Analysing and Forecasting Rajasthan’s Agriculture Productivity using Association Rule Mining and ARIMA Modelling
Parul Mahawar, Vishal Shrivastava · 2018
India is an agricultural dependent developing nation. Hence, forecasting productivity and understanding the agricultural patterns becomes significant. This paper focuses on Rajasthan state (India) and draw notable results using association rule mining and ARIMA modeling. The dataset considered for present study was of twenty-nine districts of Rajasthan for fourteen years from 1997 to 2010 depending on the data availability. The inferences drawn said much about the productivity patterns of the crops fostered by particular state's regions and seasonally. After this analysis, state's productivity for next ten years was forecasted. The implementation was done in R and some interesting results were drawn.