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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 funded by


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 …

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  • Organisation type

    Research funding body

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