areas

  • Engineering(all)

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