• S. SAI KUMAR
• Dr. J. RAJENDRA PRASAD

Data mining tools allow enterprises to predict future trends. Agriculture prediction is the toughest task for agricultural departments and farmers across the globe. Agriculture growth depends on different parameters, namely Water, Nitrogen, Weather, Soil characteristics, Crop rotation, Soil moisture, Surface temperature and Rain water etc. This application gives a brief analysis of crop yield prediction. In this application, we predicted production of some crops like Paddy, Maize, Groundnut, Sugarcane, and Greengram for all the districts of Andhra Pradesh using Multiple linear regression (MLR).

Multiple Linear Regression (MLR), RStudio, Classification, Clustering, Prediction, Regression.

"PREDICTION OF VARIOUS CROP YIELDS IN ANDHRA PRADESH USING MULTIPLE LINEAR REGRESSION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.543-552, March-2019, Available :http://www.jetir.org/papers/JETIR1903E83.pdf

"PREDICTION OF VARIOUS CROP YIELDS IN ANDHRA PRADESH USING MULTIPLE LINEAR REGRESSION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp543-552, March-2019, Available at : http://www.jetir.org/papers/JETIR1903E83.pdf