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 typ

Description

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.. Scheme: Early Career Industry Fellowships. Field: 3502 - Banking, Finance and Investment. Lead: Dr Qingxia (Jenny) Wang