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Harvester losses assessment by real-time machine vision systems

Loss of cane during harvesting due to extraction of cane billets by the harvester cane cleaning system is a very significant loss to all sectors of the sugarcane industry. Most harvesting machines have no system for measuring this cane loss during operation so excessive loss is often unrecognised. This project will develop a novel proof-of concept Machine Vision System for real-time estimation of cane losses during harvesting. With such a system, the harvester operator can potentially adjust harvester operational parameters and amount of loss in response to real-time conditions, thereby minimising sugar losses prior to milling.

Project date

7 Jan 2019-1 Jan 2022
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Principal investigator

Cheryl McCarthy

Project led by


Sugar Research Australia (SRA)

SRA invests in and manages a portfolio of research, development and adoption projects that drive productivity, profitability and sustainability for …

  • Location

    Australia wide

  • Organisation type

    Research funding body, Research service providers

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Focus areas



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