Year: 2017 | Month: February | volume 10 | Issue 1
Weather based modeling for forecasting area and production of mango in Karnataka
Abstract:
A timely and reliable system of forecasting of mango area and production well in advance is of prime importance to farmers and other people who are dependent on horticultural sector. In this study the crop yield forecast models have been developed by considering time series dataon the area and production of mango crop in Karnataka. Daily data on weather variables and yearly data on other exogenous variables of Karnataka state are considered under this study. Weighted and unweighted indices are developed based on the considered weather variables and these indices are further used as independent variables in the regression model. In this study the stepwise regression analysis and ARIMA models were used to forecast the area and production of mango in Karnataka. The empirical study reveals that the weather based stepwise regression model performed better than the ARIMA model for forecasting area and production of mango in Karnataka.
© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Print This Article Email This Article to Your Friend
