Enhancing weather index insurance through surrogate models: leveraging machine learning techniques and remote sensing data

Enhancing weather index insurance through surrogate models: leveraging machine learning techniques and remote sensing data

The agricultural industry’s crop yield production is highly vulnerable to extreme weather events, heightened by the impacts of climate change. Weather Index Insurance (WII) presents an innovative solution for insurers to protect farmers from significant yield losses. The objective of this study is t...

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Bibliographic Details
Main Authors: Sachini Wijesena, Biswajeet Pradhan
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Environmental Research Communications
Subjects:
weather index insurance
machine learning
crop yield
remote sensing
risk management
climate change
Online Access:https://doi.org/10.1088/2515-7620/adba2c
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https://doi.org/10.1088/2515-7620/adba2c

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