RECOMMENDATION IN AGRONOMICAL DATA USING DATA MINING TECHNIQUES

Agriculture is the backbone of Indian economy. In India various crops are grown such as cotton, wheat, rice, mustard, tea, coffee. The land of agronomical people is distributed into four categories such as small land holding farmer, moderate land holding farmer, high land holding farmer and landless farmers. Around 70% farmers are belongs to the small land holding farmer category. This reflects that majority of farmers having less area of growing. Farmer directly depends on the productivity of the crop. So, this paper is focused to perform Feature Selection and yield prediction of the crop by implementing Clustering algorithm.