Australian plague locust population genetics and migratory behaviour. The project will allow improved monitoring and forecasting of locusts in Australia and thereby help prevent locust outbreaks. Benefits will arise directly through greater effectiveness in reducing locust damage to crops, and indirectly to Australian rural industry generally through the economic benefits of reduced losses and locust control costs. Environmental and social benefits will also arise from reduced, better targeted u ....Australian plague locust population genetics and migratory behaviour. The project will allow improved monitoring and forecasting of locusts in Australia and thereby help prevent locust outbreaks. Benefits will arise directly through greater effectiveness in reducing locust damage to crops, and indirectly to Australian rural industry generally through the economic benefits of reduced losses and locust control costs. Environmental and social benefits will also arise from reduced, better targeted use of chemical insecticides. This in turn can produce secondary economic benefits, e.g. through enhanced growth and profitability of the organic beef industry within the main locust-outbreak area. Read moreRead less
Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques ....Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques that use large amounts of unlabeled data to enhance performance. Our design takes advantage of additional information available for marine imagery such as geolocation and remote sensing context. We will explore how these representations can guide additional sampling and improve performance in classification tasks.Read moreRead less
Novel, Cost-Effective Methods for Measuring Methane Emissions from Grazing Livestock. Agriculture is second only to energy generation as a source of greenhouse gas emissions in Australia. Methane from cattle and sheep constitute 60% of these agricultural emissions. Their abatement is a win-win goal for the agricultural industry, reducing greenhouse emissions while increasing food efficiency. This project will develop a novel, cost- and-labour efficient method for on-farm measurements of the emis ....Novel, Cost-Effective Methods for Measuring Methane Emissions from Grazing Livestock. Agriculture is second only to energy generation as a source of greenhouse gas emissions in Australia. Methane from cattle and sheep constitute 60% of these agricultural emissions. Their abatement is a win-win goal for the agricultural industry, reducing greenhouse emissions while increasing food efficiency. This project will develop a novel, cost- and-labour efficient method for on-farm measurements of the emissions of methane from free-grazing cattle and sheep in their undisturbed environment. The method will be used to assess the dependence of methane emissions on factors such as diet and the efficacy of proposed methods for abatement of methane emissions, as well as providing improved data to the National Greenhouse Gas Inventory.Read moreRead less
Developing a novel carbon negative fertiliser . Food security is vital to support our growing population. However, our increasing reliance on intensive farming systems necessitates increased fertiliser use, leading to increased water pollution and soil degradation - threatening both the Australian environment and food security. Increasing carbon storage capacity by soil and decreasing fertiliser use are two of the primary pathways for restoring the bio-support capacity of soils and reducing farm ....Developing a novel carbon negative fertiliser . Food security is vital to support our growing population. However, our increasing reliance on intensive farming systems necessitates increased fertiliser use, leading to increased water pollution and soil degradation - threatening both the Australian environment and food security. Increasing carbon storage capacity by soil and decreasing fertiliser use are two of the primary pathways for restoring the bio-support capacity of soils and reducing farming footprints. This innovative and first-of-its-kind project aims to develop a cost-effective, carbon negative fertiliser that reduces fertiliser inputs and increases soil carbon storageRead moreRead less