Early Career Industry Fellowships - Grant ID: IE230100098
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
Hunting high and low: mapping ancient topography to find copper. Transitioning to a decarbonised society requires significant amounts of copper; however, preventing a systems-based exploration approach for copper is the lack of a first-order dataset of the Earth’s surface evolution, known as palaeogeography. This project aims to unearth potential areas of porphyry copper through deep time by developing innovative global palaeogeography reconstructions. Expected outcomes of this project include n ....Hunting high and low: mapping ancient topography to find copper. Transitioning to a decarbonised society requires significant amounts of copper; however, preventing a systems-based exploration approach for copper is the lack of a first-order dataset of the Earth’s surface evolution, known as palaeogeography. This project aims to unearth potential areas of porphyry copper through deep time by developing innovative global palaeogeography reconstructions. Expected outcomes of this project include new quantitative palaeogeography reconstructions, as well as the first well-constrained reconstructions of copper preservation potential. This should provide benefits such as an improved understanding of the porphyry copper lifecycle, with significant impacts for resource exploration and decarbonisation efforts.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100119
Funder
Australian Research Council
Funding Amount
$427,111.00
Summary
Towards Internet of Things Enabled Automated Mushroom Cultivation. This project aims to develop novel Internet-of-Things based learning techniques to inform the design and construction of a portable, automated system for the cultivation of mushrooms. The expected outcomes are a portable smart mushroom cultivation system that provides access to new agriculture techniques and local, fresh supplies in rural and remote areas; learning algorithms that detect mushroom ripeness and set the best environ ....Towards Internet of Things Enabled Automated Mushroom Cultivation. This project aims to develop novel Internet-of-Things based learning techniques to inform the design and construction of a portable, automated system for the cultivation of mushrooms. The expected outcomes are a portable smart mushroom cultivation system that provides access to new agriculture techniques and local, fresh supplies in rural and remote areas; learning algorithms that detect mushroom ripeness and set the best environmental parameters; and a dataset of mushroom cultivation parameters. These products, and associated training opportunities through a strong focus on public and industry engagement, will benefit the industry partners and horticultural producers to improve resource efficiency, waste reduction, and overall yield.Read moreRead less