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.
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