• Dr.R.Umarani
• P.Tamilarasi

Agriculture is the backbone of India. But now Indian agriculture is in underprivileged condition. Because the crop yield depends upon the monsoon rain fall and various other factors and those factors do not favor the production of the crops to the maximum. Crop yield prediction is an extremely interested research part in agriculture. Yield prediction is very tricky to be solved based on the presented data. Yield prediction helps the farmers to plan the requirements in advance. Their various deeds are based on only crop yields. Hence yield prediction is very useful to the farmers. Using data analytics techniques we can crack this problem efficiently. Data analytics plays an important role to examine data sets in various fields such as agriculture, medical, crime, commercial industries etc. In this paper we proposed a brief analysis of crop yield prediction using k-means clustering techniques based on different parameters like years, areas and production of various crops in India. The k-means cluster algorithm is used to locate group in the data, with the figure of group represented by the variable K. This algorithm is planned to give all the data points to one of K group based on the characteristic. This algorithm was developed and implemented using R

Crop Yield, Data analytics, K-means clustering, Prediction

"DATA ANALYSIS OF CROP YIELD PREDICTION USING K-MEANS CLUSTERING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.535-538, April-2019, Available :http://www.jetir.org/papers/JETIR1904582.pdf

"DATA ANALYSIS OF CROP YIELD PREDICTION USING K-MEANS CLUSTERING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp535-538, April-2019, Available at : http://www.jetir.org/papers/JETIR1904582.pdf