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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
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| Series: | Environmental Research Communications |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2515-7620/adba2c |
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