Weather index insurance parameter optimisation using machine learning and remote sensing data
Author:
Affiliation:
1. University of Technology Sydney,Centre for Advanced Modelling and Geospatial Information Systems,Sydney,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10543250/10544374/10544637.pdf?arnumber=10544637
Reference28 articles.
1. Options for insuring Australian agriculture;Hatt,2012
2. Impacts of Weather and Time Horizon Selection on Crop Insurance Ratemaking: A Conditional Distribution Approach
3. Features and Pricing of Weather Index Insurance —based on rice temperature index insurance in Wangqing county
4. Catastrophic drought insurance based on the remotely sensed normalised difference vegetation index for smallholder farmers in Zimbabwe
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