Field ready, optimised precision weed identification sensor system : final report 2015/055

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dc.contributor.authorMcCarthy, C
dc.date.accessioned2019-11-28T22:49:47Z
dc.date.available2019-11-28T22:49:47Z
dc.date.issued2019
dc.description.abstractThis 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. The project followed from SRA project NCA011 (2010/011) in which proof-of-concept algorithms for discriminating Guinea Grass from sugarcane were developed.
dc.identifier.urihttps://hdl.handle.net/11079/18032
dc.keywordsprecision weed
dc.language.isoenen
dc.publisherSugar Research Australia Limited
dc.titleField ready, optimised precision weed identification sensor system : final report 2015/055

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Field ready, optimised precision weed identification sensor system
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