Decision Support System for Detection of False Agricultural Insurance Claims using Genetic Support Vector Machines

Insurance process if highly indeed for agricultural sector. Agriculture is purely a climate-based process and the climate or the nature is in the control of anybody. Hence, without insurance process and if anything, wrong happened with the farmer, then the farmer has to bear a heavy financial loss. So, to stabilize the investment, income and life of farmer the insurance process is an unavoidable mechanism. The proposed scheme Genetic Support Vector Machines (GSVM) is based on a study which has been done in the year of 2017-18 for Karnataka state. There are four districts like Dharwad, Haveri and Vijayapura, and Belgavi have been included for this study. In this paper we have proposed a machine learning-based decision support system which validates the genuineness of claims made by the farmers.