Improving the Performance of Index Insurance Using Crop Models and Phenological Monitoring
Extreme weather events cause considerable damage to the livelihoods of smallholder farmers globally. Whilst index insurance can help farmers cope with the financial consequences of extreme weather, a major challenge for index insurance is basis risk, where insurance payouts correlate poorly with act...
Main Authors: | Mehdi H. Afshar, Timothy Foster, Thomas P. Higginbottom, Ben Parkes, Koen Hufkens, Sanjay Mansabdar, Francisco Ceballos, Berber Kramer |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/5/924 |
Similar Items
-
Comparative Analysis of Phenology Algorithms of the Spring Barley Model in APSIM 7.9 and APSIM Next Generation: A Case Study for High Latitudes
by: Uttam Kumar, et al.
Published: (2021-02-01) -
Application of DSSAT crop model for wheat crop growth simulation in some wheat growing districts of northern India
by: Anima Biswal, et al.
Published: (2017-12-01) -
Efficiency of Weather Derivatives as Primary Crop Insurance Instruments
by: Dmitry V. Vedenov, et al.
Published: (2004-12-01) -
Paddy crop insurance using satellite-based composite index of crop performance
by: C. S. Murthy, et al.
Published: (2022-12-01) -
Transformative crop insurance solution with big earth data: Implementation for potato in India
by: C.S. Murthy, et al.
Published: (2024-01-01)