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Early Career Industry Fellowships - Grant ID: IE230100464
Funder
Australian Research Council
Funding Amount
$467,577.00
Summary
A genomic toolkit to future-proof the seaweed industry. This project will combine genomics, artificial intelligence and experimental ecology to develop guidelines and technologies that maximise the growth and resilience of key seaweed species for aquaculture. Industrial seaweed production is growing rapidly and is expected to supply 1000s of jobs to regional Australia and 10% to the nation’s emissions reduction target by 2040. Expected outcomes of this project include a genomics-based regulatory ....A genomic toolkit to future-proof the seaweed industry. This project will combine genomics, artificial intelligence and experimental ecology to develop guidelines and technologies that maximise the growth and resilience of key seaweed species for aquaculture. Industrial seaweed production is growing rapidly and is expected to supply 1000s of jobs to regional Australia and 10% to the nation’s emissions reduction target by 2040. Expected outcomes of this project include a genomics-based regulatory framework and hatchery tools that support rapid industry growth and minimise biosecurity and climate change risks. This will benefit government, aquaculture, and ecosystem management by improving design, assessment and implementation options for sustainable and productive use of Australian seaweeds.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100435
Funder
Australian Research Council
Funding Amount
$431,000.00
Summary
Customising weather index insurance for agribusiness using machine learning. This project aims to customise weather index insurance (WII) by utilising machine learning techniques. WII is used as a type of risk management tool in the agriculture sector to transfer risk due to extreme weather events. Significantly this project expects to establish an accurate correlation between insurance payouts and actual losses and thus improve the WII uptake rate. This will effectively support farmers and agri ....Customising weather index insurance for agribusiness using machine learning. This project aims to customise weather index insurance (WII) by utilising machine learning techniques. WII is used as a type of risk management tool in the agriculture sector to transfer risk due to extreme weather events. Significantly this project expects to establish an accurate correlation between insurance payouts and actual losses and thus improve the WII uptake rate. This will effectively support farmers and agribusinesses in Australia to mitigate and adapt to climate change, help reduce the impact of climate change and ensure crop production and food security.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100179
Funder
Australian Research Council
Funding Amount
$457,906.00
Summary
Drought tolerance in sorghum: the roots of the solution. This project aims to develop an efficient, cost-effective sensing platform for visualising sorghum root systems in the field. Through innovative use of above and below ground sensing technologies, this project expects to generate new knowledge on the association between root structure and improved yield stability under drought stress. Expected outcomes include improved capacity for sorghum breeders and new digital agriculture products and ....Drought tolerance in sorghum: the roots of the solution. This project aims to develop an efficient, cost-effective sensing platform for visualising sorghum root systems in the field. Through innovative use of above and below ground sensing technologies, this project expects to generate new knowledge on the association between root structure and improved yield stability under drought stress. Expected outcomes include improved capacity for sorghum breeders and new digital agriculture products and services to support the industry more broadly. Given that sorghum is the main summer cereal grown in Australia, this should provide significant benefits, such as improved productivity and profitability for the Australian agriculture sector. Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100422
Funder
Australian Research Council
Funding Amount
$386,637.00
Summary
Feasible quantification of greenhouse gas emitted from wastewater treatment. This project aims to develop an accurate and practical approach to quantify greenhouse gas (GHG) emissions from wastewater treatment. Australian water utilities have pledged to net-zero emissions. However, most utilities do not know its actual emissions due to lack of feasible quantification method. This project will apply an interdisciplinary approach via mechanism investigations, mathematical modelling, and field work ....Feasible quantification of greenhouse gas emitted from wastewater treatment. This project aims to develop an accurate and practical approach to quantify greenhouse gas (GHG) emissions from wastewater treatment. Australian water utilities have pledged to net-zero emissions. However, most utilities do not know its actual emissions due to lack of feasible quantification method. This project will apply an interdisciplinary approach via mechanism investigations, mathematical modelling, and field works to develop and validate a new feasible quantification method. This project will also advance knowledge on GHG emissions to guide quantification design. The outcomes will be translated into industry protocols and disseminated into industry. The outcomes provide timely support to water sector on its pathway to net-zero.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100578
Funder
Australian Research Council
Funding Amount
$355,208.00
Summary
Next generation soil carbon satellite-based measurement for carbon markets. Soil carbon sequestration is a federal government priority to offset greenhouse gas emissions. Efforts to advance this opportunity are hindered by the high technical costs of soil carbon quantification. This project will develop an innovative and potentially commercialisable technology that integrates ground data, unmanned aerial vehicles (UAVs), satellites, Eddy covariance CO2 flux towers, soil carbon (C) models, and ar ....Next generation soil carbon satellite-based measurement for carbon markets. Soil carbon sequestration is a federal government priority to offset greenhouse gas emissions. Efforts to advance this opportunity are hindered by the high technical costs of soil carbon quantification. This project will develop an innovative and potentially commercialisable technology that integrates ground data, unmanned aerial vehicles (UAVs), satellites, Eddy covariance CO2 flux towers, soil carbon (C) models, and artificial intelligence (AI) to improve the accuracy of satellite-based soil C modelling. The project will provide an accurate and cost-effective solution to quantification of soil C changes to unlock a large potential of carbon offsets in rangelands in Australia and worldwide.Read moreRead less