Abstract

Enhancement in information technology has led to design of many applications in the field of crop disease recognition. Disease recognition applications generate voluminous data. The disease related data can be processed using data mining techniques to predict various diseases. Data mining is a field of analysing, extracting data for furnishing new knowledge which represents the relationship between different patterns of data. Some of the data mining methods include classification, clustering, prediction and association rule mining. In the present work data mining is used for disease prediction.

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