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analytics to create practical, regionally relevant outcomes for growers and industry. Key responsibilities will include, but not limited to: Research: Conduct regional evidence syntheses and meta-analyses
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. In this role, you will investigate how emerging on-farm sensor technologies, particularly virtual fencing, can support more precise and informed livestock, grazing and landscape management decisions
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automated, augmented or unaffected by emerging technologies. Using this data, a classification algorithm is then trained to predict the probability that an occupation in the data-set is automated
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automated, augmented or unaffected by emerging technologies. Using this data, a classification algorithm is then trained to predict the probability that an occupation in the data-set is automated
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techniques, map matching and magnetic navigation solutions. This project aims to investigate the advantages of multi-sensor fusion (inertial, acoustic, visual, and magnetic) for underwater sensing and