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Commercial development and evaluation of a machine vision-based weed spot sprayer

This project aimed to integrate machine vision-based weed discrimination algorithms with commercial spray control systems from a spray equipment manufacturer, to develop a field-ready, optimised, precision weed detection system. Traditional practices of broadacre weed management were compared with the use of the machine vision-based spot spray system by calculating the volumes of herbicide used for both potential approaches. The volume of herbicide was significantly reduced using the machine vision-based weed spot sprayer highighting the potential for herbicide cost savings.

Project date

1 Jul 2013-30 Apr 2019
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Principal investigator

Steven Rees & Cheryl McCarthy

Project led by

Cotton

Cotton Research and Development Corporation (CRDC)

The Cotton Research and Development Corporation (CRDC) delivers outcomes in cotton research, development and extension (RD&E) for the Australian …

Cotton
  • Location

    Australia wide

  • Organisation type

    Research funding body

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Characteristics of disease suppressive cotton farming systems and soils understood

Soil borne diseases continue to be one of the major constraints to cotton production. This project helps to identify soil …
  • Led by

    Cotton Research and Development Corporation (CRDC)

  • Start date

    1 Sep 2019

  • Research organisations

    Commonwealth Scientific and Industrial Research Organisation (CSIRO), Cotton Research and Development Corporation (CRDC), New South Wales Department of Primary Industries (NSW DPI), Queensland Department of Agriculture and Fisheries (QDAF), The University of Queensland (UQ), University of Southern Queensland (USQ)

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