Abstract:
Weather risk can be considered as the dominant
among the risks associated with agriculture. The
unpredictability of weather and its adverse impact on
agriculture has made the industry unstable. However, the
authorities have not been able to provide farmers with a
mechanism which assures that their livelihood is preserved. To
address this issue, Weather index-based crop insurance has been
used in many countries. Risk modeling is an important
component in this insurance. After quantifying the uncertainties
in crop harvest due to weather factors, the insurance company
can guide the farmers accordingly. Crop yield prediction based
on weather factors can be used for this. This study proposes a
Fuzzy Logic System which relates input (weather factors) and
output (crop yield) variables through linguistic rules. The
output of this model can be used for risk modeling in weather
index-based crop insurance based on which the possible paddy
crop damage can be minimized.
