Sugar Harvest technology Research project Harvester losses assessment by real-time Machine Vision Systems This project seeks to develop a novel proof-of-concept Machine Vision System for real-time estimation of cane losses during harvest, using imaging to detect billet particles and juice that falls onto trash blanket. Funded by Sugar Research Australia (SRA) Project date 1 Jul 2019 - 31 Jul 2021 Research organisation University of Southern Queensland