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
Utilising novel Pongamia trees to decarbonise Australia’s beef value-chain. Progress towards a carbon neutral beef industry typically focusses on nutritional strategies, overlooking potential innovations in farming system configuration. This project aims to develop a framework for the integration of Pongamia into beef production systems, so that not only emissions reductions are maximised, but also to support carbon capture and farm system resilience. This project seeks to determine the impact o ....Utilising novel Pongamia trees to decarbonise Australia’s beef value-chain. Progress towards a carbon neutral beef industry typically focusses on nutritional strategies, overlooking potential innovations in farming system configuration. This project aims to develop a framework for the integration of Pongamia into beef production systems, so that not only emissions reductions are maximised, but also to support carbon capture and farm system resilience. This project seeks to determine the impact of Pongamia meal on cattle production efficiency, meat quality and methane emissions. Through quantification of carbon sequestration potential in tree plantations, whole-farm modelling will elucidate production scenarios capable of achieving the reductions needed for a carbon neutral Australian beef industry.Read moreRead less