Automatic detection of tulip breaking virus (TBV) in tulip fields using machine vision

G. Polder, G.W.A.M. van der Heijden, J. van Doorn, A.H.M.C. Baltissen

Research output: Contribution to conference › Conference paper

Abstract

Tulip breaking virus (TBV) causes severe economic losses for the Netherlands. Infected plants must be removed from the field as soon as possible to prevent further spread by aphids. Until now screening is done by visual inspection in the field. As the availability of human experts is limited there is an urgent need for a rapid, automated and objective method of screening. Based on laboratory experiments in 2008, we developed a vision method for use in the open field. From 2009 – 2011 field trials were carried out and the techniques were tested and improved. The final score of our system in the last experiment (2011) approached the scores obtained by the human crop experts.
Original languageEnglish
Publication statusPublished - 2012
EventInternational Conference of Agricultural Engineering, Valencia, Spain -
Duration: 8 Jul 2012 → 12 Jul 2012

Conference

ConferenceInternational Conference of Agricultural Engineering, Valencia, Spain
Period8/07/12 → 12/07/12

Keywords

  • plant viruses
  • tulip breaking virus
  • precision agriculture
  • monitoring
  • tests
  • image processing
  • robots

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    Polder, G., van der Heijden, G. W. A. M., van Doorn, J., & Baltissen, A. H. M. C. (2012). Automatic detection of tulip breaking virus (TBV) in tulip fields using machine vision. Paper presented at International Conference of Agricultural Engineering, Valencia, Spain, . https://edepot.wur.nl/244613