Analysis On Crop Yield Prediction Using Data Mining Techniques

In day to day life the requirement of food is increasing at rapid rate and hence the farmers, government and researchers are using several techniques in agriculture for the improvement in production. Plants are usually affected by many pests and diseases. In the process of resolving agricultural issues the concepts of data mining play a fundamental part. Research in agriculture is increasing due to development of technologies and forthcoming challenges [1]. In improving the general growth of a country the plant disease detection has an important place. Diseases in plants and production loss can be predicted with the help of data mining approaches like classification. Future trends in agricultural processes can be forecast with Data mining techniques. Generally damages are examined by using classifiers namely SVM, K-Nearest Neighbor, Decision Tree, Random Forest, Naive Bayes and so on.