An Overview on Data Mining Techniques for Rice Yield Prediction on Clustered Region Of Kerala

Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Data mining extract knowledge from the historical data. Rice production depends on climate, type of the soil, geography, biology and economy. Several factors are having an impact of the production of rice, especially the availability of rainfall in riverbeds near to the paddy fields. For low lying region like Kerala, predicting supply of rice is critical due to varying climate over the last couple of decades. Excessive conversion of paddy fields to households and industry especially in Kuttanad (rice bowl of Kerala).Hence to overcome these issues several statistical methods are being used. Applying such methodologies and techniques on historical yield of crops, it is possible to acquire the data and information which can be helpful to farmers and cultivators to improve the production of rice and helps farmers and government sectors to make favorable decisions and policies that lead to increase the production of rice. Here my focus is on literature study on application of data mining techniques to extract information from the rice yield data of previous years to estimate rice yield.