Use of Random Coefficient Model for Fruit Bearing Prediction in Crop Insurance Park Heungsun; Jun Yong-Bum; Gil Young-Soo;
In order to estimate the damage of orchards due' to natural disasters such as typhoon, severe rain, freezing or frost, it is necessary to estimate the number of fruit bearing before and after the damage. To estimate the fruit bearing after the damages are easily done by delegations, but it cost too high to survey every insured farm household and calculate the fruit bearing before the damage. In this article, we suggest to use a random coefficient model to predict the numbers of fruit bearing in the orchards before the damage based on the tree age and the area information.
General Linear Mixed Model;BLUP;
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